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Principles of Data Management and Presentation / John P. Hoffmann.

De Gruyter University of California Press Complete eBook-Package 2017 Available online

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EBSCOhost Academic eBook Collection (North America) Available online

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EBSCOhost eBook Community College Collection Available online

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Ebook Central University Press Available online

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Format:
Book
Author/Creator:
Hoffmann, John P., author.
Language:
English
Subjects (All):
Research--Methodology.
Research.
Research--Data processing--Management.
Physical Description:
1 online resource (262 pages)
Edition:
1st ed.
Place of Publication:
Berkeley, CA : University of California Press, [2017]
Language Note:
In English.
Summary:
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.
Contents:
Frontmatter
Contents
Preface
Acknowledgments
1. Why Research?
2. Developing Research Questions
3. Data
4. Principles of Data Management
5. Finding and Using Secondary Data
6. Primary and Administrative Data
7. Working with Missing Data
8. Principles of Data Presentation
9. Designing Tables for Data Presentations
10. Designing Graphics for Data Presentations
Appendix: Introduction to Statistical Software
References
Index
Notes:
Includes bibliographical references and index.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 20. Sep 2019)
ISBN:
9780520964327
0520964322
OCLC:
976036445

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