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S Natasha Beretvas

Showing results (1-10 of 49) with videos related to

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Research 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 Beretvas
Research Synthesis Methods|July 7, 2022
Comparing methods for handling missing covariates in meta-regressionJihyun Lee, S Natasha Beretvas
Journal of Applied Measurement|June 9, 2005
The multilevel measurement model: introduction to the special issueS Natasha Beretvas, Akihito Kamata
Multivariate Behavioral Research|January 6, 2018
Estimation of the Multivariate Multiple-Membership Random Effects Model With and Without Missing DataSunyoung Park, S Natasha Beretvas
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 Beretvas
Multivariate Behavioral Research|December 7, 2019
Comparing Methods for Handling Missing Moderators in Meta-Analysis: A Robustness StudyJihyun Lee, S Natasha Beretvas
Behavior Research Methods|December 19, 2019
The multivariate multiple-membership random-effect model: An introduction and evaluationSunyoung Park, S Natasha Beretvas
Behavior Research Methods|November 9, 2018
Synthesizing effects for multiple outcomes per study using robust variance estimation versus the three-level modelSunyoung Park, S Natasha Beretvas
Journal of Applied Measurement|July 31, 2002
Moving the cut score on Rasch scored testsG Edward Miller, S Natasha Beretvas
Multivariate Behavioral Research|January 14, 2016
Incorporating Student Mobility in Achievement Growth Modeling: A Cross-Classified Multiple Membership Growth Curve ModelMatthew W Grady, S Natasha Beretvas
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Research 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 Beretvas
Research Synthesis Methods|July 7, 2022
Comparing methods for handling missing covariates in meta-regressionJihyun Lee, S Natasha Beretvas
Journal of Applied Measurement|June 9, 2005
The multilevel measurement model: introduction to the special issueS Natasha Beretvas, Akihito Kamata
Multivariate Behavioral Research|January 6, 2018
Estimation of the Multivariate Multiple-Membership Random Effects Model With and Without Missing DataSunyoung Park, S Natasha Beretvas
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 Beretvas
Multivariate Behavioral Research|December 7, 2019
Comparing Methods for Handling Missing Moderators in Meta-Analysis: A Robustness StudyJihyun Lee, S Natasha Beretvas
Behavior Research Methods|December 19, 2019
The multivariate multiple-membership random-effect model: An introduction and evaluationSunyoung Park, S Natasha Beretvas
Behavior Research Methods|November 9, 2018
Synthesizing effects for multiple outcomes per study using robust variance estimation versus the three-level modelSunyoung Park, S Natasha Beretvas
Journal of Applied Measurement|July 31, 2002
Moving the cut score on Rasch scored testsG Edward Miller, S Natasha Beretvas
Multivariate Behavioral Research|January 14, 2016
Incorporating Student Mobility in Achievement Growth Modeling: A Cross-Classified Multiple Membership Growth Curve ModelMatthew W Grady, S Natasha Beretvas
Pageof 5