Cited by 216Psychotherapy Techniques and ApplicationsPsychometric Methodologies and TestingStatistical Methods and Bayesian Inference

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

Speer, David C., Greenbaum, Paul E.·1995·Journal of Consulting and Clinical Psychology

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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Crossref · 10.1037/0022-006x.63.6.1044

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  • The Reliable Change Index is a recommended method to ensure that the difference in scores is not simply due to measurement error.

    “This is a recommended method to ensure that the difference in scores is not simply due to measurement error [38].”

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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
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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