semTools (version 0.4-12)

findRMSEApowernested: Find power given a sample size in nested model comparison

Description

Find the sample size that the power in rejection the samples from the alternative pair of RMSEA is just over the specified power.

Usage

findRMSEApowernested(rmsea0A = NULL, rmsea0B = NULL, 
	rmsea1A, rmsea1B = NULL, dfA, dfB, n, alpha=.05, 
	group=1)

Arguments

rmsea0A

The H0 baseline RMSEA.

rmsea0B

The H0 alternative RMSEA (trivial misfit).

rmsea1A

The H1 baseline RMSEA.

rmsea1B

The H1 alternative RMSEA (target misfit to be rejected).

dfA

degree of freedom of the more-restricted model.

dfB

degree of freedom of the less-restricted model.

n

Sample size.

alpha

The alpha level.

group

The number of group in calculating RMSEA.

References

MacCallum, R. C., Browne, M. W., & Cai, L. (2006). Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychological Methods, 11, 19-35.

See Also

• plotRMSEApowernested to plot the statistical power for nested model comparison based on population RMSEA given the sample size
• findRMSEAsamplesizenested to find the minium sample size for a given statistical power in nested model comparison based on population RMSEA

Examples

findRMSEApowernested(rmsea0A = 0.06, rmsea0B = 0.05, rmsea1A = 0.08, 
rmsea1B = 0.05, dfA = 22, dfB = 20, n = 200, alpha = 0.05, group = 1)