Cramer Duncan. Advanced Quantative Data Analysis

Open University Press, 2003. — 250 p. — (Understanding Social Research). — ISBN: 0335-20059-1.There are a variety of statistical techniques used to analyze 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.Grouping quantitative variables together
Exploratory factor analysis
Confirmatory factor analysis
Cluster analysis
Explaining the variance of a quantitative variable
Stepwise multiple regression
Hierarchical multiple regression
Sequencing the relationships between three or more quantitative variables
Path analysis assuming no measurement error
Path analysis accounting for measurement error
Explaining the probability of a dichotomous variable
Binary logistic regression
Testing differences between group means
An introduction to analysis of variance and covariance
Unrelated one-way analysis of covariance
Unrelated two-way analysis of variance
Discriminating between groups
Discriminant analysis
Analysing frequency tables with three or more qualitative variables
Log-linear analysis