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Meta-analysis using multilevel models with an application to the study of class size effects

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Meta-analysis is formulated as a special case of a multilevel (hierarchical data) model in which the highest level is that of the study and the lowest level that of an observation on an individual respondent. Studies can be combined within a single model where the responses occur at different levels of the data hierarchy and efficient estimates are obtained. An example is given from studies of class sizes and achievement in schools, where study data are available at the aggregate level in terms of overall mean values for classes of different sizes, and also at the student level.
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Keywords: Class size research; Meta-analysis; Multilevel modelling

Document Type: Original Article

Affiliations: 1: Institute of Education, London, UK, 2: Imperial College School of Medicine, London, UK

Publication date: 2000-01-01

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