semPower.compromise: sempower.compromise

In semPower: Power Analyses for SEM

Description

Performs a compromise power analysis, i.e. determines the critical chi-square along with the implied alpha and beta, given a specified alpha/beta ratio, effect, N, and df

Usage

semPower.compromise(
  effect = NULL,
  effect.measure = NULL,
  abratio = 1,
  N,
  df,
  p = NULL,
  SigmaHat = NULL,
  Sigma = NULL
)

Arguments

effect	effect size specifying the discrepancy between H0 and H1 (a list for multiple group models)
effect.measure	type of effect, one of "F0","RMSEA", "Mc", "GFI", AGFI"
abratio	the ratio of alpha to beta
N	the number of observations (a list for multiple group models)
df	the model degrees of freedom
p	the number of observed variables, required for effect.measure = "GFI" and "AGFI"
SigmaHat	model implied covariance matrix (a list for multiple group models). Use in conjuntion with Sigma to define effect and effect.measure.
Sigma	population covariance matrix (a list for multiple group models). Use in conjuntion with SigmaHat to define effect and effect.measure.

Value

list

Examples

## Not run: 
cp.ph <- semPower.compromise(effect = .08, effect.measure = "RMSEA", abratio = 1, N = 250, df = 200)
summary(cp.ph)

## End(Not run)

semPower documentation built on Nov. 2, 2021, 1:06 a.m.