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Last data update: 2014.03.03

R: Plot power of nested model RMSEA

plotRMSEApowernested

R Documentation

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.

Author(s)

Bell Clinton; Pavel Panko (Texas Tech University; pavel.panko@ttu.edu); Sunthud Pornprasertmanit (psunthud@gmail.com)

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.

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)