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

513 x 700A volume in the Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences series. A copy of the book may be ordered from CRC Press

• features
• audience
• contents
• downloads
• reviews
• 1st Edition downloads

Authors

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

• Go to full list of contents >>

Sample Chapters

• Sample Chapter: Chapter 3: Multidimensional Scaling (PDF, 1,160kB)
• Sample Chapter: Chapter 8: Factor Analysis for Binary Data (PDF, 1,642kB)

Downloadable materials

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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.

Reviews

• Journal of Statistical Software, February 2009, Volume 29, Book Review 13, by Patrick Mair (Journal of Statistical Software web site: www.jstatsoft.org)