David J. Bartholomew, Fiona Steele, Irini Moustaki

Analysis of Multivariate Social Science Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 384
• Erscheinungstermin: 4. Juni 2008
• Englisch
• ISBN-13: 9781584889618
• Artikelnr.: 42051428

Autorenporträt

David J. Bartholomew, Fiona Steele, Fiona Steele, Irini Moustaki

Inhaltsangabe

Preface. Setting the Scene.Cluster Analysis.Multidimensional
Scaling.Correspondence Analysis.Principal Components Analysis.Regression
Analysis.Factor Analysis.Factor Analysis for Binary Data. Factor Analysis
for Ordered Categorical Variables.Latent Class Analysis for Binary Data.
Confirmatory Factor Analysis and Structural Equation Models.Multilevel
Modeling. References. Index.