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Design & Analysis Handbook 4th Ed. - Keppel, Wickens. Comp guide on method/stats

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eBay item number:226036779242

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Personalised
No
Country/Region of Manufacture
United States
Subject
Probability & Statistics / General, General, Research, Statistics
ISBN
9780135159415
Subject Area
Mathematics, Social Science, Psychology
Publication Name
Design and Analysis : a Researcher's Handbook
Publisher
Prentice Hall PTR
Item Length
9.4 in
Publication Year
2004
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Geoffrey Keppel, Thomas D. Wickens
Features
Revised
Item Weight
31 Oz
Item Width
7.1 in
Number of Pages
624 Pages

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0135159415
ISBN-13
9780135159415
eBay Product ID (ePID)
4415440

Product Key Features

Number of Pages
624 Pages
Language
English
Publication Name
Design and Analysis : a Researcher's Handbook
Publication Year
2004
Subject
Probability & Statistics / General, General, Research, Statistics
Features
Revised
Type
Textbook
Subject Area
Mathematics, Social Science, Psychology
Author
Geoffrey Keppel, Thomas D. Wickens
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
31 Oz
Item Length
9.4 in
Item Width
7.1 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2003-064774
Dewey Edition
18
Illustrated
Yes
Dewey Decimal
300/.1/82
Table Of Content
I. INTRODUCTION. 1. Experimental Design. II. SINGLE FACTOR EXPERIMENTS. 2. Sources of Variability and Sums of Squares. 3. Variance Estimates and F Ratio. 4. Analytical Comparisons Among Means. 5. Analysis of Trend. 6. Simultaneous Comparisons. 7. The Linear Model and Its Assumptions. 8. Effect Size and Power. 9. Using Statistical Software. III. FACTORIAL EXPERIMENTS WITH TWO FACTORS. 10. Introduction to the Factorial Design. 11. The Principal Two-Factor Effects. 12. Main Effects and Simple Effects. 13. The Analysis of Interaction Components. IV. NONORTHOGONALITY AND THE GENERAL LINEAR MODEL. 14. General Linear Model. 15. The Analysis of Covariance. V. WITHIN-SUBJECT DESIGNS. 16. The Single-Factor Within-Subject Design. 17. Further Within-Subject Topics. 18. The Two-Factor Within-Subject Design. 19. The Mixed Design: Overall Analysis. 20. The Mixed Design: Analytical Analyses. VI. HIGHER FACTORIAL DESIGNS AND OTHER EXTENSIONS. 21. The Overall Three-Factor Design. 22. The Three-Way Analytical Analysis. 23. Within-Subject and Mixed Designs. 24. Random Factors and Generalization. 25. Nested Factors. 26. Higher-Order Designs. Appendix A: Statistical Tables.
Edition Description
Revised edition
Synopsis
The fourth edition of Design and Analysis continues to offer a readily accessible introduction to the designed experiment in research and the statistical analysis of the data from such experiments. Unique because it emphasizes the use of analytical procedures, this book is appropriate for all as it requires knowledge of only the most fundamental mathematical skills and little or no formal statistical background. Topics include: single- and two-factor designs with independent groups of subjects; corresponding designs with multiple observations; analysis of designs with unequal sample sizes; analysis of covariance; designs with three factors, including all combinations of between-subjects and within-subject factors; random factors and statistical generalization; and nested factors. This book lives up to its name as a handbook, because of its usefulness as a source and guide to researchers who require assistance in both planning a study and analyzing its results., For advanced undergraduate/graduate-level courses in Experimental Design and Statistical Analysis in Psychology departments. The fourth edition of Design and Analysis continues to offer a readily accessible introduction to the designed experiment in research and the statistical analysis of the data from such experiments. Unique because it emphasizes the use of analytical procedures, this text is appropriate for the advanced undergraduate or beginning graduate student, as it requires knowledge of only the most fundamental mathematical skills and little or no formal statistical background. This book is also useful as a source and guide to application for researchers who require assistance in both planning a study and analyzing its results.
LC Classification Number
HA29

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