Design and Analysis: A Researcher's Handbook

Hardcover | January 21, 2004

byGeoffrey Keppel, Thomas D. Wickens

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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.

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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 mos...

From the Jacket

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 ...

Format:HardcoverDimensions:624 pages, 9.4 × 7.4 × 1 inPublished:January 21, 2004Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0135159415

ISBN - 13:9780135159415

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Extra Content

Table of Contents

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.