Synopsis
This text includes examples drawn from throughout the social and behavioural sciences, education, nursing/allied health, business, and everyday life. The author's aim is for students to learn how to select the proper statistical technique, explain why the technique is appropriate, calculate the statistics, and write an interpretation of the statistical results.
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About the Author
Chris Spatz earned a Ph.D. from Tulane University in experimental psychology. He subsequently held NSF and NIMH postdoctoral fellowships in animal behavior at the University of Michigan and the University of California, Berkeley. He is a professor of psychology at Hendrix College, Conway, Arkansas. Spatz also held positions at The University of the South and the University of Arkansas at Monticello.
Review
Table of Contents 1. Introduction. 2. Exploring Data: Frequency Distributions and Graphs. 3. Exploring Data: Central Tendency. 4. Exploring Data: Variability. 5. Other Descriptive Statistics. 6. Correlation and Regression. 7. Theoretical Distributions Including the Normal Distribution. 8. Samples, Sampling Distributions, and Confidence Intervals. 9. Hypothesis Testing and Effect Size: One-Sample Designs. 10. Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs. 11. Analysis of Variance: One-Way Classification. 12. Analysis of Variance: One-Factor Repeated Measures. 13. Analysis of Variance: Factorial Design. 14. Chi Square Tests. 15. More nonparametric Tests 16. Choosing Tests and Writing Interpretations. Appendix A: Arithmetic and Algebra Review. Appendix B: Grouped Frequency Distributions and Central Tendency. Appendix C: Tables. Appendix D: Glossary of Words. Appendix E: Glossary of Symbols. Appendix F: Glossary of Formulas. Appendix G: Answers to Problems. References Index Inside Back Cover: Decision Tree for Statistics.
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