Applied Statistics Using Stata
eBook - ePub

Applied Statistics Using Stata

A Guide for the Social Sciences

  1. 488 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Statistics Using Stata

A Guide for the Social Sciences

About this book

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.

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Yes, you can access Applied Statistics Using Stata by Mehmet Mehmetoglu,Tor Georg Jakobsen in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Extended Contents
  8. Companion Website
  9. About the Authors
  10. Preface
  11. Acknowledgements
  12. 1 Research and Statistics
  13. 2 Introduction to Stata
  14. 3 Simple (Bivariate) Regression
  15. 4 Multiple Regression
  16. 5 Dummy-Variable Regression Independent t-test, ANOVA, ANCOVA and two-way ANOVA
  17. 6 Interaction/Moderation Effects Using RegressionFactorial ANOVA and factorial ANCOVA
  18. 7 Linear Regression Assumptions and Diagnostics
  19. 8 Logistic Regression
  20. 9 Survival Analysis
  21. 10 Multilevel Analysis
  22. 11 Panel Data Analysis
  23. 12 Time-Series Analysis
  24. 13 Exploratory Factor Analysis
  25. 14 Structural Equation Modelling and Confirmatory Factor Analysis
  26. 15 Advanced Statistical Techniques
  27. 16 Programming and Dynamic Reporting Using Stata
  28. Index