Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.

Volume: 24, Issue: 3, Pages: 309 - 338
Published: Jun 1, 2019
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 relationships among existing measures have not been established so measures equivalent in the population have been redeveloped 2 or 3 times; (b) a completely full partitioning of variance has...
Paper Details
Title
Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.
Published Date
Jun 1, 2019
Volume
24
Issue
3
Pages
309 - 338
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