findRMSEAsamplesizenested {semTools}

Find sample size given a power 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

findRMSEAsamplesizenested(rmsea0A = NULL, rmsea0B = NULL, rmsea1A,
  rmsea1B = NULL, dfA, dfB, power = 0.8, 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.

power

The desired statistical power.

alpha

The alpha level.

group

The number of group in calculating RMSEA.

Author(s)

Bell Clinton

Pavel Panko (Texas Tech University; [e-mail])

Sunthud Pornprasertmanit ([e-mail])

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. 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

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

Examples

findRMSEAsamplesizenested(rmsea0A = 0, rmsea0B = 0, rmsea1A = 0.06,
                          rmsea1B = 0.05, dfA = 22, dfB = 20, power = 0.80,
                          alpha = .05, group = 1)