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Treatment of Aptitude × Treatment Interactions.

Authors: Bradley H. Smith; Lee Sechrest;

Treatment of Aptitude × Treatment Interactions.

Abstract

The main effects in psychotherapy research have been smaller than expected. Rather than concluding that psychotherapy has weak effects, clinical researchers have argued that average effect sizes are reduced because of mismatches between clients and treatment. Hence, Aptitude X Treatment interaction (ATI) research has been viewed as a promising new frontier in psychotherapy research. If ATI research is to become a productive and progressive program, then researchers will need to focus their attention on interesting and meaningful ATIs. This will require greater theoretical precision and a stronger emphasis on construct validity. Specific issues addressed in this article include Type II and Type III errors, manipulation checks from both the patient and practitioner perspective, considerations of the strength of treatment, the need to test rival hypotheses, and the desirability of collaborative research.

Related Organizations
Keywords

Psychotherapy, Research, Individuality, Aptitude, Humans, Follow-Up Studies

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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
99
Top 10%
Top 1%
Top 10%
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