powRICLPM: Perform Power Analysis for the Random Intercept Cross-Lagged Panel Model

Research output: Non-textual formSoftwareAcademic

Abstract

Perform user-friendly power analyses for the bivariate random intercept cross-lagged panel model (RI-CLPM). The strategy as proposed by Mulder (2022) is implemented. Extended power analysis options include the use of bounded estimation, inclusion of measurement error in the data generating model and estimation model (i.e., the stable trait autoregressive trait state, STARTS, model), imposing various constraints over time on the parameters of the estimation model, among others.
Original languageEnglish
Media of outputOnline
Publication statusPublished - 7 Oct 2022

Fingerprint

Dive into the research topics of 'powRICLPM: Perform Power Analysis for the Random Intercept Cross-Lagged Panel Model'. Together they form a unique fingerprint.

Cite this