Analyzing tabular data : loglinear and logistic models for social researchers

書誌事項

Analyzing tabular data : loglinear and logistic models for social researchers

Nigel Gilbert

(Social research today, 1)

UCL Press, 1993

  • : hard
  • : pbk

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注記

Bibliography: p. 179-182

Includes index

内容説明・目次

内容説明

An accessible text for the social scientist which introduces the basic techniques of quantitative analysis. It assumes very little statistical knowledge and explains the use of widely available computer programs and other recent developments. This book is intended for academics, postgraduates and advanced undergraduates within sociology and related social science disciplines including social policy and social welfare. It should also appeal to geographers, educationalists, political scientists and social historians.

目次

  • Real and imaginary worlds
  • classification and measurement
  • cross-tabulations
  • association and interaction
  • loglinear analysis
  • choosing and fitting models
  • modelling mobility and change
  • high dimension tables
  • effects and odds ratios
  • logistic regression
  • causal analysis
  • models with ordinal variables
  • event history models.

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