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findRMSEApower

Find the statistical power based on population RMSEA


Description

Find the proportion of the samples from the sampling distribution of RMSEA in the alternative hypothesis rejected by the cutoff dervied from the sampling distribution of RMSEA in the null hypothesis. This function can be applied for both test of close fit and test of not-close fit (MacCallum, Browne, & Suguwara, 1996)

Usage

findRMSEApower(rmsea0, rmseaA, df, n, alpha = 0.05, group = 1)

Arguments

rmsea0

Null RMSEA

rmseaA

Alternative RMSEA

df

Model degrees of freedom

n

Sample size of a dataset

alpha

Alpha level used in power calculations

group

The number of group that is used to calculate RMSEA.

Details

This function find the proportion of sampling distribution derived from the alternative RMSEA that is in the critical region derived from the sampling distribution of the null RMSEA. If rmseaA is greater than rmsea0, the test of close fit is used and the critical region is in the right hand side of the null sampling distribution. On the other hand, if rmseaA is less than rmsea0, the test of not-close fit is used and the critical region is in the left hand side of the null sampling distribution (MacCallum, Browne, & Suguwara, 1996).

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

References

MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. doi: 10.1037/1082-989X.1.2.130

See Also

  • plotRMSEApower to plot the statistical power based on population RMSEA given the sample size

  • plotRMSEAdist to visualize the RMSEA distributions

  • findRMSEAsamplesize to find the minium sample size for a given statistical power based on population RMSEA

Examples

findRMSEApower(rmsea0 = .05, rmseaA = .08, df = 20, n = 200)

semTools

Useful Tools for Structural Equation Modeling

v0.5-4
GPL (>= 2)
Authors
Terrence D. Jorgensen [aut, cre] (<https://orcid.org/0000-0001-5111-6773>), Sunthud Pornprasertmanit [aut], Alexander M. Schoemann [aut] (<https://orcid.org/0000-0002-8479-8798>), Yves Rosseel [aut] (<https://orcid.org/0000-0002-4129-4477>), Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] (<https://orcid.org/0000-0002-2951-6647>), James Selig [ctb], Aaron Boulton [ctb], Kristopher Preacher [ctb], Donna Coffman [ctb], Mijke Rhemtulla [ctb] (<https://orcid.org/0000-0003-2572-2424>), Alexander Robitzsch [ctb] (<https://orcid.org/0000-0002-8226-3132>), Craig Enders [ctb], Ruben Arslan [ctb] (<https://orcid.org/0000-0002-6670-5658>), Bell Clinton [ctb], Pavel Panko [ctb], Edgar Merkle [ctb] (<https://orcid.org/0000-0001-7158-0653>), Steven Chesnut [ctb], Jarrett Byrnes [ctb], Jason D. Rights [ctb], Ylenio Longo [ctb], Maxwell Mansolf [ctb] (<https://orcid.org/0000-0001-6861-8657>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>), Mikko Rönkkö [ctb] (<https://orcid.org/0000-0001-7988-7609>)
Initial release

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