Analysis of Multivariate Social Science Data

Enabling a basic understanding of how to use key multivariate methods in the social sciences, this updated edition contains three new chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents many 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; and establishes a unified approach to latent variable modeling. Full versions of all the data sets in the text, software for performing latent variable analyses, and instructions for implementing the analyses are available on the book's website.