| data_med_mod_b {manymome} | R Documentation | 
Sample Dataset: Simple Mediation with b-Path Moderated
Description
A simple mediation model with b-path moderated.
Usage
data_med_mod_b
Format
A data frame with 100 rows and 6 variables:
- x
- Predictor. Numeric. 
- w
- Moderator. Numeric. 
- m
- Mediator. Numeric. 
- y
- Outcome variable. Numeric. 
- c1
- Control variable. Numeric. 
- c2
- Control variable. Numeric. 
Examples
library(lavaan)
data(data_med_mod_b)
data_med_mod_b$mw <-
 data_med_mod_b$m *
 data_med_mod_b$w
mod <-
"
m ~ a * x + w + c1 + c2
y ~ b * m + x + d * mw + c1 + c2
w ~~ v_w * w
w ~ m_w * 1
ab := a * b
ab_lo := a * (b + d * (m_w - sqrt(v_w)))
ab_hi := a * (b + d * (m_w + sqrt(v_w)))
"
fit <- sem(mod, data_med_mod_b,
           meanstructure = TRUE, fixed.x = FALSE)
parameterEstimates(fit)[c(1, 5, 7, 10, 11, 30:32), ]
[Package manymome version 0.2.2 Index]