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Elliott A.C., Woodward W.A. Statistical Analysis Quick Reference Guidebook: With SPSS Examples

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Elliott A.C., Woodward W.A. Statistical Analysis Quick Reference Guidebook: With SPSS Examples
Sage Publications, Inc. – 2007, 281 p.
ISBN: 1412925606, 9781412925600
Statistical Analysis Quick Reference Guidebook: With SPSS Examples is a practical "cut to the chase" handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, authors Alan C. Elliott and Wayne A. Woodward provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results, and reporting outcomes.
Key Features
Provides relevant statistical concepts in a comprehensible style: This reference is accessibly designed to assist researchers in applying the proper statistical procedure to their data and reporting results in a professional manner consistent with commonly accepted practice. This guidebook helps researchers make sure they are using an appropriate application, design considerations, tips and caveats, and much more!
Offers statistical insights with SPSS examples: Examples for each analysis are performed using SPSS and step-by-step instructions on how to perform the analysis are given. This guidebook provides information about how to plan a study, prepare data for analysis in SPSS, perform the analysis, and interpret the SPSS output. It also covers useful analyses using SPSS that are not often included in other SPSS how-to books.
Answers many statistical questions on the spot: Written from the perspective of a statistical consultant, this book provides a wealth of information to the researcher who has limited statistical experience. From assumptions and design to computation, interpretation, and presentation of results, the information provided in this book saves the researcher time, money, and frustration!
Intended Audience:
This guidebook is designed to be a statistical reference book for a wide variety of disciplines in the sciences and social sciences. It is specifically useful for undergraduate and graduate introductory statistical methods course that emphasizes the use of computers, particularly SPSS, to perform analyses.
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