Tag Info

Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].

Overview

Multilevel analysis is a general term referring to statistical methods appropriate for the analysis of data sets comprising several types of unit of analysis. The levels in the multilevel analysis are another name for the different types of unit of analysis. Each level of analysis will correspond to a population, so that multilevel studies will refer to several populations...

-T.A.B. Snijders, Multilevel Analysis, p. 673-677 in M. Lewis-Beck, A.E. Bryman, and T.F. Liao (eds.), The SAGE Encyclopedia of Social Science Research Methods (Volume II). Sage, 2003.

Related tags

• for linear multilevel (mixed) models
• for models with random intercepts
• for generalized linear mixed models (binary, ordinal, count response)
• for R implementations
• for Stata implementation
• for Bayesian models comprising several levels of hierarchy of priors and hyperpriors

Please use these tags to make your question more specific and easier to find.