The Multilevel Approach to Repeated Measures for Complete and Incomplete Data

By Cora J. M. Maas, Tom A. B. Snijders. 2003

120 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9aca56316eaa34183e8c7c5d74211968ddfa95c9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. C. Zarafonitou
2. Lesa Hoffman
3. Michael J. Rovine
4. A. Tseloni
5. R. Stawski

Citations in the corpus

• Multilevel models for the experimental psychologist: Foundations and illustrative examples (2007, methodology): “Multilevel models—or general linear mixed models, as they are often referred to in this context—can be used as alternatives to ANOVA when the assumption of sphericity is likely to be violated (e.g., Littell, Pendergast, & Natarajan, 2000; Maas & Snijders, 2003; Wallace & Green, 2002), because they”
• Fear of Crime and Victimization (2008, methodology): “It produces more efficient estimates than single equation estimation and more powerful statistical tests of the estimated (fixed and random) parameters (Maas and Snijders 2003; Snijders and Bosker 1999).”