OBJECTIVE: The measurement of clinical change via single-group pre-post effect size has become increasingly common in psychotherapy settings that collect practice-based evidence and engage in feedback-informed treatment. Different methods of calculating effect size for the same sample of clients and the same measure can lead to wide-ranging results, reducing interpretability. METHOD: Effect sizes from therapists-including those drawn from a large web-based database of practicing clinicians-were calculated using nine different methods. RESULTS: The resulting effect sizes varied significantly depending on the method employed. Differences between measurement methods routinely exceeded 0.40 for individual therapists. CONCLUSIONS: Three methods for calculating effect sizes are recommended for moderating these differences, including two equations that show promise as valid and practical methods for use by clinicians in professional practice.
OBJECTIVE: The measurement of clinical change via single-group pre-post effect size has become increasingly common in psychotherapy settings that collect practice-based evidence and engage in feedback-informed treatment. Different methods of calculating effect size for the same sample of clients and the same measure can lead to wide-ranging results, reducing interpretability. METHOD: Effect sizes from therapists-including those drawn from a large web-based database of practicing clinicians-were calculated using nine different methods. RESULTS: The resulting effect sizes varied significantly depending on the method employed. Differences between measurement methods routinely exceeded 0.40 for individual therapists. CONCLUSIONS: Three methods for calculating effect sizes are recommended for moderating these differences, including two equations that show promise as valid and practical methods for use by clinicians in professional practice.
Authors: Matthias Walter; Andrea L Ramirez; Amanda Hx Lee; Daniel Rapoport; Alex Kavanagh; Andrei V Krassioukov Journal: BMJ Open Date: 2018-11-21 Impact factor: 2.692
Authors: Edwin de Beurs; Matthijs Blankers; Philippe Delespaul; Erik van Duijn; Niels Mulder; Annet Nugter; Wilma Swildens; Bea G Tiemens; Jan Theunissen; Arno F A van Voorst; Jaap van Weeghel Journal: BMC Psychiatry Date: 2018-07-13 Impact factor: 3.630