Analysis of multivariate social science data / David J. Bartholomew [and others].

Format:

Book

Contributor:

Bartholomew, David J.

CRC Press.

Series:

Statistics in the social and behavioral sciences series

Chapman & Hall/CRC statistics in the social and behavioral sciences series

Language:

English

Subjects (All):

Social sciences--Statistical methods.

Social sciences.

Multivariate analysis.

Physical Description:

1 online resource (xi, 371 pages) : illustrations.

Edition:

Second edition.

Place of Publication:

Boca Raton : CRC Press, [2008]

System Details:

text file

Summary:

Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Edition enables a basic understanding of how to use key multivariate methods in the social sciences. With minimal mathematical and statistical knowledge required, this updated edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models.

After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.

Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.

Contents:

Setting the scence

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 modelling.

Notes:

Revised edition of: The analysis and interpretation of multivariate data for social scientists. c2002.

Includes bibliographical references (pages 356-362) and index.

Electronic reproduction. Boca Raton, FL Available via World Wide Web.

Description based on print version record.

ISBN:

9781584889618

1584889616

Publisher Number:

99972804791

Access Restriction:

Restricted for use by site license.