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Social Science Research Design and Statistics
A Practitioner's Guide to Research Methods and IBM SPSS Analysis
This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures.
Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.
| 제목 | Social Science Research Design and Statistics: A Practitioner's Guide to Research Methods and IBM SPSS Analysis |
|---|---|
| 저자 | Alfred P. Rovai, Jason D. Baker, Michael K. Ponton |
| 출판사 | Watertree Press |
| 출간 | 2013 |
| 쪽수 | 630쪽 |
| 제본 | 무선(페이퍼백) |
| ISBN | 9780978718688 |
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