The Analysis and Interpretation of Multivariate Data for Social Scientists (2nd ed)

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Left to right in photo: Jane Galbraith - University College London, David J. Bartholomew - London School of Economics and Political Science, Fiona Steele - University of Bristol, Irini Moustaki - London School of Economics and Political Science, Athens University of Economics and Business

Contents

Sample Chapters

Downloadable materials

Features

  • Contains three new chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models
  • Presents numerous examples of real-world applications, including voting preferences, social attitudes, educational test scores, and recidivism
  • Covers methods that summarize, describe, and explore multivariate data sets
  • Establishes a unified approach to latent variable modeling by providing detailed coverage of the methods, such as item response theory and factor analysis
  • Offers full versions of all the data sets in the text, software for performing latent variable analyses, and instructions for implementing the analyses

Audience

  • graduate students
  • advanced undergraduate students
  • researchers
  • practitioners of statistics and the social sciences.

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