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ERIC Number: EJ950168
Record Type: Journal
Publication Date: 2011
Pages: 10
Abstractor: As Provided
Reference Count: 19
ISSN: ISSN-1380-3611
Logit Models for the Analysis of Two-Way Categorical Data
Draxler, Clemens
Educational Research and Evaluation, v17 n5 p351-360 2011
This article discusses the application of logit models for the analyses of 2-way categorical observations. The models described are generalized linear models using the logit link function. One of the models is the Rasch model (Rasch, 1960). The objective is to test hypotheses of marginal and conditional independence between explanatory quantities and multiple binary responses. By means of a numerical example, the relevance of such hypotheses for educational research is demonstrated. The aim is, in particular, to extend the applicability of the Rasch model to test hypotheses of conditional independence. (Contains 4 tables.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A