beta_fit.ols()
|
Fit Simple Mediation Model
for Data with Beta X - Ordinary Least Squares |
beta_fit.ols_simulation()
|
Fit Simple Mediation Model
for Data with Beta X - Ordinary Least Squares
(Simulation) |
beta_fit.ols_simulation_summary()
|
Fit Simple Mediation Model
for Data with Beta X - Ordinary Least Squares
(Simulation Summary) |
beta_fit.ols_task()
|
Fit Simple Mediation Model
for Data with Beta X - Ordinary Least Squares
(Single Task) |
beta_fit.ols_task_summary()
|
Fit Simple Mediation Model
for Data with Beta X - Ordinary Least Squares
(Single Task Summary) |
beta_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data with Beta X - Structural Equation Modeling |
beta_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Simulation) |
beta_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Simulation Summary) |
beta_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Single Task) |
beta_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Single Task Summary) |
beta_std_fit.sem.mlr()
|
Fit Standardized Simple Mediation Model
for Data with Beta X - Structural Equation Modeling |
beta_std_fit.sem.mlr_simulation()
|
Fit Standardized Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Simulation) |
beta_std_fit.sem.mlr_simulation_summary()
|
Fit Standardized Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Simulation Summary) |
beta_std_fit.sem.mlr_task()
|
Fit Standardized Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Single Task) |
beta_std_fit.sem.mlr_task_summary()
|
Fit Standardized Simple Mediation Model
for Data with Beta X - Structural Equation Modeling
(Single Task Summary) |
exp_fit.ols()
|
Fit Simple Mediation Model
for Data with Exponential X - Ordinary Least Squares |
exp_fit.ols_simulation()
|
Fit Simple Mediation Model
for Data with Exponential X - Ordinary Least Squares
(Simulation) |
exp_fit.ols_simulation_summary()
|
Fit Simple Mediation Model
for Data with Exponential X - Ordinary Least Squares
(Simulation Summary) |
exp_fit.ols_task()
|
Fit Simple Mediation Model
for Data with Exponential X - Ordinary Least Squares
(Single Task) |
exp_fit.ols_task_summary()
|
Fit Simple Mediation Model
for Data with Exponential X - Ordinary Least Squares
(Single Task Summary) |
exp_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling |
exp_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Simulation) |
exp_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Simulation Summary) |
exp_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Single Task) |
exp_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Single Task Summary) |
exp_std_fit.sem.mlr()
|
Fit Standardized Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling |
exp_std_fit.sem.mlr_simulation()
|
Fit Standardized Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Simulation) |
exp_std_fit.sem.mlr_simulation_summary()
|
Fit Standardized Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Simulation Summary) |
exp_std_fit.sem.mlr_task()
|
Fit Standardized Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Single Task) |
exp_std_fit.sem.mlr_task_summary()
|
Fit Standardized Simple Mediation Model
for Data with Exponential X - Structural Equation Modeling
(Single Task Summary) |
fit.cov()
|
Fit Saturated Model - Structural Equation Modeling |
fit.ols()
|
Fit Simple Mediation Model - Ordinary Least Squares |
fit.sem()
|
Fit Simple Mediation Model - Structural Equation Modeling |
fit.sem.mlr()
|
Fit Simple Mediation Model - Structural Equation Modeling |
mvn_fit.ols()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares |
mvn_fit.ols_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares
(Simulation) |
mvn_fit.ols_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares
(Simulation Summary) |
mvn_fit.ols_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares
(Single Task) |
mvn_fit.ols_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Ordinary Least Squares
(Single Task Summary) |
mvn_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling |
mvn_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Simulation) |
mvn_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Simulation Summary) |
mvn_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Single Task) |
mvn_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Single Task Summary) |
mvn_mar_10_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% - Structural Equation Modeling |
mvn_mar_10_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% - Structural Equation Modeling
(Simulation) |
mvn_mar_10_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% - Structural Equation Modeling
(Simulation Summary) |
mvn_mar_10_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% - Structural Equation Modeling
(Single Task) |
mvn_mar_10_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% - Structural Equation Modeling
(Single Task Summary) |
mvn_mar_20_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% - Structural Equation Modeling |
mvn_mar_20_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% - Structural Equation Modeling
(Simulation) |
mvn_mar_20_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% - Structural Equation Modeling
(Simulation Summary) |
mvn_mar_20_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% - Structural Equation Modeling
(Single Task) |
mvn_mar_20_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% - Structural Equation Modeling
(Single Task Summary) |
mvn_mar_30_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% - Structural Equation Modeling |
mvn_mar_30_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% - Structural Equation Modeling
(Simulation) |
mvn_mar_30_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% - Structural Equation Modeling
(Simulation Summary) |
mvn_mar_30_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% - Structural Equation Modeling
(Single Task) |
mvn_mar_30_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% - Structural Equation Modeling
(Single Task Summary) |
mvn_mcar_10_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% - Structural Equation Modeling |
mvn_mcar_10_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% - Structural Equation Modeling
(Simulation) |
mvn_mcar_10_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% - Structural Equation Modeling
(Simulation Summary) |
mvn_mcar_10_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% - Structural Equation Modeling
(Single Task) |
mvn_mcar_10_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% - Structural Equation Modeling
(Single Task Summary) |
mvn_mcar_20_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% - Structural Equation Modeling |
mvn_mcar_20_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% - Structural Equation Modeling
(Simulation) |
mvn_mcar_20_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% - Structural Equation Modeling
(Simulation Summary) |
mvn_mcar_20_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% - Structural Equation Modeling
(Single Task) |
mvn_mcar_20_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% - Structural Equation Modeling
(Single Task Summary) |
mvn_mcar_30_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% - Structural Equation Modeling |
mvn_mcar_30_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% - Structural Equation Modeling
(Simulation) |
mvn_mcar_30_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% - Structural Equation Modeling
(Simulation Summary) |
mvn_mcar_30_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% - Structural Equation Modeling
(Single Task) |
mvn_mcar_30_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% - Structural Equation Modeling
(Single Task Summary) |
mvn_mnar_10_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% - Structural Equation Modeling |
mvn_mnar_10_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% - Structural Equation Modeling
(Simulation) |
mvn_mnar_10_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% - Structural Equation Modeling
(Simulation Summary) |
mvn_mnar_10_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% - Structural Equation Modeling
(Single Task) |
mvn_mnar_10_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% - Structural Equation Modeling
(Single Task Summary) |
mvn_mnar_20_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% - Structural Equation Modeling |
mvn_mnar_20_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% - Structural Equation Modeling
(Simulation) |
mvn_mnar_20_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% - Structural Equation Modeling
(Simulation Summary) |
mvn_mnar_20_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% - Structural Equation Modeling
(Single Task) |
mvn_mnar_20_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% - Structural Equation Modeling
(Single Task Summary) |
mvn_mnar_30_fit.sem()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% - Structural Equation Modeling |
mvn_mnar_30_fit.sem_simulation()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% - Structural Equation Modeling
(Simulation) |
mvn_mnar_30_fit.sem_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% - Structural Equation Modeling
(Simulation Summary) |
mvn_mnar_30_fit.sem_task()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% - Structural Equation Modeling
(Single Task) |
mvn_mnar_30_fit.sem_task_summary()
|
Fit Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% - Structural Equation Modeling
(Single Task Summary) |
mvn_std_fit.sem()
|
Fit Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling |
mvn_std_fit.sem_simulation()
|
Fit Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Simulation) |
mvn_std_fit.sem_simulation_summary()
|
Fit Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Simulation Summary) |
mvn_std_fit.sem_task()
|
Fit Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Single Task) |
mvn_std_fit.sem_task_summary()
|
Fit Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution - Structural Equation Modeling
(Single Task Summary) |
vm_mod_fit.ols()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares |
vm_mod_fit.ols_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares
(Simulation) |
vm_mod_fit.ols_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares
(Simulation Summary) |
vm_mod_fit.ols_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares
(Single Task) |
vm_mod_fit.ols_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Ordinary Least Squares
(Single Task Summary) |
vm_mod_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling |
vm_mod_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Simulation) |
vm_mod_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Simulation Summary) |
vm_mod_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Single Task) |
vm_mod_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Single Task Summary) |
vm_mod_std_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling |
vm_mod_std_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Simulation) |
vm_mod_std_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Simulation Summary) |
vm_mod_std_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Single Task) |
vm_mod_std_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) - Structural Equation Modeling
(Single Task Summary) |
vm_sev_fit.ols()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Ordinary Least Squares |
vm_sev_fit.ols_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Ordinary Least Squares
(Simulation) |
vm_sev_fit.ols_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Ordinary Least Squares
(Simulation Summary) |
vm_sev_fit.ols_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Ordinary Least Squares
(Single Task) |
vm_sev_fit.ols_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Ordinary Least Squares
(Single Task Summary) |
vm_sev_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling |
vm_sev_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Simulation) |
vm_sev_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Simulation Summary) |
vm_sev_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Single Task) |
vm_sev_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Single Task Summary) |
vm_sev_std_fit.sem.mlr()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling |
vm_sev_std_fit.sem.mlr_simulation()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Simulation) |
vm_sev_std_fit.sem.mlr_simulation_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Simulation Summary) |
vm_sev_std_fit.sem.mlr_task()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Single Task) |
vm_sev_std_fit.sem.mlr_task_summary()
|
Fit Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) - Structural Equation Modeling
(Single Task Summary) |
beta_ols_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Beta X |
beta_ols_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_ols_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_ols_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_ols_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
exp_ols_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Exponential X |
exp_ols_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_ols_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_ols_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_ols_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
mc.mvn()
|
Monte Carlo Method for Indirect Effect in a Simple Mediation Model
Assuming \(\alpha\) and \(\beta\) Follow a Multivariate Normal Distribution (Sampling Distribution) |
mc.t()
|
Monte Carlo Method for Indirect Effect in a Simple Mediation Model
Assuming \(\alpha\) and \(\beta\) Follow a \(t\) Distribution (Sampling Distribution) |
mc.wishart()
|
Monte Carlo Method for Indirect Effect in a Standardized Simple Mediation Model
Using the Wishart Distribution (Sampling Distribution) |
mvn_mar_10_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10% |
mvn_mar_10_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Single Task) |
mvn_mar_20_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20% |
mvn_mar_20_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Single Task) |
mvn_mar_30_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30% |
mvn_mar_30_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Single Task) |
mvn_mcar_10_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10% |
mvn_mcar_10_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_20_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20% |
mvn_mcar_20_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_30_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30% |
mvn_mcar_30_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mnar_10_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10% |
mvn_mnar_10_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_20_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20% |
mvn_mnar_20_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Single Task) |
mvn_mnar_20_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Single Task) |
mvn_mnar_30_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30% |
mvn_mnar_30_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Single Task) |
mvn_mnar_30_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Single Task) |
mvn_ols_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution |
mvn_ols_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_ols_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_ols_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_ols_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_sem_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution |
mvn_sem_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_sem_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_sem_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_sem_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.delta()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Delta Method Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution |
mvn_std_mc.mvn.delta_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using Delta Method Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.delta_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using Delta Method Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.delta_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Delta Method Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.delta_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Delta Method Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.sem()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using SEM Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution |
mvn_std_mc.mvn.sem_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using SEM Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.sem_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using SEM Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.sem_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using SEM Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.sem_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using SEM Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.tb()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Textbook Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution |
mvn_std_mc.mvn.tb_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using Textbook Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.tb_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution using Textbook Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.mvn.tb_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Textbook Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.mvn.tb_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution using Textbook Standard Errors for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.wishart()
|
Monte Carlo Method Assuming Wishart Distribution using Estimated Covariance Matrix
for Data Generated from a Multivariate Normal Distribution |
mvn_std_mc.wishart_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Wishart Distribution using Estimated Covariance Matrix
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.wishart_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Wishart Distribution using Estimated Covariance Matrix
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_mc.wishart_simulation()
|
Monte Carlo Method Assuming Wishart Distribution using Estimated Covariance Matrix
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_mc.wishart_task()
|
Monte Carlo Method Assuming Wishart Distribution using Estimated Covariance Matrix
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
vm_mod_ols_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_ols_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_ols_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_ols_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_ols_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_sem_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_sem_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_sem_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_sem_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_sem_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_sev_ols_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_ols_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_ols_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_ols_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_ols_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_sem_mc.mvn()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_sem_mc.mvn_pcci_simulation()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_sem_mc.mvn_pcci_task()
|
Monte Carlo Method Confidence Intervals Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_sem_mc.mvn_simulation()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_sem_mc.mvn_task()
|
Monte Carlo Method Assuming Multivariate Normal Distribution for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
beta_pb.beta()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X |
beta_pb.beta_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.beta_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.beta_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.beta_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.beta_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.beta_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.beta_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Simulation) |
beta_pb.beta_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Single Task) |
beta_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X |
beta_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Simulation) |
beta_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Single Task) |
exp_pb.exp()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X |
exp_pb.exp_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.exp_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.exp_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.exp_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.exp_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.exp_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.exp_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Simulation) |
exp_pb.exp_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Single Task) |
exp_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X |
exp_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Simulation) |
exp_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Single Task) |
mvn_mar_10_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% |
mvn_mar_10_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_20_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% |
mvn_mar_20_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_30_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% |
mvn_mar_30_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mcar_10_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mcar_10_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_20_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% |
mvn_mcar_20_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_30_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% |
mvn_mcar_30_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mnar_10_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mnar_10_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mnar_10_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mnar_10_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mnar_10_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mnar_10_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mnar_10_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mnar_20_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% |
mvn_mnar_20_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mnar_20_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mnar_20_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mnar_20_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mnar_20_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mnar_20_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mnar_30_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% |
mvn_mnar_30_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mnar_30_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mnar_30_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mnar_30_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mnar_30_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mnar_30_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
mvn_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
mvn_std_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Single Task) |
pb.beta()
|
Parametric Bootstrapping Assuming Beta X |
pb.exp()
|
Parametric Bootstrapping Assuming Exponential X |
pb.mvn()
|
Parametric Bootstrapping Assuming Multivariate Normal Distribution |
pb.vm()
|
Parametric Bootstrapping Assuming Multivariate Normal Distribution |
vm_mod_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.vm()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_pb.vm_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.vm_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.vm_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.vm_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.vm_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.vm_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_pb.vm_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_pb.vm_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_std_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_sev_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.vm()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_pb.vm_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.vm_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.vm_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.vm_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.vm_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.vm_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_pb.vm_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_pb.vm_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_pb.mvn()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_std_pb.mvn_bcaci_simulation()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_pb.mvn_bcaci_task()
|
Parametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_pb.mvn_bcci_simulation()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_pb.mvn_bcci_task()
|
Parametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_pb.mvn_pcci_simulation()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_pb.mvn_pcci_task()
|
Parametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_pb.mvn_simulation()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_pb.mvn_task()
|
Parametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
beta_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X |
beta_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Simulation) |
beta_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Beta X
(Single Task) |
beta_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Simulation) |
beta_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Beta X
(Single Task) |
exp_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X |
exp_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Simulation) |
exp_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data with Exponential X
(Single Task) |
exp_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Simulation) |
exp_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data with Exponential X
(Single Task) |
mvn_mar_10_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% |
mvn_mar_10_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% |
mvn_mar_10_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_10_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Bis-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nbbc.fiml_task()
|
Nonparametric Bootstrap with Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10% |
mvn_mar_10_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10%
(Simulation) |
mvn_mar_10_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 10% |
mvn_mar_20_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20% |
mvn_mar_20_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% |
mvn_mar_20_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_20_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_20_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_20_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_20_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_20_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_20_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 20%
(Single Task) |
mvn_mar_20_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20% |
mvn_mar_20_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20%
(Simulation) |
mvn_mar_20_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 20% |
mvn_mar_30_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30% |
mvn_mar_30_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10% |
mvn_mar_30_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_30_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_30_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_30_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_30_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Simulation) |
mvn_mar_30_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 10%
(Single Task) |
mvn_mar_30_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing at Random - 30%
(Single Task) |
mvn_mar_30_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30% |
mvn_mar_30_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30%
(Simulation) |
mvn_mar_30_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing at Random - 30% |
mvn_mcar_10_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mcar_10_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mcar_10_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_10_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10% |
mvn_mcar_10_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_10_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 10% |
mvn_mcar_20_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20% |
mvn_mcar_20_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mcar_20_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_20_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_20_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_20_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_20_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_20_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_20_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 20%
(Single Task) |
mvn_mcar_20_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20% |
mvn_mcar_20_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20%
(Simulation) |
mvn_mcar_20_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 20% |
mvn_mcar_30_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30% |
mvn_mcar_30_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10% |
mvn_mcar_30_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_30_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_30_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_30_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_30_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Simulation) |
mvn_mcar_30_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 10%
(Single Task) |
mvn_mcar_30_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Completely at Random - 30%
(Single Task) |
mvn_mcar_30_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30% |
mvn_mcar_30_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30%
(Simulation) |
mvn_mcar_30_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Completely at Random - 30% |
mvn_mnar_10_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% |
mvn_mnar_10_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% |
mvn_mnar_10_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_10_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10% |
mvn_mnar_10_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_10_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 10% |
mvn_mnar_20_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20% |
mvn_mnar_20_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% |
mvn_mnar_20_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_20_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_20_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_20_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_20_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_20_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_20_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Single Task) |
mvn_mnar_20_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Single Task) |
mvn_mnar_20_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 20%
(Single Task) |
mvn_mnar_20_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20% |
mvn_mnar_20_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20%
(Simulation) |
mvn_mnar_20_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 20% |
mvn_mnar_30_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30% |
mvn_mnar_30_nb.del()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10% |
mvn_mnar_30_nb.del_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_30_nb.del_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_30_nb.del_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_30_nb.del_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_30_nb.del_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Simulation) |
mvn_mnar_30_nb.del_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 10%
(Single Task) |
mvn_mnar_30_nb.fiml_bcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nb.fiml_pcci_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Single Task) |
mvn_mnar_30_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Single Task) |
mvn_mnar_30_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
with Data Missing Not at Random - 30%
(Single Task) |
mvn_mnar_30_nbbc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nbbc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30% |
mvn_mnar_30_nbpc.fiml_simulation()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30%
(Simulation) |
mvn_mnar_30_nbpc.fiml_task()
|
Nonparametric Bootstrap with Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution with Data Missing Not at Random - 30% |
mvn_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
mvn_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
mvn_std_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Standardized Simple Mediation Model
for Data Generated from a Multivariate Normal Distribution
(Single Task) |
mvn_std_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Simulation) |
mvn_std_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Standardized Simple Mediation Model for Data Generated from a Multivariate Normal Distribution
(Single Task) |
nb()
|
Nonparametric Bootstrapping |
nb.del()
|
Nonparametric Bootstrapping (Listwise Deletion) |
nb.fiml()
|
Nonparametric Bootstrapping |
nbbc.fiml()
|
Nonparametric Bootstrap Estimates with FIML of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
nbpc.fiml()
|
Nonparametric Bootstrap Estimates with FIML of Indirect Effect in a Simple Mediation Model for Data Generated from a Multivariate Normal Distribution |
vm_mod_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7) |
vm_mod_std_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_mod_std_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Simulation) |
vm_mod_std_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 2, Kurtosis = 7)
(Single Task) |
vm_sev_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_nb()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21) |
vm_sev_std_nb_bcaci_simulation()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_nb_bcaci_task()
|
Nonparametric Bootstrap Bias-Corrected and Accelerated Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_nb_bcci_simulation()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_nb_bcci_task()
|
Nonparametric Bootstrap Bias-Corrected Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_nb_pcci_simulation()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_nb_pcci_task()
|
Nonparametric Bootstrap Percentile Confidence Intervals for Indirect Effect in a Simple Mediation Model
for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |
vm_sev_std_nb_simulation()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Simulation) |
vm_sev_std_nb_task()
|
Nonparametric Bootstrap Estimates of Indirect Effect in a Simple Mediation Model for Data Generated Using the Vale and Maurelli (1983) Approach (Skewness = 3, Kurtosis = 21)
(Single Task) |