Introduction to Design and Analysis : A Student's Handbook
by Geoffrey KeppelEdition: 2nd
Format: Paperback
Pub. Date: 1992-03-15
Publisher(s): Worth Publishers
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Summary
Introduces undergraduates to the design and statistical analysis of common experiments. Concepts are explained with step-by-step descriptions, worked examples, and an extensive series of exercises. Written for students who meet the standard quantitative prerequisites for entry into most colleges and universities.
Table of Contents
I. Experimental Design and Preliminary Data Analysis
1. Introduction to Experimental Design
2. Preliminary Design Analysis
II. The Analysis of Single-Factor Experiments
3. The Logic of Hypothesis Testing
4. Calculating the F Ratio
5. Evaluating the F Ratio
6. Analytical Comparisons in the Single-Factor Design
7. Estimating Population Means and Effect Size
8. Errors of Hypothesis Testing and Statistical Power
9. Introduction to the Analysis of Factorial Experiments
III. The Analysis of Factoral Designs
10. Analytical Comparisons in the Factorial Design
IV. The Analysis of Within-Subject Designs
11. The Single-Factor Within-Subjects Design
12. The Mixed Within-Subjects Factorial Design
13. The Two-Factor Within-Subjects Design
V. Additional Statistical Procedures
14. Analysis of Categorical Data
15. Correlation and Regression
16. Additional Topics: Nonexperimental Research, Using the Computer, and Areas of Further Study
Appendixes
Glossary
References
Indexes
1. Introduction to Experimental Design
2. Preliminary Design Analysis
II. The Analysis of Single-Factor Experiments
3. The Logic of Hypothesis Testing
4. Calculating the F Ratio
5. Evaluating the F Ratio
6. Analytical Comparisons in the Single-Factor Design
7. Estimating Population Means and Effect Size
8. Errors of Hypothesis Testing and Statistical Power
9. Introduction to the Analysis of Factorial Experiments
III. The Analysis of Factoral Designs
10. Analytical Comparisons in the Factorial Design
IV. The Analysis of Within-Subject Designs
11. The Single-Factor Within-Subjects Design
12. The Mixed Within-Subjects Factorial Design
13. The Two-Factor Within-Subjects Design
V. Additional Statistical Procedures
14. Analysis of Categorical Data
15. Correlation and Regression
16. Additional Topics: Nonexperimental Research, Using the Computer, and Areas of Further Study
Appendixes
Glossary
References
Indexes
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