Advanced Quantitative Data Analysis

Front Cover
McGraw-Hill Education (UK), Jul 1, 2003 - Social Science - 254 pages
0 Reviews
There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Chapter 01 Introduction
1
Part 01 Grouping quantitative variables together
11
Part 02 Explaining the variance of a quantitative variable
57
Part 03 Sequencing the relationships between three or more quantitative variables
87
Part 04 Explaining the probability of a dichotomous variable
119
Part 05 Testing differences between group means
143
Part 06 Discriminating between groups
201
Part 07 Analysing frequency tables with three or more qualitative variables
221
Glossary
240
References
245
Index
247
Back cover
255
Copyright

Other editions - View all

Common terms and phrases

About the author (2003)

Duncan Cramer has been a Reader in Psychological Health in the Department of Social Sciences at Loughborough University since 1996. He has authored or co-authored various texts on statistics including An Introduction to Statistics in Psychology (2000) and Quantitative Data Analysis with SPSS Release 10 for Windows (2001).

Bibliographic information