R: Plot power of nested model RMSEA

plotRMSEApowernested {semTools} | 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.

### 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)

[Package semTools version 0.4-14 Index]