Applied Statistics Using Stata
A Guide for the Social Sciences
- Mehmet Mehmetoglu - Norwegian University of Science & Technology, Norway
- Tor Georg Jakobsen - Norwegian University of Science & Technology, Norway
Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’.
Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs.
The book also provides:
- Original case studies and data sets
- Practical guidance on how to run and test models in Stata
- Downloadable Stata programmes created to work alongside chapters
- A wide range of detailed applications using Stata
- Step-by-step notes on writing the relevant code.
This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
Supplements
Practically orientated with a plethora of examples and an engaging narrative, this book is a must have for all those studying applied social statistics.
This book provides an extraordinary and very readable account of the applied statistics methods needed in the social sciences. With its captivating didactical exposition, the book will be an invaluable resource for the novice as well as the advanced researcher.
Stata users, especially social scientists, will find helpful advice in fitting statistical models to a diverse set of examples encountered when investigating the complexity and subtlety of real data. The authors emphasize the importance of assumptions behind the models and present clear exposition of the tools embedded in Stata to test these assumptions.
This book addresses in an entertaining and instructive way multivariate analysis in the context of the Stata program. Well structured in relation to the themes and the main techniques of multivariate analysis, it is an easy-to-read book that helps you not only with statistics but also with using stata in investigations.
I believe this is an excellent textbook for methods at the Master’s level. The sample of methods and approaches is very good. In addition to treating the “ordinary” techniques like linear and logistic regression, the book also deals with multilevel analysis, panel data analysis, factor analysis, and structural equation model. This covers the quantitative methods that are relevant for today’s Master’s students.
The material is presented at an acceptable advanced level where the necessary formulas are presented, and at the same time explained in an accessible manner. The highlighting of how to perform an analysis combined with examples from Stata makes the material easy to access for the students. This is definitely a book that I would like to use in my teaching.
