In this week’s episode Greg and Patrick have a loosely organized discussion about metrics, including the pros and cons of raw versus standardized scales and the advantages of having multiple metrics for the same effect. Along the way they also discuss the Odyssey, Dulles airport, driving in Canada, Smitty’s corpse, friends in low places, two minute warnings, He’s Not Here, Carolina basketball, fixing it in post, buying firewood, Salzburg vs. Munich, 440 megahertz, Space Force, four middle schools, and get it together people.
Related Episodes
- S6E18: Count Variables
- S4E13: Model-Based Power Analysis: The Power of *What*
- S2E17: Non-Normal Distributions: Embracing Your Non-Normality
- S1E13: How Do I Get Scale Scores? Weight, Weight… Don’t Tell Me!
- S1E02: (Statistical) Power Struggles
Recommended Readings
Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45(12), 1304.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Toutledge.
Kelley, K., & Preacher, K. J. (2012). On effect size. Psychological Methods, 17(2), 137.
Michell, J. (2009). The psychometricians’ fallacy: Too clever by half?. British Journal of Mathematical and Statistical Psychology, 62(1), 41-55.
Rosenthal, R., Cooper, H., & Hedges, L. (1994). Parametric measures of effect size. The handbook of research synthesis, 621(2), 231-244.
Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103(2684), 677-680.
