Abstract
Attribute-treatment interaction (ATI) research attempts to answer the question, “Which treatment is best for whom?” Recent critical reviewers of ATI methodology have cited numerous pragmatic and methodological shortcomings of traditional experimental designs and argued that successful ATI research will require an alternative approach. This manuscript describes a purely correlational ATI method that addresses the more serious criticisms of experimental ATI research. This paper also presents use of the allocation average for ATI research that is either experimental or correlational in nature. The allocation average estimates the clinical utility of differential treatment assignment based on ATI data in terms of improved treatment outcomes. The proposed method is illustrated with hypothetical psychotherapy data and data from a recent educational study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.