The Practice of Survey Research
eBook - ePub

The Practice of Survey Research

Theory and Applications

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

The Practice of Survey Research

Theory and Applications

About this book

Unique in its integration of theory and application, this comprehensive book explains survey design, implementation, data analysis, and continuing data management, including how to effectively incorporate the latest technology (e.g., SurveyMonkey and Qualtrics). Data management and analysis are demonstrated and explained through statistical software including SPSS, SAS, and STATA. In addition to helping students develop a complete understanding of survey research from start to finish, the authors also address the challenges and issues of specific disciplines.

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Yes, you can access The Practice of Survey Research by Erin Ruel,William Edward Wagner, III,Brian Joseph Gillespie,William E. Wagner-Huang 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. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Brief Table of Contents
  7. Table of Contents
  8. Preface
  9. Acknowledgments
  10. Publisher Note
  11. About the Authors
  12. Section I Decisions to Make Before Conducting the Survey
  13. 1 Introduction to Survey Research
  14. Section II Questionnaire Design
  15. 2 Types of Surveys
  16. 3 The Cover Letter and Survey Instrument
  17. 4 Survey Question Construction
  18. 5 The Quality of Measurement Reliability and Validity
  19. 6 Pretesting and Pilot Testing
  20. Section III Implementing a Survey
  21. 7 Selecting a Sample Probability Sampling
  22. 8 Nonprobability Sampling and Sampling Hard-to-Find Populations
  23. 9 Improving Response Rates and Retention
  24. 10 Technologies to Develop and Implement Surveys
  25. 11 Data Collection
  26. Section IV Postsurvey Data Management and Analysis
  27. 12 Data Entry
  28. 13 Data Cleaning
  29. 14 Data Analysis for a Policy Report
  30. 15 More Advanced Data Analysis
  31. 16 Data Archiving
  32. Epilogue
  33. References
  34. Author Index
  35. Index