A General Approach to Categorical Data Analysis with Missing Data, Using Generalized Linear Models with Composite Links.

Rindskopf, David

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ446673

Record Type: Journal

Publication Date: 1992

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

EISSN: N/A

Available Date: N/A

A General Approach to Categorical Data Analysis with Missing Data, Using Generalized Linear Models with Composite Links.

Rindskopf, David

Psychometrika, v57 n1 p29-42 Mar 1992

A general approach is described for the analysis of categorical data when there are missing values on one or more observed variables. The method is based on generalized linear models with composite links. Situations in which the model can be used are described. (SLD)

Descriptors: Algorithms, Classification, Data Analysis, Estimation (Mathematics), Generalization, Mathematical Models

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A