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      Generalizing the Regression Model: Techniques for Longitudinal and Contextual Analysis

      4 in stock

      Firm sale: non returnable item
      SKU 9781506342092 Categories ,
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      This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing ho...

      £143.00

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      Description

      Product ID:9781506342092
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Generalizing the Regression Model
      Subtitle:Techniques for Longitudinal and Contextual Analysis
      Authors:Author: Blair Wheaton, Marisa Young
      Page Count:688
      Subjects:Social research and statistics, Social research & statistics
      Description:Select Guide Rating

      This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS.


      This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application.


      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2021-03-02

      Additional information

      Weight1466 g
      Dimensions204 × 255 × 30 mm