Analysis of Qualitative Data
New Developments
- 1 Edición, Volumen 2 - 19 de noviembre de 1979
- Última edición
- Autor: Shelby J. Haberman
- Idioma: Inglés
Analysis of Qualitative Data, Volume 2: New Developments focuses on the variety of models used in the analysis of qualitative data. The book first elaborates on multinomial… Leer más
Descripción
Descripción
Analysis of Qualitative Data, Volume 2: New Developments focuses on the variety of models used in the analysis of qualitative data. The book first elaborates on multinomial response models and incomplete tables. Discussions focus on models for incomplete tables with ordered categories, incomplete two-way tables and migration, multinomial response models for one or more continuous independent variables, and multinomial response models for two-way tables. The book also reviews symmetrical tables and adjustment of data, including the adjustment of marginal totals using unsaturated models, symmetry models for multi-way tables, and distance models. The publication ponders on latent-class models, as well as models with several latent variables, iterative proportional fitting and latent-class models, maximum likelihood equations for the traditional latent-class model, and the scoring algorithm. The manuscript is a vital reference for researchers interested in the models used in the analysis of qualitative data.
Índice
Índice
Multinomial Response Models.
Incomplete Tables.
Symmetrical Tables.
Adjustment of Data.
Latent-Class Models.
Appendix: Computer Programs for Computation of Maximum Likelihood Estimates.
References.
Incomplete Tables.
Symmetrical Tables.
Adjustment of Data.
Latent-Class Models.
Appendix: Computer Programs for Computation of Maximum Likelihood Estimates.
References.
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Volumen: 2
- Publicado: 6 de noviembre de 2025
- Idioma: Inglés
Sobre el autor
Sobre el autor
SH
Shelby J. Haberman
Afiliaciones y experiencia
University of Chicago, Illinois, U.S.A.Ver libro en ScienceDirect
Ver libro en ScienceDirect
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