Straightforward statistics : understanding the tools of research / Glenn Geher, Sara Hall.
By: Geher, Glenn | [author.].
Contributor(s): Hall, Sara | [author.].Material type: BookPublisher: New York ; Oxford : Oxford University Press, 2014Description: xvi, 395 pages : illustrations ; 26 cm.ISBN: 9780190276959.Subject(s): Psychometrics | Psychology | Psychology | Statistics | -- Mathematical models | -- Research | -- Study and teaching (Higher)DDC classification: 150.151
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CUTN Central Library
Philosophy & psychology
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|Non-fiction||150.151 GEH (Browse shelf)||Available||33117|
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|150.151 CHA Applied psychometry /||150.151 CHA Applied psychometry /||150.151 COA An Introduction to Psychological Assessment & Psychometrics /||150.151 GEH Straightforward statistics :||150.151 MOH Statistics for behavioural and social sciences /||150.151 MOH Statistics for behavioural and social sciences /||150.151 STE Psychology Express:|
Originally published: 2014.
1. Prelude : why do I need to learn statistics? -- 2. Describing a single variable -- 3. Standardized scores -- 4. Correlation -- 5. Statistical prediction and regression -- 6. The basic elements of hypothesis testing -- 7. Introduction to hypothesis testing -- 8. Hypothesis testing in N>1 -- 9. Statistical power -- 10. t-tests (one-sample and within-groups) -- 11. The between-groups t-test -- 12. Analysis of variance -- 13. Chi square and hypothesis-testing with categorical variables --
Includes bibliographical references and index.
"Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples."