Treiman D.J. Quantitative Data Analysis: Doing Social Research to Test Ideas

N.-Y.: Jossey-Bass, 2009. — 448 p.This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data. The book also will be useful to more experienced researchers who need a readily accessible handbook on quantitative methods.The author has posted stata files, updates and data sets at his website http://tinyurl.com/Treiman-stata-files-data-sets.Cross-tabulations
More on tables
Still more on tables
On the manipulation of data by computer
Introduction to correlation and regresssion (ordinary least squares)
Introduction to multiple correlation and regression (ordinary least squares)
Multiple regression tricks: Techniques for handling special analytic problems
Multiple imputation of missing data
Sample design and survey estimation
Regression diagnostics
Scale construction
Log-linear analysis
Binomial logistic regression
Multinomial and ordinal logistic regression and tobit regression
Improving causal inference: fixed effects and random effects modeling
Final thoughts and future directions: research design and interpretation issues
Appendix