Five methods for computing significant individual client change and improvement rates: Support for an individual growth curve approach.
- 1 January 1995
- journal article
- research article
- Published by American Psychological Association (APA) in Journal of Consulting and Clinical Psychology
- Vol. 63 (6) , 1044-1048
- https://doi.org/10.1037//0022-006x.63.6.1044
Abstract
Interest has been renewed in methods for determining individual client change. Currently, there are at least 4 pretreatment-posttreatment (pre-post) difference score methods. A 5th method, based on a random effects model and multiwave data, represents a growth curve approach and was hypothesized to be more sensitive to detecting significant (p < .05) change than the pre-post methods. The change rates produced by the 5 methods were compared in a sample of 73 older outpatients with 3 to 5 assessments per client on a measure of well-being (H. J. Dupuy, 1977). Results indicated that the growth curve approach improvement rate was the highest (68.5%). The growth curve and the Edwards-Nunnally (63.0%) methods produced significantly (p < .05) higher improvement rates than the other 3 methods, with 1 exception.Keywords
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