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Five methods for computing significant individual client change and improvement rates: Support for an individual growth curve approach
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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“This is a recommended method to ensure that the difference in scores is not simply due to measurement error [38].”
From A pilot evaluation of a smartphone application for workplace depression (2020) · cites this paper as [38]
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Metadata
- Authors
- Speer, D. C., & Greenbaum, P. E.
- Affiliations
- University of South Florida (US)
- Venue
- Journal of Consulting and Clinical Psychology
- Published
- 1995
- Volume
- 63
- Issue
- 6
- Pages
- 1044-1048
- ISSN
- 0022-006X (ISSN-L)
- 1939-2117
- OpenAlex
- W1975693163
- Cited by
- 216
- References
- 0
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 6 · 2019: 10 · 2018: 8 · 2017: 6 · 2016: 8 · 2015: 13 · 2014: 13 · 2013: 13 · 2012: 6
- FWCI
- 4.97
- Type
- journal article
- Language
- en
- Update notices
- correction (2007-12-01)
- Open access
- closed
- Locations
- Journal of Consulting and Clinical Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- growth curve analysis, random effects models, well-being, treatment outcome assessment
- MeSH terms
- Adaptation, Psychological, Adult, Aged, Female, Humans, Individuality, Male, Middle Aged, Personality Assessment, Personality Development, Psychometrics, Psychotherapy, Quality of Life, Models, Statistical, Treatment Outcome
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