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eBook Understanding and Applying Research Design ePub

eBook Understanding and Applying Research Design ePub

by Jennifer McKinney,Martin Lee Abbott

  • ISBN: 1118096487
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Jennifer McKinney,Martin Lee Abbott
  • Language: English
  • Publisher: Wiley; 1 edition (December 17, 2012)
  • Pages: 448
  • ePub book: 1411 kb
  • Fb2 book: 1689 kb
  • Other: txt lrf lrf rtf
  • Rating: 4.2
  • Votes: 875


Martin Lee Abbott (Author), Jennifer McKinney (Author).

Martin Lee Abbott (Author), Jennifer McKinney (Author). ISBN-13: 978-1118096482.

Book · January 2013 with 134 Reads. How we measure 'reads'.

Statistical procedures that use a higher level of data, namely interval data, also detect differences among variables. Book · January 2013 with 134 Reads. The authors have put much effort in making the study replicable.

Quantitative designs rely primarily on describing.

Martin Lee Abbott, Jennifer McKinney. ISBN: 978-1-118-64732-5 January 2013 448 Pages. He is the author of The Program Evaluation Prism: Using Statistical Methods to Discover Patterns and Understanding Educational Statistics Using Microsoft Excel and SPSS, both from Wiley. JENNIFER McKINNEY, PhD, is Associate Professor and Co-chair of the Department of Sociology and Director of the Women’s Studies Program at Seattle Pacific University.

Full recovery of all data can take up to 2 weeks! So we came to the decision at this time to double the download limits for all users until the problem is completely resolved. Thanks for your understanding! Progress: 9. 1% restored. Martin Lee Abbott, Jennifer McKinney.

A fresh approach to bridging research design with statistical analysis

While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences.

The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design:

Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table AnalysisProcedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causationDesigns of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments

Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code.

Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.