rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Generalizing the regression model
    sub title: statistics for longitudinal and contextual analysis
  name:
    name part: Wheaton, Blair
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Young, Marisa
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: cau
    date issued: 2021
    copyright date: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxix, 658 pages : illustrations ; 26 cm.
  abstract: 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. The text 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. Students often face the "What do I do now?" question. This book contains liberal advice about what to do in many situations. A recurring theme in the book is to emphasize the importance of using the "right" (better) model rather than simpler models that may often produce misleading results. Many examples start with the simple version, and proceed to show how results change when a more appropriate approach is used. In summary, this text occupies a unique niche, multiple and very popular topics, with an emphasis on the choices, strengths and limits and unique perspectives offered by each technique, relative to others. The book demonstrates the analyses in STATA and SAS.
  table of contents: A review of correlation and regression -- Generalizations of regression 1 : testing and interpreting interactions -- Generalizations of regression 2 : nonlinear regression -- Generalizations of regression 3 : logistic regression -- Generalizations of regression 4 : the generalized linear model -- From equations to models : the process of explanation -- An introduction to structural equation models -- Identification and testing of models -- Variations and extensions of SEM -- An introduction to hierarchical linear models -- The generalized hierarchical linear model -- Growth curve models -- Introduction to regression for panel data -- Variations and extensions of panel regression -- Event history analysis in discrete time -- The continuous time event history model.
  note: Blair Wheaton, Marisa Young.
  note: Includes bibliographical references (pages 641-646) and index.
  subject:
    topic: Regression analysis
  classification: QA278.2 .W84 2021
  classification: 519.5/36
  identifier: 9781506342092
  identifier: 1506342094
  identifier: 9781506342115
  identifier: 9781506342108
  identifier: 9781506342085
  identifier: 2020031284
  record info:
    record content source: DLC
    record creation date: 200725
    record change date: 20210422122656.0
    record identifier: in00004400450