sem.effect.size: Calculate the Effect Size for SEM

In WebPower: Basic and Advanced Statistical Power Analysis

Calculate the Effect Size for SEM

Description

This function is for calculating SEM effect size.

Usage

sem.effect.size(full.model.pop, reduced.model)

Arguments

full.model.pop	Full model (under the alternative hypothesis) with population parameters.
reduced.model	Reduced model (under the null hypothesis) lavaan specification.

Value

An object of the power analysis.

delta	Effect size.
df	Degrees of freedom
RMSEA	RMSEA

References

Demidenko, E. (2007). Sample size determination for logistic regression revisited. Statistics in medicine, 26(18), 3385-3397.

Zhang, Z., & Yuan, K.-H. (2018). Practical Statistical Power Analysis Using Webpower and R (Eds). Granger, IN: ISDSA Press.

Examples

full.model.pop <-'
y1 ~ 0.4*x
y2 ~ 0.5*x + 0.2*y1
y3 ~ 0.4*x
y4 ~ 0.4*y1 + 0.4*y2 + 0.4*y3
y1 ~~ 0.84*y1
y2 ~~ 0.61*y2
y3 ~~ 0.84*y3
y4 ~~ 0.27*y4
'

reduced.model <-'
y1 ~ x
y2 ~ x 
y3 ~ x
y4 ~ y1 + y3
'

sem.effect.size(full.model.pop, reduced.model)

WebPower documentation built on Oct. 14, 2023, 1:06 a.m.