Principles of Data Management and Presentation
eBook - PDF

Principles of Data Management and Presentation

  1. 288 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Principles of Data Management and Presentation

Book details
Table of contents
Citations

About This Book

The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap.Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including:
• how to narrow a research topic to a specific research question
• how to access and organize data that are useful for answering a research question
• how to use software such as Stata, SPSS, and SAS to manage data
• how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.

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Yes, you can access Principles of Data Management and Presentation by Dr. John P. Hoffmann 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.

Information

Publisher
University of California Press
Year
2017
ISBN
9780520964327
Edition
1
Topic
Social Sciences
Subtopic
Social Science Research & Methodology
Index
Social Sciences

Table of contents

  1. Cover
  2. Contents
  3. Preface
  4. Acknowledgments
  5. 1 Why Research?
  6. 2 Developing Research Questions
  7. 3 Data
  8. 4 Principles of Data Management
  9. 5 Finding and Using Secondary Data
  10. 6 Primary and Administrative Data
  11. 7 Working with Missing Data
  12. 8 Principles of Data Presentation
  13. 9 Designing Tables for Data Presentations
  14. 10 Designing Graphics for Data Presentations
  15. Appendix: Introduction to Statistical Software
  16. References
  17. Index