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.
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).
Two reference articles important to the content of this report are available for download:
Rosenthal, R., & Rubin, D.R. (1982) A simple, general purpose display of magnitude of experimental effect. Journal of Educational Psychology, 74, 2, 166-169.
Hsu, L.M. (2004) Biases of success rate differences shown in Binomial Effect Size Displays. Psychological Methods, 9, 2, 183-197.
11. Equifinal Profiling
12. Hierarchical Multiple Linear Regression: Interpreting Deviation R-Squares.
13. Prorating Scale Scores: A consequential analysis.