Power analysis for loglinear growth models

Publication date

2024-12-16

Authors

Moerbeek, M.ISNI 0000000388211488
de Jong, Kim
Bovendeerd, Bram

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Supervisors

Document Type

/dk/atira/pure/researchoutput/researchoutputtypes/nontextual/software
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License

cc_public_domain

Abstract

Multilevel analysis is often used to analyse longitudinal growth data. However, sample size calculations in an a priori power analysis are often based on simpler models. As a result, sample sizes may be inadequate or unnecessarily high. This article shows how to calculate sample sizes for a log-linear growth model using a user-friendly online app. The methodology is illustrated using a psychotherapy trial.

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Citation

Moerbeek, M, de Jong, K & Bovendeerd, B, Power analysis for loglinear growth models, 2024, Software, PsyArXiv. https://doi.org/10.31234/osf.io/r2396