Leech, N.L., Onwuegbuzie, A.J. & O’Conner, R. (2011). Assessing internal consistency in counseling research. Counseling Outcome Research
and Evaluation, 2, 115–125.
Explains different ways of estimating the reliability of a measure
Parent, M.C. (2013). Handling item-level missing data: simpler is just as good. Counseling Psychologist, 41, 568–600.
An inevitable problem in quantitative research is that the data are always complete – information gets lost, clients don’t return questionnaires, etc. This paper reviews options for handling such situations
Sink, C. & Mvududu, M.H. (2010). Statistical power, sampling, and Effect Sizes: three keys to research relevancy. Counseling Outcome Research and Evaluation, 1, 1–18.
Detailed and accessible discussion of these three key concepts
Mann, B. J., Gosens, T., & Lyman, S. (2012). Quantifying clinically significant change: a brief review of methods and presentation of a hybrid approach. The American Journal of Sports Medicine, 40(10), 2385–2393.
Useful explanation of the rationale for calculating clinically significant change, and clear outline of the Jacobson approach. Although this paper is in a sport medicine journal, what it offers is highly relevant for psychotherapy researchers
Calin-Jageman, R. J., & Cumming, G. (2019). The new statistics for better science: Ask how much, how uncertain, and what else is known. The American Statistician, 73(sup1), 271–280.
Morling, B., & Calin-Jageman, R. J. (2020). What psychology teachers should know about open science and the new statistics. Teaching of Psychology, 47(2), 169–179.
These articles explain recent developments in statistics and explore their implications for applied disciplines such as psychotherapy
