Experimental Design and Analysis for Psychology

Paperback | February 15, 2009

byHerve Abdi, Betty Edelman, Dominique Valentin

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Careful data collection and analysis lies at the heart of good research, through which our understanding of psychology is enhanced. Yet the students who will become the next generation of researchers need more exposure to statistics and experimental design than a typical introductory coursepresents. Experimental Design and Analysis for Psychology provides a complete course in data collection and analysis for students who need to go beyond the basics.Acting as a true course companion, the text's engaging writing style leads readers through a range of often challenging topics, blending examples and exercises with careful explanations and custom-drawn figures to ensure even the most daunting concepts can be fully understood.Opening with a review of key concepts, including probability, correlation, and regression, the book goes on to explore the analysis of variance and factorial designs, before moving on to consider a range of more specialised, but yet powerful, statistical tools, including the General Linear Model,and the concept of unbalanced designs.Not just a printed book, Experimental Design and Analysis for Psychology is enhanced by a range of online materials, all of which add to its value as an ideal teaching and learning resource.The Online Resource Centre features:For registered adopters:Figures from the book, available to download.Answers to exercises featured in the book.Online-only Part III: bonus chapters featuring more advanced material, to extend the coverage of the printed book.For students:A downloadable workbook, featuring exercises for self-study.SAS, SPSS and R companions, featuring program code and output for all major examples in the book tailored to these three software packages.

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From the Publisher

Careful data collection and analysis lies at the heart of good research, through which our understanding of psychology is enhanced. Yet the students who will become the next generation of researchers need more exposure to statistics and experimental design than a typical introductory coursepresents. Experimental Design and Analysis for...

Herve Abdi He is currently a full professor in the School of Behavioral and Brain Sciences at the University of Texas at Dallas and an adjunct professor of radiology at the University of Texas Southwestern Medical Center at Dallas. His research interests include face processing and computational models of face processing, neural netwo...

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Format:PaperbackDimensions:640 pages, 10.39 × 7.68 × 1.15 inPublished:February 15, 2009Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199299889

ISBN - 13:9780199299881

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Table of Contents

1. Introduction to experimental design2. Correlation3. Statistical test: the F test4. Simple linear regression5. Orthogonal multiple regression6. Non-orthogonal multiple regression7. ANOVA one factor: intuitive approach and computation of F8. ANOVA, one factor: test, computation, and effect size9. ANOVA, one factor: regression point of view10. ANOVA, one factor: score model11. Assumption of analysis of variance12. Analysis of variance, one factor: planned orthogonal comparisons13. ANOVA, one factor: planned non-orthogonal comparisons14. ANOVA, one factor: post hoc or a posteriori analyses15. More on experimental design: multi-factorial designs16. ANOVA, two factors: A x B or S (A x B)17. Factorial designs and contrasts18. ANOVA, one-factor repeated measures design: S x A19. ANOVA, two factor completely repeated measures: S x A x B20. ANOVA, two factor partially repeated measures: S(A) x B21. ANOVA, nested factorial design: S x A(B)22. How to derive expected values for any designAppendicesA. Descriptive statisticsB. The sum signC. Elementary probability: a refresherD. Probability distributionsE. The binomial testF. Expected valuesStatistical tablesReferencesIndex