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May 20, 2026Psychological Methods0 citations

Bias Adjustments for R-Squared in Multilevel Models

Extending bias adjustments for R-squared to multilevel models.

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Authors

YGYingchi GuoJRJason D. Rights

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Overview

Randomized trial evaluates bias correction in R-squared measures for multilevel models, suggesting improvements to analysis accuracy.

Key Points

  • The aim is to extend bias adjustments for R-squared specifically in multilevel models to reduce analytical and empirical upward bias.
  • Developed bias adjustment techniques for multilevel R-squared measures.
  • Evaluated the effectiveness of adjustments through simulation and empirical analysis.
  • Utilized software for computation of adjusted R-squared measures.
  • Adjusted R-squared measures demonstrated significantly less bias compared to unadjusted versions.
  • Differential impacts of various factors were identified affecting adjustments across different measures.

Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5089f03e14405aa9c59bhttps://doi.org/10.1037/met0000813
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