Fit Standardized Simple Mediation Model for Data with Beta X - Structural Equation Modeling

Fit Standardized Simple Mediation Model for Data with Beta X - Structural Equation Modeling

beta_std_fit.sem.mlr(data, taskid)

Arguments

data	n by 3 matrix or data frame. data[, 1] correspond to values for x. data[, 2] correspond to values for m. data[, 3] correspond to values for y.
taskid	Numeric. Task ID.

See also

Other model fit functions: beta_fit.ols_simulation_summary(), beta_fit.ols_simulation(), beta_fit.ols_task_summary(), beta_fit.ols_task(), beta_fit.ols(), beta_fit.sem.mlr_simulation_summary(), beta_fit.sem.mlr_simulation(), beta_fit.sem.mlr_task_summary(), beta_fit.sem.mlr_task(), beta_fit.sem.mlr(), beta_std_fit.sem.mlr_simulation_summary(), beta_std_fit.sem.mlr_simulation(), beta_std_fit.sem.mlr_task_summary(), beta_std_fit.sem.mlr_task(), exp_fit.ols_simulation_summary(), exp_fit.ols_simulation(), exp_fit.ols_task_summary(), exp_fit.ols_task(), exp_fit.ols(), exp_fit.sem.mlr_simulation_summary(), exp_fit.sem.mlr_simulation(), exp_fit.sem.mlr_task_summary(), exp_fit.sem.mlr_task(), exp_fit.sem.mlr(), exp_std_fit.sem.mlr_simulation_summary(), exp_std_fit.sem.mlr_simulation(), exp_std_fit.sem.mlr_task_summary(), exp_std_fit.sem.mlr_task(), exp_std_fit.sem.mlr(), fit.cov(), fit.ols(), fit.sem.mlr(), fit.sem(), mvn_fit.ols_simulation_summary(), mvn_fit.ols_simulation(), mvn_fit.ols_task_summary(), mvn_fit.ols_task(), mvn_fit.ols(), mvn_fit.sem_simulation_summary(), mvn_fit.sem_simulation(), mvn_fit.sem_task_summary(), mvn_fit.sem_task(), mvn_fit.sem(), mvn_mar_10_fit.sem_simulation_summary(), mvn_mar_10_fit.sem_simulation(), mvn_mar_10_fit.sem_task_summary(), mvn_mar_10_fit.sem_task(), mvn_mar_10_fit.sem(), mvn_mar_20_fit.sem_simulation_summary(), mvn_mar_20_fit.sem_simulation(), mvn_mar_20_fit.sem_task_summary(), mvn_mar_20_fit.sem_task(), mvn_mar_20_fit.sem(), mvn_mar_30_fit.sem_simulation_summary(), mvn_mar_30_fit.sem_simulation(), mvn_mar_30_fit.sem_task_summary(), mvn_mar_30_fit.sem_task(), mvn_mar_30_fit.sem(), mvn_mcar_10_fit.sem_simulation_summary(), mvn_mcar_10_fit.sem_simulation(), mvn_mcar_10_fit.sem_task_summary(), mvn_mcar_10_fit.sem_task(), mvn_mcar_10_fit.sem(), mvn_mcar_20_fit.sem_simulation_summary(), mvn_mcar_20_fit.sem_simulation(), mvn_mcar_20_fit.sem_task_summary(), mvn_mcar_20_fit.sem_task(), mvn_mcar_20_fit.sem(), mvn_mcar_30_fit.sem_simulation_summary(), mvn_mcar_30_fit.sem_simulation(), mvn_mcar_30_fit.sem_task_summary(), mvn_mcar_30_fit.sem_task(), mvn_mcar_30_fit.sem(), mvn_mnar_10_fit.sem_simulation_summary(), mvn_mnar_10_fit.sem_simulation(), mvn_mnar_10_fit.sem_task_summary(), mvn_mnar_10_fit.sem_task(), mvn_mnar_10_fit.sem(), mvn_mnar_20_fit.sem_simulation_summary(), mvn_mnar_20_fit.sem_simulation(), mvn_mnar_20_fit.sem_task_summary(), mvn_mnar_20_fit.sem_task(), mvn_mnar_20_fit.sem(), mvn_mnar_30_fit.sem_simulation_summary(), mvn_mnar_30_fit.sem_simulation(), mvn_mnar_30_fit.sem_task_summary(), mvn_mnar_30_fit.sem_task(), mvn_mnar_30_fit.sem(), mvn_std_fit.sem_simulation_summary(), mvn_std_fit.sem_simulation(), mvn_std_fit.sem_task_summary(), mvn_std_fit.sem_task(), mvn_std_fit.sem(), vm_mod_fit.ols_simulation_summary(), vm_mod_fit.ols_simulation(), vm_mod_fit.ols_task_summary(), vm_mod_fit.ols_task(), vm_mod_fit.ols(), vm_mod_fit.sem.mlr_simulation_summary(), vm_mod_fit.sem.mlr_simulation(), vm_mod_fit.sem.mlr_task_summary(), vm_mod_fit.sem.mlr_task(), vm_mod_fit.sem.mlr(), vm_mod_std_fit.sem.mlr_simulation_summary(), vm_mod_std_fit.sem.mlr_simulation(), vm_mod_std_fit.sem.mlr_task_summary(), vm_mod_std_fit.sem.mlr_task(), vm_mod_std_fit.sem.mlr(), vm_sev_fit.ols_simulation_summary(), vm_sev_fit.ols_simulation(), vm_sev_fit.ols_task_summary(), vm_sev_fit.ols_task(), vm_sev_fit.ols(), vm_sev_fit.sem.mlr_simulation_summary(), vm_sev_fit.sem.mlr_simulation(), vm_sev_fit.sem.mlr_task_summary(), vm_sev_fit.sem.mlr_task(), vm_sev_fit.sem.mlr(), vm_sev_std_fit.sem.mlr_simulation_summary(), vm_sev_std_fit.sem.mlr_simulation(), vm_sev_std_fit.sem.mlr_task_summary(), vm_sev_std_fit.sem.mlr_task(), vm_sev_std_fit.sem.mlr()

Author

Ivan Jacob Agaloos Pesigan

Examples

taskid <- 1
data <- beta_dat(taskid = taskid)
beta_std_fit.sem.mlr(data = data, taskid = taskid)
#>                          taskid                               n 
#>                    1.000000e+00                    1.000000e+03 
#>                            reps                          taudot 
#>                    5.000000e+03                    1.414214e-01 
#>                            beta                           alpha 
#>                    7.140742e-01                    7.140742e-01 
#>                       alphabeta                         sigma2x 
#>                    5.099020e-01                    6.250000e-02 
#>                  sigma2epsilonm                  sigma2epsilony 
#>                    3.063113e-02                    2.036725e-02 
#>                             mux                          deltam 
#>                    5.000000e-01                    1.429629e-01 
#>                          deltay                      lambdaxhat 
#>                    7.225223e-02                    2.524319e-01 
#>                      lambdamhat                      lambdayhat 
#>                    2.390725e-01                    2.498742e-01 
#>                  taudothatprime                    betahatprime 
#>                    1.444547e-01                    7.272155e-01 
#>                   alphahatprime      sigma2hatepsilonylatenthat 
#>                    7.161210e-01                    2.998339e-01 
#>      sigma2hatepsilonmlatenthat       alphahatprimebetahatprime 
#>                    4.871707e-01                    5.207743e-01 
#>                 sehatlambdaxhat                 sehatlambdamhat 
#>                    3.925874e-03                    4.950983e-03 
#>                 sehatlambdayhat             sehattaudothatprime 
#>                    5.274489e-03                    2.452758e-02 
#>               sehatbetahatprime              sehatalphahatprime 
#>                    2.142657e-02                    1.416619e-02 
#> sehatsigma2hatepsilonylatenthat sehatsigma2hatepsilonmlatenthat 
#>                    1.512818e-02                    2.028941e-02 
beta_fit.ols(data = data, taskid = taskid)
#>                    taskid                         n                      reps 
#>              1.000000e+00              1.000000e+03              5.000000e+03 
#>                    taudot                      beta                     alpha 
#>              1.414214e-01              7.140742e-01              7.140742e-01 
#>                 alphabeta                   sigma2x            sigma2epsilonm 
#>              5.099020e-01              6.250000e-02              3.063113e-02 
#>            sigma2epsilony                       mux                    deltam 
#>              2.036725e-02              5.000000e-01              1.429629e-01 
#>                    deltay                 deltayhat                 taudothat 
#>              7.225223e-02              4.920174e-02              1.429910e-01 
#>                   betahat                 deltamhat                  alphahat 
#>              7.600724e-01              1.647980e-01              6.782219e-01 
#>           alphahatbetahat            taudothatprime              betahatprime 
#>              5.154978e-01              1.444547e-01              7.272155e-01 
#>             alphahatprime alphahatprimebetahatprime                sigma2xhat 
#>              7.161210e-01              5.207743e-01              6.372186e-02 
#>      sigma2hatepsilonmhat      sigma2hatepsilonyhat                    muxhat 
#>              2.787246e-02              1.875832e-02              4.887770e-01 
#>            sehatdeltayhat            sehattaudothat              sehatbetahat 
#>              1.036682e-02              2.459401e-02              2.596833e-02 
#>            sehatdeltamhat             sehatalphahat     sehattaudothatprimetb 
#>              1.150978e-02              2.092477e-02              2.484576e-02 
#>       sehatbetahatprimetb      sehatalphahatprimetb  sehattaudothatprimedelta 
#>              2.484576e-02              2.209405e-02              2.481534e-02 
#>    sehatbetahatprimedelta   sehatalphahatprimedelta 
#>              2.152179e-02              1.541341e-02