semTools (version 0.5-7)

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 = 0.05, group = 1)

Arguments

rmsea0A

The \(H_0\) baseline RMSEA

rmsea0B

The \(H_0\) alternative RMSEA (trivial misfit)

rmsea1A

The \(H_1\) baseline RMSEA

rmsea1B

The \(H_1\) 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

Author

Bell Clinton

Pavel Panko (Texas Tech University; )

Sunthud Pornprasertmanit ()

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(1), 19--35. tools:::Rd_expr_doi("10.1037/1082-989X.11.1.19")

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)