Title:
Handbook of data analysis
Author:
Bryman, Alan.
ISBN:
9780761966524
9781848601161
Publication Information:
London : SAGE, 2004.
Physical Description:
xvii, 704 p. : ill. ; 24 cm.
Contents:
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
Abstract:
This book provides a peerless guide to key issues in data analysis, from fundamental concerns such as the construction of variables, the characterization of distributions and the notions of oinference, to the more advanced topics of causality, models of change and network analysis
Subject Term: