Chapter

Doing Data Analysis with the Multilevel Model for Change

Judith D. Singer and John B. Willett

in Applied Longitudinal Data Analysis

Published in print May 2003 | ISBN: 9780195152968
Published online September 2009 | e-ISBN: 9780199864980 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195152968.003.0004
Doing Data Analysis with the Multilevel Model for Change

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This chapter delves deeper into the specification, estimation, and interpretation of the multilevel model for change. Following introduction of a new data set, it presents a composite formulation of the model that combines the level-1 and level-2 submodels together into a single equation. The new composite model leads naturally to consideration of alternative methods of estimation. The chapter not only describes two new methods—generalized least squares (GLS) and iterative generalized least squares (IGLS) within each, it distinguishes further between two types of approaches, the full and the restricted. The remainder of the chapter focuses on real-world issues of data analysis.

Keywords: change; multilevel mode; alcohol use; estimation; Wald statistics; fixed effects; least squares method; IGLS

Chapter.  22013 words.  Illustrated.

Subjects: Public Health and Epidemiology

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