Statistics for Psychology
2nd Edition
Published on 25. August 1998
Book
Hardback
643 pages
978-0-13-914078-5 (ISBN)
Description
For the first course in Statistics, the Second Edition of Statistics for Psychology capitalizes on a successful approach which presents statistics through definitional formulas to emphasize conceptual understanding, not rote memorization. Presenting statistical methods as a living, growing field of research, the book highlights recent controversies and developments. Thoroughly revised with new content and many new examples, the text takes the student from basic procedures through analysis of variance (ANOVA), and in a unique concluding chapter introduces the general linear model to integrate all of the statistical procedures presented. Better than any other text, Statistics for Psychology not only teaches statistics, but prepares students to read and understand research articles.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 262 mm
Width: 210 mm
Thickness: 30 mm
Weight
1409 gr
ISBN-13
978-0-13-914078-5 (9780139140785)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
08/2002
3rd Edition
Pearson
€88.03
Article exhausted; check for reprint
Previous edition
Arthur Aron | Elaine N. Aron
Statistics for Psychology
Book
11/1993
Pearson Education (US)
€30.94
Article exhausted; check different version
Content
1. Displaying the Order in a Group of Numbers.
2. The Mean, Variance, Standard Deviation, and Z Scores.
3. Correlation.
4. Prediction.
5. Some Key Ingredients for Inferential Statistics.: The Normal Curve, Probability, and Population Versus Sample.
6. Introduction to Hypothesis Testing.
7. Hypothesis Tests With Means of Samples.
8. Statistical Power and Effect Size.
9. The t Test for Dependent Means.
10. The t Test for Independent Means.
11. Introduction to the Analysis of Variance.
12. The Structural Model in the Analysis of Variance.
13. Factorial Analysis of Variance.
14. Chi-Square Tests.
15. Strategies When Population Distributions Are Not Normal: Data Transformations, Rank-Order Tests, and Computer-Intensive Methods.
16. Integrating What You Have Learned: The General Linear Model.
17. Making Sense of Advanced Statistical Procedures in Research Articles.
Appendix A: Overview of the Logic and Language of Psychology Research.
Appendix B: Tables.
Answers to Set I Practice Problems.
Glossary.
Glossary of Symbols.
References.
Index.
2. The Mean, Variance, Standard Deviation, and Z Scores.
3. Correlation.
4. Prediction.
5. Some Key Ingredients for Inferential Statistics.: The Normal Curve, Probability, and Population Versus Sample.
6. Introduction to Hypothesis Testing.
7. Hypothesis Tests With Means of Samples.
8. Statistical Power and Effect Size.
9. The t Test for Dependent Means.
10. The t Test for Independent Means.
11. Introduction to the Analysis of Variance.
12. The Structural Model in the Analysis of Variance.
13. Factorial Analysis of Variance.
14. Chi-Square Tests.
15. Strategies When Population Distributions Are Not Normal: Data Transformations, Rank-Order Tests, and Computer-Intensive Methods.
16. Integrating What You Have Learned: The General Linear Model.
17. Making Sense of Advanced Statistical Procedures in Research Articles.
Appendix A: Overview of the Logic and Language of Psychology Research.
Appendix B: Tables.
Answers to Set I Practice Problems.
Glossary.
Glossary of Symbols.
References.
Index.