Making sense of multivariate data analysis / John Spicer.

Format:

Book

Author/Creator:

Spicer, John.

Language:

English

Subjects (All):

Social sciences--Statistical methods.

Social sciences.

Multivariate analysis.

Physical Description:

xvii, 233 pages : illustrations ; 23 cm

Place of Publication:

Thousand Oaks, Calif. : Sage Publications, [2005]

Summary:

Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual overview of the foundations of MDA and of a range of specific techniques including multiple regression, logistic regression, discriminant analysis, multivariate analysis of variance, factor analysis, and log-linear analysis. As a conceptual introduction, the book assumes no prior statistical knowledge, and contains very few symbols or equations. Its primary objective is to expose the conceptual unity of MDA techniques both in their foundations and in the common analytic strategies that lie at the heart of all of the techniques. Although introductory, the book encourages the reader to reflect critically on the general strengths and limitations of MDA techniques. Each chapter includes references for further reading accessible to the beginner.

Contents:

What makes a difference?

Deciding whether differences are trustworthy

Accounting for differences in a complex world

Multiple regression

Logistic regression and discriminant analysis

Multivariate analysis of variance

Factor analysis

Log-linear analysis.

Notes:

Includes bibliographical references (pages 221-224) and index.

ISBN:

1412909155

1412904013

OCLC:

54852807