Best Passages

This section of the Website contains several brief passages taken varbatim from the book. They were selected by the author and identified as "Best Passages" because they deal with issues of extraordinary importance to anyone who either is reading someone else's research report or is summarizing the results of his/her own investigation.

1. The Danger of Reading Only the Abstract
2. Outliers
3. Assessing Reliability and Validity
4. The Importance of Samples and Populations
5. The Importance of the Null Hypothesis
6. Statistical Significance vs. Practical Significance (A)
7. Sample Size and Power (A)
8. Sample Size and Power (B)
9. Don't Be Misled By "p-Statements" (A)
10. Don't Be Misled By "p-Statements" (B)
11. p, r, and the Coefficient of Determination
12. Calculating the Sample Size When Testing r
13. Scatter Diagrams and Tests of Correlations
14. Not Rejecting Ho Doesn't Mean It's True
15. Statistical Significance vs. Practical Significance (B)
16. Type I and Type II Errors
17. Inference and Proof
18. Underlying Assumptions and One-Way ANOVAs
19. One-Way ANOVAs and What's REALLY Important
20. Post Hoc Tests, Samples, and Populations
21. Your Right To Be Liberal Or Conservative
22. Planned Comparisons in Two-Way ANOVAs
23. Practical and Statistical Significance in Two-Way ANOVAs
24. You Can't Make a Silk Purse Out of a Sow's Ear
25. The Mistake of "Accepting the Null"
26. Practical and Statistical Significance in Three-Way ANOVAs
27. Type I and Type II Errors and Repeated-Measures ANOVAs
28. ANCOVA's Underlying Assumptions
29. Warning: ANCOVA Used With Intact Groups
30. Are ANCOVA Studies Better Than ANOVA Studies?
31. Modeling in Logistic Regression
32. Regression Analyses and Discovery
33. The Importance of the Research Question(s)
34. "Distribution-Free": A Misleading Term

Copyright © 2012

Schuyler W. Huck
All rights reserved.