Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.
Sign Up to like & getrecommendations! Published in 2019 at "Psychological methods"
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
An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions.
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2022.2147049
Abstract: 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.… read more here.
Keywords: missing data; investigation factored; factored regression; multilevel models ... See more keywords
On the Common but Problematic Specification of Conflated Random Slopes in Multilevel Models.
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2023.2174490
Abstract: For multilevel models (MLMs) with fixed slopes, it has been widely recognized that a level-1 variable can have distinct between-cluster and within-cluster fixed effects, and that failing to disaggregate these effects yields a conflated, uninterpretable… read more here.
Keywords: conflation; conflated random; random component; multilevel models ... See more keywords
Re-assessing the Consistency of Sentencing Decisions in Cases of Assault: Allowing for Within-Court Inconsistencies
Sign Up to like & getrecommendations! Published in 2020 at "British Journal of Criminology"
DOI: 10.1093/bjc/azaa030
Abstract: Empirical research has repeatedly focused on the potential existence of sentencing disparities. In particular, a growing number of studies have used multilevel models to quantify the extent that ‘similar’ offences are treated alike in different… read more here.
Keywords: court; within court; assessing consistency; cases assault ... See more keywords
Catching Up on Multilevel Modeling.
Sign Up to like & getrecommendations! Published in 2022 at "Annual review of psychology"
DOI: 10.1146/annurev-psych-020821-103525
Abstract: This review focuses on the use of multilevel models in psychology and other social sciences. We target readers who are catching up on current best practices and sources of controversy in the specification of multilevel… read more here.
Keywords: multilevel modeling; multilevel; catching multilevel; multilevel models ... See more keywords
Meta-Analysis of Single-Case Research via Multilevel Models: Fundamental Concepts and Methodological Considerations
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DOI: 10.1177/0145445518806867
Abstract: Multilevel modeling is an approach that can be used to summarize single-case experimental design (SCED) data. Multilevel models were developed to analyze hierarchical structured data with units at a lower level nested within higher level… read more here.
Keywords: single case; multilevel; meta analysis; multilevel models ... See more keywords
On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations
Sign Up to like & getrecommendations! Published in 2019 at "Organizational Research Methods"
DOI: 10.1177/1094428119877457
Abstract: Entities such as individuals, teams, or organizations can vary systematically from one another. Researchers typically model such data using multilevel models, assuming that the random effects are uncorrelated with the regressors. Violating this testable assumption,… read more here.
Keywords: effects assumption; models review; assumption multilevel; ignoring random ... See more keywords
Effect size measures for multilevel models: definition, interpretation, and TIMSS example
Sign Up to like & getrecommendations! Published in 2018 at "Large-scale Assessments in Education"
DOI: 10.1186/s40536-018-0061-2
Abstract: Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate… read more here.
Keywords: interpretation; size measures; effect size; effect ... See more keywords