Applied Statistics Using Stata
A Guide for the Social Sciences
Second Edition
Mehmet Mehmetoglu
- Norwegian University of Science & Technology, Norway
Tor Georg Jakobsen
- Norwegian University of Science & Technology, Norway
If you’re in North America, please visit our Sage College Publishing website to purchase or sample this book:
Go to College Publishing WebsiteDescription
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.
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.
Contents
Chapter 1. Research and Statistics
Chapter 1. Research and Statistics
Chapter 2. Introduction to Stata
Chapter 2. Introduction to Stata
Chapter 3. Simple (Bivariate) Regression
Chapter 3. Simple (Bivariate) Regression
Chapter 4. Multiple Regression
Chapter 4. Multiple Regression
Chapter 5. Dummy-Variable Regression
Chapter 5. Dummy-Variable Regression
Chapter 6. Interaction/Moderation Effects Using Regression
Chapter 6. Interaction/Moderation Effects Using Regression
Chapter 7. Linear Regression Assumptions and Diagnostics
Chapter 7. Linear Regression Assumptions and Diagnostics
Chapter 8. Logistic Regression
Chapter 8. Logistic Regression
Chapter 9. Survival Analysis
Chapter 9. Survival Analysis
Chapter 10. Multilevel Analysis
Chapter 10. Multilevel Analysis
Chapter 11. Panel Data Analysis
Chapter 11. Panel Data Analysis
Chapter 12. Time Series Analysis
Chapter 12. Time Series Analysis
Chapter 13. Exploratory Factor Analysis
Chapter 13. Exploratory Factor Analysis
Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis
Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis
Chapter 15. Advanced Statistical Techniques
Chapter 15. Advanced Statistical Techniques
Chapter 16. Programming and Dynamic Reporting Using Stata
Chapter 16. Programming and Dynamic Reporting Using Stata
Description
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.
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.
Contents
Chapter 1. Research and Statistics
Chapter 1. Research and Statistics
Chapter 2. Introduction to Stata
Chapter 2. Introduction to Stata
Chapter 3. Simple (Bivariate) Regression
Chapter 3. Simple (Bivariate) Regression
Chapter 4. Multiple Regression
Chapter 4. Multiple Regression
Chapter 5. Dummy-Variable Regression
Chapter 5. Dummy-Variable Regression
Chapter 6. Interaction/Moderation Effects Using Regression
Chapter 6. Interaction/Moderation Effects Using Regression
Chapter 7. Linear Regression Assumptions and Diagnostics
Chapter 7. Linear Regression Assumptions and Diagnostics
Chapter 8. Logistic Regression
Chapter 8. Logistic Regression
Chapter 9. Survival Analysis
Chapter 9. Survival Analysis
Chapter 10. Multilevel Analysis
Chapter 10. Multilevel Analysis
Chapter 11. Panel Data Analysis
Chapter 11. Panel Data Analysis
Chapter 12. Time Series Analysis
Chapter 12. Time Series Analysis
Chapter 13. Exploratory Factor Analysis
Chapter 13. Exploratory Factor Analysis
Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis
Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis
Chapter 15. Advanced Statistical Techniques
Chapter 15. Advanced Statistical Techniques
Chapter 16. Programming and Dynamic Reporting Using Stata
Chapter 16. Programming and Dynamic Reporting Using Stata
Reviews
Applied Statistics Using Stata
A Guide for the Social Sciences
April 2022 | 488 pages | Sage UK
| Format | Published Date | ISBN | Price |
|---|
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.
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 Contents:
- 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
Recent Product Reviews:
Mehmetoglu and Jakobsen's book offers a concise, yet comprehensive, introduction to the statistical methods that are widely used in data analysis. In addition to presenting a thorough overview of the basics of conducting empirical research, the book also emphasizes how to use Stata to analyze data in practice. This book is an excellent starting point for those who are interested in empirical work.
Hector H. Sandoval, Assistant Professor, Department of Economics, University of Florida
Newly updated, now with more advanced content, this book remains a must have for those studying applied statistics. The book is practically orientated with intuitive theoretical explanations, a wide array “how-to-do-it” examples and an engaging narrative. You won’t’ be sorry!
Franz Buscha, Processor of Economics, University of Westminster
This is a most impressive teaching and learning resource. Mehmetoglu and Jakobsen expertly introduce introductory to advanced social science data analysis skills in a clear and engaging manner. This text teaches students how to do data analysis in a transparent and principled manner.
Roxanne Connelly, Senior Lecturer in Sociology and Quantitative Methods, School of Social and Political Science, University of Edinburgh