PL EN


2007 | 16 | 55-66
Article title

Hierarchical Modeling: Properties and Application

Authors
Selected contents from this journal
Title variants
Languages of publication
EN
Abstracts
EN
Empirical analyses of hierarchical data are important in various disciplines, but are most common to the social sciences. Until the 1980's, when the method of multilevel modeling was introduced, researchers dealt with the problem of nested data in a variety of ways, none of which was completely effective or accurate. The method of hierarchical modeling, and softwares such as HLM or MLwiN, provide the most appropriate available tools for dealing with the nested data. This article intends to introduce this strategy, as well as provide an empirical example to illustrate the relative advantages of using it to perform analysis.
Year
Volume
16
Pages
55-66
Physical description
Document type
ARTICLE
Contributors
  • K. Wilk, Yale University (for postal address contact the journal editor)
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
08PLAAAA04508712
YADDA identifier
bwmeta1.element.87f9a6b7-0a93-34f0-8488-a4ce5007bd69
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