Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment

Linda Marie Collins, Jessica B. Trail, Kari Christine Kugler, Timothy B. Baker, Megan E. Piper, Robin J. Mermelstein

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

The multiphase optimization strategy (MOST) is a framework for not only evaluating but also optimizing behavioral interventions. A tool critical for MOST is the screening experiment, which enables efficient gathering of information for deciding which components to include in an optimized intervention. This article outlines a procedure for making decisions based on data from a factorial screening experiment. The decision making procedure is illustrated with artificial data generated to resemble empirical data. The illustration suggests that this approach is useful for selecting intervention components and settings based on the results of a factorial screening experiment. It is important to develop methods for making decisions based on factorial screening experiments. The approach demonstrated here is potentially useful, but has limited generalizability. Future research should develop additional decision making procedures for a variety of situations.

Original languageEnglish (US)
Pages (from-to)238-251
Number of pages14
JournalTranslational Behavioral Medicine
Volume4
Issue number3
DOIs
StatePublished - Jan 1 2014

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Decision Making

All Science Journal Classification (ASJC) codes

  • Applied Psychology
  • Behavioral Neuroscience

Cite this

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Evaluating individual intervention components : making decisions based on the results of a factorial screening experiment. / Collins, Linda Marie; Trail, Jessica B.; Kugler, Kari Christine; Baker, Timothy B.; Piper, Megan E.; Mermelstein, Robin J.

In: Translational Behavioral Medicine, Vol. 4, No. 3, 01.01.2014, p. 238-251.

Research output: Contribution to journalArticle

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