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Multilevel Modeling: When and Why

Studies in classification, data analysis, and knowledge organizationPublished 1 January 1998
Joop J. Hox
Citations479
SJR quartileQ4
SJR score0.13
SNIP0.15

TL;DR

This chapter gives a summary of the reasons for using multilevel models, and provides examples why these reasons are indeed valid and recent (simulation) research is reviewed on the robustness and power of the usual estimation procedures with varying sample sizes.

Abstract

Multilevel models have become popular for the analysis of a variety of problems. This chapter gives a summary of the reasons for using multilevel models, and provides examples why these reasons are indeed valid. Next, recent (simulation) research is reviewed on the robustness and power of the usual estimation procedures with varying sample sizes.

Keywords

MathematicsDecision Sciences