Description
Book Synopsis*What do advanced statistical techniques do?
*When is it appropriate to use them?
*How are they carried out and reported?
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. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:
- concise and accessible introduction to calculating and interpreting advanced statistical techniques
- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique
- succinct illustration of wr
Table of ContentsSeries editor’s foreword
Preface
1 Introduction
PART 1
Grouping quantitative variables together2 Exploratory factor analysis
3 Confirmatory factor analysis
4 Cluster analysis
PART 2
Explaining the variance of a quantitative variable5 Stepwise multiple regression
6 Hierarchical multiple regression
PART 3
Sequencing the relationships between three or more quantitativevariables7 Path analysis assuming no measurement error
8 Path analysis accounting for measurement error
PART 4
Explaining the probability of a dichotomous variable 9 Binary logistic regression
PART 5
Testing differences between group means 10 An introduction to analysis of variance and covariance
11 Unrelated one-way analysis of covariance
12 Unrelated two-way analysis of variance
PART 6
Discriminating between groups 13 Discriminant analysis
PART 7
Analysing frequency tables with three or more qualitative variables
14 Log-linear analysis
Glossary
References
Index
