Multilevel Analysis of Repeated Measures Data |
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| Authors: | Van Der Leeden Rien |
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| Institution: | (1) Department of Psychology, Unit of Psychometrics and Research Methodology, Faculty of Social Sciences, Leiden University, P.O. Box 9555, 2300 RB Leiden, The Netherlands Telephone |
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| Abstract: | Hierarchically structured data are common in many areas of scientific research. Such data are characterized by nested membership relations among the units of observation. Multilevel analysis is a class of methods that explicitly takes the hierarchical structure into account. Repeated measures data can be considered as having a hierarchical structure as well: measurements are nested within, for instance, individuals. In this paper, an overview is given of the multilevel analysis approach to repeated measures data. A simple application to growth curves is provided as an illustration. It is argued that multilevel analysis of repeated measures data is a powerful and attractive approach for several reasons, such as flexibility, and the emphasis on individual development. |
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| Keywords: | repeated measures growth curve analysis longitudinal data multilevel analysis hierarchical linear model hierarchical data |
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