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

Harvey Goldstein, Min Yang, Rumana Omar, Rebecca Turner and Simon Thompson

Journal of the Royal Statistical Society Series C, 2000, vol. 49, issue 3, 399-412

Abstract: 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.

Date: 2000
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