Multilevel Analysis: Techniques and Applications

By Timothy J. Robinson. 2002

4,651 citations recorded by the source corpus.

Subfields: Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/56b49befd11894625f22ecf3e4b6b09cb1e6819c

How researchers see this paper

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

In Genetics

1. M. Kunter
2. Ulrich Trautwein
3. Peter Van Petegem
4. J. Baumert
5. Jelle Boeve-de Pauw
6. O. Lüdtke
7. Swantje Dettmers

In Statistics and Probability

1. M. Kunter
2. J. Baumert
3. Ulrich Trautwein
4. Peter Van Petegem
5. Jelle Boeve-de Pauw
6. O. Lüdtke
7. Swantje Dettmers

Citations in the corpus

• General Growth Mixture Analysis with Antecedents and Consequences of Change (2010, neutral): “…using a multilevel modeling framework where intraindividual change is described as a function of time and interindividual differences are described by random effects and coefficients (Multilevel Linear Models - MLM or Hierarchical Linear Models - HLM; Raudenbush & Bryk, 2002; Hox, 2000, 2002).”