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Craig K. Enders2
Brian T. Keller1
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An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions
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Brian T. Keller; Craig K. Enders – Grantee Submission, 2023
A growing body of literature has focused on missing data methods that factorize the joint distribution into a part representing the analysis model of interest and a part representing the distributions of the incomplete predictors. Relatively little is known about the utility of this method for multilevel models with interactive effects. This study…
Descriptors: Data Analysis, Hierarchical Linear Modeling, Monte Carlo Methods, Bias
Missing Data: An Update on the State of the Art
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Craig K. Enders – Grantee Submission, 2023
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…
Descriptors: Data, Research, Theories, Regression (Statistics)