ERIC Number: EJ1185757
Record Type: Journal
Publication Date: 2018
Pages: 11
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2196-0739
EISSN: N/A
Available Date: N/A
Effect Size Measures for Multilevel Models: Definition, Interpretation, and TIMSS Example
Large-scale Assessments in Education, v6 Article 8 2018
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 effect size measures including the ICC for random effects and standardized regression coefficients or f[superscript 2] for fixed effects. Following this, complexities associated with reporting R[superscript 2] as an effect size measure are explored, as well as appropriate effect size measures for more complex models including the three-level model and the random slopes model. An example using TIMSS data is provided.
Descriptors: Effect Size, Hierarchical Linear Modeling, Definitions, Regression (Statistics), Achievement Tests, Elementary Secondary Education, Mathematics Achievement, Foreign Countries, International Assessment, Mathematics Tests, Science Achievement, Science Tests
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Trends in International Mathematics and Science Study
Grant or Contract Numbers: N/A
Author Affiliations: N/A