Experimental Design and Analysis for Psychology

✍ Scribed by Herve Abdi, Betty Edelman, Dominique Valentin, W. Jay Dowling

• Publisher: Oxford University Press
• Year: 2009
• Tongue: English
• Leaves: 559
• Edition: 1
• Category: Library

✦ Synopsis

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 course presents. 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.

✦ Table of Contents

Preface......Page 6
Acknowledgements......Page 7
Contents......Page 8
1 Introduction to experimental design......Page 21
2 Correlation......Page 36
3 Statistical test: the F test......Page 59
4 Simple linear regression......Page 83
5 Orthogonal multiple regression......Page 106
6 Non-orthogonal multiple regression......Page 132
7 ANOVA one factor: intuitive approach and computation of F......Page 150
8 ANOVA, one factor: test, computation, and effect size......Page 167
9 ANOVA, one factor: regression point of view......Page 192
10 ANOVA, one factor: score model......Page 211
11 Assumptions of analysis of variance......Page 231
12 Analysis of variance, one factor: planned orthogonalcomparisons......Page 244
13 ANOVA, one factor: planned non-orthogonal comparisons......Page 273
14 ANOVA, one factor: post hoc or a posteriori analyses......Page 288
15 More on experimental design: multi-factorial designs......Page 302
16 ANOVA, two factors: A × B or S(A × B)......Page 310
17 Factorial designs and contrasts......Page 344
18 ANOVA, one-factor repeated measures design: S × A......Page 355
19 ANOVA, two-factor completely repeated measures: S × A × B......Page 378
20 ANOVA, two factor partially repeated measures: S(A) × B......Page 393
21 ANOVA, nested factorial design: S × A(B)......Page 407
22 How to derive expected values for any design......Page 416
Appendices......Page 429
A Descriptive statistics......Page 431
B The sum sign......Page 444
C Elementary probability: a refresher......Page 446
D Probability distributions......Page 463
E The binomial test......Page 490
F Expected values......Page 505
Statistical tables......Page 515
References......Page 538
Index......Page 551

✦ Subjects

Психологические дисциплины;Экспериментальная психология;