semTools (version 0.4-14)

plotRMSEApowernested: Plot power of nested model RMSEA

Description

Plot power of nested model RMSEA over a range of possible sample sizes.

Usage

plotRMSEApowernested(rmsea0A = NULL, rmsea0B = NULL, rmsea1A, rmsea1B = NULL, 
dfA, dfB, nlow, nhigh, steps=1, 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.

nlow

Lower bound of sample size.

nhigh

Upper bound of sample size.

steps

Step size.

alpha

The alpha level.

group

The number of group in calculating RMSEA.

…

The additional arguments for the plot function.

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

• findRMSEApowernested to find the power for a given sample size in nested model comparison based on population RMSEA

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

Examples

# NOT RUN {
plotRMSEApowernested(rmsea0A = 0, rmsea0B = 0, rmsea1A = 0.06, rmsea1B = 0.05, 
dfA=22, dfB=20, nlow=50, nhigh=500, steps=1, alpha=.05, group=1)  
# }