R: Find power given a sample size in nested model comparison

findRMSEApowernested {semTools} | R Documentation

## 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=.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.
`n` | Sample size.
`alpha` | The alpha level.
`group` | The number of group in calculating RMSEA.

### 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

- `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)

[Package semTools version 0.4-14 Index]