plotRMSEApowernested: Plot power of nested model RMSEA

In semTools: Useful Tools for Structural Equation Modeling

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 = 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
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.

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

• 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

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)

semTools documentation built on May 10, 2022, 9:05 a.m.