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PubMed · 8543708

Five methods for computing significant individual client change and improvement rates: support for an individual growth curve approach.

D C Speer·P E Greenbaum
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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.

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Adaptation, PsychologicalAdultAgedFemaleHumansIndividualityMaleMiddle AgedModels, StatisticalPersonality AssessmentPersonality DevelopmentPsychometricsPsychotherapyQuality of LifeTreatment OutcomeComparative StudyJournal Article

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D C Speer, P E Greenbaum. 1995. Five methods for computing significant individual client change and improvement rates: support for an individual growth curve approach.. https://doi.org/10.1037/%2F0022-006x.63.6.1044

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