July 28, 2025

Estimating power in (generalized) linear mixed models: an open introduction and tutorial in R.

View Full Paper

Ask AI

Bookmark

MAIN FINDING: The tutorial presents a method for estimating power in linear mixed models, addressing a gap in existing literature.
KEY EVIDENCE: It emphasizes the importance of power analysis for reliable sample size planning and empirical findings.
APPROACH: The work guides users through simulation-based power analyses in R, providing code and accessible datasets.
SIGNIFICANCE: This tutorial allows researchers to design studies with adequate power, improving the robustness of inferential conclusions.

Discussion

No takes yet. Share an insight, caveat, or question.

Tutorial explains power analysis in linear mixed models, highlighting issues in estimating null hypothesis rejection rates.

Kumle et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark