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1. Conventional interrater reliability: definitions, formulae, and worked examples in SPSS and STATISTICA.

2. Skewness and Pearson correlations: attenuation of coefficient size as a function of skewed data.

3. Percentiles and percentile ranks: confused or what?

4. Numbers of variables, cases, and factor-solution stability.

5. Ordinary least squares regression: assumptions and some clarity.

6. Euclidean distance: raw, normalized, and double-scaled coefficients.

7. KR-20, Cronbach alpha, and binary-response items.

8. Likert coarse-categorization: Pearson correlation attenuation due to categorizing a continuous-valued quantitative variable.

9. Test reliability and validity: The inappropriate use of the Pearson and other variance ratio coefficients for indexing reliability and validity.

10. The Binomial Effect Size Display (BESD): Is this always an accurate index of effect?

12. Hierarchical Multiple Linear Regression: Interpreting Deviation R-Squares.