* 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 writing up the results of these analyses * minimum of mathematical, statistical and technical notation * annotated bibliography and glossary of key concepts Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.
Author(s): Duncan Cramer
Series: Understanding Social Research
Edition: 1
Publisher: Open University Press
Year: 2003
Language: English
Pages: 267
Cover......Page 1
Half Title......Page 2
Title......Page 4
Copyright......Page 5
Contents......Page 6
Foreword......Page 8
Preface......Page 10
1. Introduction
......Page 14
I. Grouping quantitative variables together
......Page 24
2. Exploratory factor analysis
......Page 26
3. Confirmatory factor analysis
......Page 41
4. Cluster analysis
......Page 59
II. Explaining the variance of a quantitative variable
......Page 70
5. Stepwise multiple regression
......Page 72
6. Hierarchical multiple regression
......Page 87
II. Sequencing the relationships between three or more quantitative variables
......Page 100
7. Path analysis assuming no measurement error
......Page 102
8. Path analysis accounting for measurement error
......Page 116
IV. Explaining the probability of a dichotomous variable
......Page 132
9. Binary logistic regression
......Page 134
V. Testing differences between group means
......Page 156
10. An introduction to analysis of variance and covariance
......Page 158
11. Unrelated one-way analysis of variance
......Page 174
12. Unrelated two-way analysis of variance
......Page 192
VI. Discriminating between groups
......Page 214
13. Discriminant analysis
......Page 216
VII. Analysing frequence tables between three or more qualitative variables
......Page 234
14. Log-linear analysis
......Page 236
Glossary......Page 253
References......Page 258
Index......Page 260
