Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data.
Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation.
The book includes:
· Original case studies and data sets
· Practical exercises and lists of commands for each chapter
· Downloadable Stata programmes created to work alongside chapters
· A wide range of detailed applications using Stata
· Step-by-step guidance on writing the relevant code.
This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.
Table of Content
Chapter 1. Research and Statistics
Chapter 2. Introduction to Stata
Chapter 3. Simple (Bivariate) Regression
Chapter 4. Multiple Regression
Chapter 5. Dummy-Variable Regression
Chapter 6. Interaction/Moderation Effects Using Regression
Chapter 7. Linear Regression Assumptions and Diagnostics
Chapter 8. Logistic Regression
Chapter 9. Survival Analysis
Chapter 10. Multilevel Analysis
Chapter 11. Panel Data Analysis
Chapter 12. Time Series Analysis
Chapter 13. Exploratory Factor Analysis
Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis
Chapter 15. Advanced Statistical Techniques
Chapter 16. Programming and Dynamic Reporting Using Stata
About the author
Tor Georg Jakobsen is professor of political science at NTNU Business School at the Norwegian University of Science and Technology. His research interests include political behavior, peace research and statistical methods. Jakobsen has authored and co-authored articles in, among others, European Sociological Review, Work, Employment and Society and Conflict Management and Peace Science.
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