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March 21, 2026Multivariate Behavioral Research

Evaluating the Performance of R-Squared Measures in Multilevel Models

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Authors

DIDiego IglesiasMSMiguel A. SorrelRORicardo Olmos

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Overview

Evaluates R-squared measures in multilevel models, highlighting their implications for accuracy in analysis.

Key Points

  • The study aims to assess the performance of various R-squared measures in multilevel models and their accuracy as estimators of population values.
  • Conducted Monte Carlo simulations to analyze R-squared measures.
  • Examined the impact of level-1 and level-2 predictors on estimation accuracy.
  • Investigated the effects of cross-level interactions and random slopes on R-squared performance.
  • Increased level-2 predictors necessitate more clusters for accurate estimates.
  • Higher numbers of level-1 predictors and interactions improve estimation accuracy with more clusters or observations per cluster.

Cite This Study

Iglesias et al. (2026) studied this question.

synapsesocial.com/papers/69be371c6e48c4981c67688chttps://doi.org/10.1080/00273171.2026.2634294
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