Statistics for Psychology
United States Edition
3rd Edition
Published on 23. August 2002
Book
Hardback
710 pages
978-0-13-035810-3 (ISBN)
Description
For one/two semester undergraduate courses in Introductory Statistical Methods for Psychology.
This third edition of the popular text capitalizes on a successful approach of using definitional formulas to emphasize concepts of statistics, rather than rote memorization. This approach constantly reminds students of the logic behind what they are learning, and each procedure is taught both verbally and numerically, which permanently establishes the concepts in the students' minds. Thoroughly revised with new content, many new examples, new pedagogical features, and doubling the number of practice problems, this text takes the reader from basic procedures through analysis of variance (ANOVA), and not only teaches statistics, but prepares students to read and understand research articles.
This third edition of the popular text capitalizes on a successful approach of using definitional formulas to emphasize concepts of statistics, rather than rote memorization. This approach constantly reminds students of the logic behind what they are learning, and each procedure is taught both verbally and numerically, which permanently establishes the concepts in the students' minds. Thoroughly revised with new content, many new examples, new pedagogical features, and doubling the number of practice problems, this text takes the reader from basic procedures through analysis of variance (ANOVA), and not only teaches statistics, but prepares students to read and understand research articles.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 260 mm
Width: 209 mm
Thickness: 31 mm
Weight
1480 gr
ISBN-13
978-0-13-035810-3 (9780130358103)
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
10/2005
4th Edition
Pearson
€96.71
Article exhausted; check for reprint
Previous edition
Arthur Aron | Elaine N. Aron
Statistics for Psychology
Book
08/1998
2nd Edition
Pearson
€37.19
Article exhausted; check for reprint
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. Making Sense of Statistical Significance: Effect Size, Decision Error, and Statistical Power.
9. Introduction to the t Test.
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 and Rank-Order Tests.
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. Making Sense of Statistical Significance: Effect Size, Decision Error, and Statistical Power.
9. Introduction to the t Test.
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 and Rank-Order Tests.
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.