Neil J. Salkind received his PhD in human development from the University of Maryland, and after teaching for 35 years at the University of Kansas, he was Professor Emeritus in the Department of Psychology and Research in Education, where he collaborated with colleagues and work with students. His early interests were in the area of children's cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina's Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years. He lived in Lawrence, Kansas, where he liked to read, swim with the River City Sharks, work as the proprietor and sole employee of big boy press, bake brownies (see www.statisticsforpeople.com for the recipe), and poke around old Volvos and old houses. Bruce B. Frey, PhD, is an award-winning teacher and scholar at the University of Kansas. He has authored more than 100 research articles and papers. Among his books are the best-selling textbook, Statistics for People Who (Think They) Hate Statistics, Modern Classroom Assessment, and There's a Stat for That!, all published by SAGE, and Stat Hacks published by O'Reilly. He is the editor of The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation. In his free time, he celebrates bubblegum pop music of the late 1960s on his popular podcast, Echo Valley.
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Description
Chapter 1. Statistics or Sadistics? It's Up to You Chapter 2. Computing and Understanding Averages: Means to an End Chapter 3. Understanding Variability: Vive la Difference Chapter 4. Creating Graphs: A Picture Really Is Worth a Thousand Words Chapter 5. Computing Correlation Coefficients: Ice Cream and Crime Chapter 6. An Introduction to Understanding Reliability and Validity: Just the Truth Chapter 7. Hypotheticals and You: Testing Your Questions Chapter 8. Probability and Why it Counts: Fun with a Bell-Shaped Curve Chapter 9. Significantly Significant: What It Means for You and Me Chapter 10. The One-Sample z-Test: Only the Lonely Chapter 11. t(ea) for Two: Tests Between the Means of Different Groups Chapter 12. t(ea) for Two (Again): Tests Between the Means of Related Groups Chapter 13. Two Groups Too Many? Try Analysis of Variance Chapter 14. Two Too Many Factors: Factorial Analysis of Variance-A Brief Introduction Chapter 15. Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends? Chapter 16. Using Linear Regression: Predicting the Future Chapter 17. Chi-Square and Some Other Nonparametric Tests: What to Do When You're Not Normal Chapter 18. Some Other (Important) Statistical Procedures You Should Know About Chapter 19. Data Mining: An Introduction to Getting the Most Out of Your BIG Data Appendix A. Practice With Real Data! Appendix B. Writing Up Your Results-Guidelines Based on APA Style