Matrix of regression slopes from the simple mediation model.
A(taudot, beta, alpha)
taudot | Numeric.
Slope of path from |
---|---|
beta | Numeric.
Slope of path from |
alpha | Numeric.
Slope of path from |
The simple mediation model is given by $$ y_i = \delta_y + \dot{\tau} x_i + \beta m_i + \varepsilon_{y_{i}} $$
$$ m_i = \delta_m + \alpha x_i + \varepsilon_{m_{i}} $$
The parameters for the mean structure are $$ \boldsymbol{\theta}_{\text{mean structure}} = \left\{ \mu_x, \delta_m, \delta_y \right\} . $$
The parameters for the covariance structure are $$ \boldsymbol{\theta}_{\text{covariance structure}} = \left\{ \dot{\tau}, \beta, \alpha, \sigma_{x}^{2}, \sigma_{\varepsilon_{m}}^{2}, \sigma_{\varepsilon_{y}}^{2} \right\} . $$
Other reticular action model functions:
A.std()
,
Mfrommu()
,
M()
,
S.std()
,
Sfromsigma2()
,
Sigmatheta.std()
,
Sigmathetafromsigma2()
,
Sigmatheta()
,
S()
,
mutheta()
Ivan Jacob Agaloos Pesigan
A( taudot = 0.207648, beta = 0.451039, alpha = 0.338593 )#> x m y #> x 0.000000 0.000000 0 #> m 0.338593 0.000000 0 #> y 0.207648 0.451039 0