Below you can find a list of frequently asked questions, organized by topic, that reach us via email. Click the question to see our response.

How do I run a power analysis for an RI-CLPM with **multiple
indicators**?

How do I run a power analysis for a **multiple group**
RI-CLPM?

Can I run a power analysis for a **tri- or
more-variate** RI-CLPM?

How can I do posthoc power analysis using `powRICLPM`

?

Jak, Suzanne, Terrence D. Jorgensen, Mathilde G. E. Verdam, Frans J.
Oort, and Louise Elffers. 2020. “Analytical
power calculations for structural equation modeling: A tutorial and
Shiny app.” *Behavior Research Methods* 53 (4):
1385–1406. https://doi.org/10.3758/s13428-020-01479-0.

Jorgensen, Terrence D., Sunthud Pornprasertmanit, Alexander M. Schoeman,
and Yves Rosseel. 2021. “semTools: Useful
tools for structural equation modeling.” https://cran.r-project.org/package=semTools.

MacCallum, Robert C., Michael W. Browne, and Hazuki M. Sugawara. 1996.
“Power analysis and determination of sample
size for covariance structure modeling.” *Psychological
Methods* 1 (2): 130–49. https://doi.org/10.1037/1082-989X.1.2.130.

Mulder, Jeroen D. 2023. “Power Analysis for the Random Intercept
Cross-Lagged Panel Model Using the powRICLPM r-Package.”
*Structural Equation Modeling: A Multidisciplinary Journal* 30
(4): 645–58. https://doi.org/10.1080/10705511.2022.2122467.

Mulder, Jeroen D., and Ellen L. Hamaker. 2021. “Three extensions of the random intercept cross-lagged
panel model.” *Structural Equation Modeling: A
Multidisciplinary Journal* 28 (4): 638–48. https://doi.org/10.1080/10705511.2020.1784738.

Oertzen, Timo, Christopher Hertzog, Ulman Lindenberger, and Paolo
Ghisletta. 2010. “The effect of multiple
indicators on the power to detect inter-individual differences in
change.” *British Journal of Mathematical and
Statistical Psychology* 63 (3): 627–46. https://doi.org/10.1348/000711010X486633.

Satorra, A., and W. E. Saris. 1985. “Power of
the likelihood ratio test in covariance structure
analysis.” *Psychometrika* 50 (1): 83–90.