Defining R‐squared measures for mixed‐effects location scale models
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DOI: 10.1002/sim.9521
Abstract: Ecological momentary assessment and other modern data collection technologies facilitate research on both within‐subject and between‐subject variability of health outcomes and behaviors. For such intensively measured longitudinal data, Hedeker et al extended the usual two‐level… read more here.
Keywords: mixed effects; defining squared; measures mixed; squared measures ... See more keywords
Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.
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DOI: 10.1037/met0000184
Abstract: Researchers often mention the utility and need for R-squared measures of explained variance for multilevel models (MLMs). Although this topic has been addressed by methodologists, the MLM R-squared literature suffers from several shortcomings: (a) analytic… read more here.
Keywords: framework; explained variance; variance; variance multilevel ... See more keywords
A systematic framework for defining R-squared measures in mediation analysis.
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DOI: 10.1037/met0000571
Abstract: R-squared measures of explained variance are easy to understand, naturally interpretable, and widely used by substantive researchers. In mediation analysis, however, despite recent advances in measures of mediation effect, few effect sizes have good statistical… read more here.
Keywords: effect; mediation analysis; squared measures; framework ... See more keywords