WebPower (version 0.9.4)

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

Description

This function is for calculating SEM effect size.

Usage

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

Value

An object of the power analysis.

delta

Effect size.

df

Degrees of freedom

RMSEA

RMSEA

Arguments

full.model.pop

Full model (under the alternative hypothesis) with population parameters.

reduced.model

Reduced model (under the null hypothesis) lavaan specification.

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)