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Multivariate Analysis Techniques in Social Science Research
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Multivariate Analysis Techniques in Social Science Research
From Problem to Analysis



January 1997 | 432 pages | SAGE Publications Ltd
Unlike most statistical texts, this book breathes real life into multivariate analysis. Starting with a range of actual research examples in the social sciences, it demonstrates how to make the most appropriate choice of technique. The examples are drawn from a broad spectrum of disciplines including: sociology, psychology, economics, political science and international comparative research.

 
PART ONE: FROM THEORY TO METHODOLOGY
 
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
 
PART TWO: FROM METHODOLOGY TO ANALYSIS
 
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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