Handbook of Statistical Modeling for the Social and Behavioral Sciences

. Ed(s): Arminger, G.; Clogg, Clifford C.; Sobel, M.E.

ISBN 10: 030644805X / ISBN 13: 9780306448058

Editore: Kluwer Academic Publishers Group, 1994

Riguardo questo articolo

Surveys important statistical models used in empirical research in the social and behavioral sciences. This work introduces a model, shows the types of problems and data for which the model is best used, gives examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. Editor(s): Arminger, G.; Clogg, Clifford C.; Sobel, M.E. Num Pages: 592 pages, biography. BIC Classification: JM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 254 x 178 x 38. Weight in Grams: 3060. . 1994. Hardback. . . . . Books ship from the US and Ireland.

Codice articolo V9780306448058

Dati bibliografici

• Titolo: Handbook of Statistical Modeling for the Social and Behavioral Sciences
• Editore: Kluwer Academic Publishers Group
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 030644805X
• ISBN 13: 9780306448058
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Contenuti

Casual Inference in the Social and Behavioral Sciences. Missing Data. Specification and Estimation of Mean Structures. The Analysis of Contingency Tables. Latent Class Models. Panel Analysis for Metric Data. Panel Analysis for Qualitative Variables. Analysis of Event Histories. Random Coefficient Models. Index.