1. Introduction: Common threrads among techniques of data analysis. Part I. Foundations. 2. Constructing variables -- 3. Summarizing distributions -- 4. Inference -- 5. Strategies for analysis of incomplete data -- 6. Feminist issues in data analysis -- 7. Historical analysis. Part II. The general linear model and extensions. 8. Multiple regression analysis -- 9. Incorporating categorical information into regression models: the utility of dummy variables -- 10. Analyzing contigent effects in regression models

11. Regression models for categorical outcomes -- 12. Log-linear analysis. Part III. Longitudinal models. 13. Modeling change -- 14. Analyzing panel data: fixed- and random-effects models -- 15. Longitudinal analysis for continuous outcomes: random effects models and latent trajectory models -- 16. Event history analysis.

17. Sequence analysis and optimal matching techniques for social science data. Part IV. New developments in modeling. 18. Sample selection bias models -- 19. Structural equation modeling -- 20. Multilevel modelling -- 21. Causal inference in sociological studies -- 22. The analysis of social networks. Part V. Analyzing qualitative data. 23. Tools for qualitative data analysis -- 24. Content analysis -- 25. Semiotics and data analysis -- 26. Conversation analysis -- 28. Grounded theory -- 29. The uses of narrative in social science research -- 30. Qualitative research and the postmodern turn. Appendix: Areas of the standard normal distribution