Projects per year
Abstract
Increasing pupil mobility has led to widespread concern among parents, educators, and policymakers regarding its negative effects on academic performance. An important issue in examining mobility effects in longitudinal school achievement comparisons is providing accurate estimates. The presence of pupil mobility suggests that we should model pupils as belonging to the series of schools attended and not just their first or final school. We discuss several challenges in accounting for student mobility and, because of the presence of mobile pupils, how to represent the contribution of multiple schools attended on estimating academic growth properly. We then contrast several previous longitudinal multilevel models utilized with two cross-classified multiple membership (CCMM) models, which have been proposed to cumulate annual school effects on pupils’ academic growth better given the complexity of the multilevel data structure. We discuss our results in terms of their theoretical and practical implications for research on school academic improvement.
Original language | English |
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Pages (from-to) | 516-543 |
Number of pages | 28 |
Journal | School Effectiveness and School Improvement |
Volume | 33 |
Issue number | 4 |
Early online date | 17 Apr 2022 |
DOIs | |
Publication status | E-pub ahead of print - 17 Apr 2022 |
Bibliographical note
Publisher Copyright:© 2022 Informa UK Limited, trading as Taylor & Francis Group.
Research Groups and Themes
- SoE Centre for Multilevel Modelling
Keywords
- student mobility
- growth model
- school improvement
- cross-classified model
- multiple membership model
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Dive into the research topics of 'Incorporating Student Mobility in Studying Academic Growth in Math: Comparing Several Alternative Multilevel Formulations'. Together they form a unique fingerprint.Projects
- 1 Finished
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How should we measure school performance and hold schools accountable? A study of competing statistical methods and how they compare to Progress 8
Leckie, G. B. (Principal Investigator), Goldstein, H. (Co-Investigator) & Prior, L. J. (Researcher)
24/09/18 → 30/09/22
Project: Research
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