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Multivariate Analysis Techniques in Social Science Research

Multivariate Analysis Techniques in Social Science Research
From Problem to Analysis

May 1997 | 432 pages | SAGE Publications Ltd
Starting with a number of real research examples in the social sciences, the author clearly demonstrates how a researcher chooses the appropriate technique when using multivariate analysis. A wide selection of topics is examined from a range of disciplines, including sociology, psychology, economics, political science, and international comparative research. Multivariate Analysis Techniques in Social Science Research provides the reader with a clear and nontechnical overview of the different types of research problems and the range of multivariate methods available to the researcher. The book also gives a series of detailed examples based on real data from published empirical research that enables the reader to see how the content of the research relates to the multivariate technique used. Author Jacques Tacq covers all the classical multivariate techniques and provides a step-by-step analysis using SPSS that provides a clear explanation of the output so the reader can work through each of the examples. Also included are a useful introduction and summary of all the necessary statistical concepts that enable the reader to deal with the more advanced techniques. Multivariate Analysis Techniques in Social Science Research will appeal to all students and researchers in the social sciences who use and need to understand how to select multivariate methods for their research problems.

Types of Research Problems and Research Situations
A Classification of Classical Techniques of Multivariate Analysis
The Analysis Technique as the Mirror of the Research Problem
The Experimental Design
The Effect of Humour on Financial Concession

Multiple Regression Analysis
The Causes of Childlessness

Partial Correlation and Path Analysis
The Causal Influence of Christian Beliefs on Anti-Semitism

Analysis of Variance and Covariance
The Effect of Interaction of Monetary Rewards and Task Interest on Motivation

Two-Group Discriminant Analysis
Poor and Rich Neighbourhoods

Factor Analysis
The Investigation of Marital Adjustment

Canonical Correlation Analysis
The Study of Economic Inequality and Political Instability

Techniques with Multiple Dependent Variables

`For the statistician seeking a fresh and original angle on the methods in question, this book will prove stimulating and thought provoking' - The Statistician

`One of the difficulties facing teachers of social research is the lack of sociological examples in current textbooks when it comes to explaining statistical findings in substantive terms. We can only appreciate the effort Tacq has made in searching out the examples he has chosen' - European Sociological Review

Multivariate Analysis Techniques in Social Science Research (J. Tacq) is an excellent textbook for a course "Multidimentional Analysis". All methods are presented very clearly and in detail manner. Very good exapmles are the most valuable parts of all chapters.

Dr Jacek Batóg
Department of Econometrics and Statistics, University of Szczecin
August 3, 2011

The book is a bit too mathematical for social sciences students who are weak in statistics, but useful for those who have solid background in mathematics and want to learn more

Dr Wu Joseph
Psychology , City University of Hong Kong
November 22, 2009

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