semPower (version 1.2.0)

semPower.compromise: sempower.compromise

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
)

Value

list

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.

Examples

if (FALSE) {
cp.ph <- semPower.compromise(effect = .08, effect.measure = "RMSEA", abratio = 1, N = 250, df = 200)
summary(cp.ph)
}