Transcription of Multilevel structural equation modeling - GLLAMM
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Multilevel structural equation modeling - GLLAMM
Multilevel structural equation modeling Sophia Rabe-Hesketh Graduate School of Education & Graduate Group in Biostatistics, University of California, Berkeley & Institute of Education, University of London Anders Skrondal Department of Statistics & Methodology Institute, London School of Economics &. Division of Epidemiology, Norwegian Institute of Public Health, Oslo Xiaohui Zheng Graduate School of Education, University of California, Berkeley Abstract In conventional structural equation models, all latent variables and indicators vary between units (typically subjects) and are assumed to be independent across units. The latter assumption is violated in Multilevel settings where units are nested in clusters, leading to within-cluster de- pendence.
1 Introduction The popularity of multilevel modeling and structural equation modeling (SEM) is a striking feature of quantitative research in the medical, behavioral and so-
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