1995
DOI: 10.1037/0022-006x.63.6.1044
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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 … Show more

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Cited by 179 publications
(175 citation statements)
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“…Mean values were computed from the eight abstinent ratings of each withdrawal measure, whereas empirical Bayes estimates of linear slope (Oberfeld & Franke, 2013;Speer & Greenbaum, 1995) were computed from all nine ratings (baseline plus the eight abstinent ratings) of each withdrawal measure. To test the main effects of abstinence, dependent sample t tests compared mean abstinent values to nonabstinent baseline values, and one-sample t tests evaluated slope values for significant departure from zero.…”
Section: Discussionmentioning
confidence: 99%
“…Mean values were computed from the eight abstinent ratings of each withdrawal measure, whereas empirical Bayes estimates of linear slope (Oberfeld & Franke, 2013;Speer & Greenbaum, 1995) were computed from all nine ratings (baseline plus the eight abstinent ratings) of each withdrawal measure. To test the main effects of abstinence, dependent sample t tests compared mean abstinent values to nonabstinent baseline values, and one-sample t tests evaluated slope values for significant departure from zero.…”
Section: Discussionmentioning
confidence: 99%
“…This index determines the probability of substantial individual change and avoids the problem of regression to the mean. Based on the scale reliability and the 95 % confidence interval (CI) of the mean score at T0, the index computes whether a significant change has occurred between T0 and T1 (Speer and Greenbaum 1995). The sum of the binary scores created an overall score of physical functional decline.…”
Section: Physical Declinementioning
confidence: 99%
“…In contrast, effect sizes for differences in response coherence were all large. This discrepancy in effect sizes may reflect well-documented advantages of growth curve modeling, which HLM uses in the Level 1 models, over more traditional approaches to evaluating group differences in repeated measures over time (e.g., Rogosa, Brandt, & Zimowski, 1982;Speer & Greenbaum, 1995). If this is the case, evaluations of response coherence using multilevel modeling may offer an advantage over traditional methods in differentiating among clinical groups using physiological markers.…”
Section: Nih-pa Author Manuscriptmentioning
confidence: 99%