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The British Journal of Mathematical and Statistical Psychology|July 8, 2011
The impact of ignoring multiple membership data structures in multilevel modelsHyewon Chung, S Natasha BeretvasResearch Synthesis Methods|October 1, 2022
Missingness mechanism messiness in meta-analysis: A response to "The importance of plausible data-generating mechanisms in simulation studies"Jihyun Lee, S Natasha BeretvasResearch Synthesis Methods|July 7, 2022
Comparing methods for handling missing covariates in meta-regressionJihyun Lee, S Natasha BeretvasJournal of Applied Measurement|June 9, 2005
The multilevel measurement model: introduction to the special issueS Natasha Beretvas, Akihito KamataBehavior Research Methods|December 19, 2019
The multivariate multiple-membership random-effect model: An introduction and evaluationSunyoung Park, S Natasha BeretvasBehavior Research Methods|November 9, 2018
Synthesizing effects for multiple outcomes per study using robust variance estimation versus the three-level modelSunyoung Park, S Natasha BeretvasJournal of Applied Measurement|July 31, 2002
Moving the cut score on Rasch scored testsG Edward Miller, S Natasha BeretvasMultivariate Behavioral Research|January 14, 2016
Incorporating Student Mobility in Achievement Growth Modeling: A Cross-Classified Multiple Membership Growth Curve ModelMatthew W Grady, S Natasha BeretvasPsychological Methods|July 7, 2005
Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing dataCarolyn F Furlow, S Natasha BeretvasResearch Synthesis Methods|March 30, 2026
Meta-analytic pooling of intraclass correlation coefficient estimatesBethany H Bhat, S Natasha BeretvasPageof 25