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Screening experiments and the use of fractional factorial designs in behavioral intervention research

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  • Nair, V.
  • Strecher, V.
  • Fagerlin, A.
  • Ubel, P.
  • Resnicow, K.
  • Murphy, S.
  • Little, R.
  • Chakraborty, B.
  • Zhang, A.

Abstract

Health behavior intervention studies have focused primarily on comparing new programs and existing programs via randomized controlled trials. However, numbers of possible components (factors) are increasing dramatically as a result of developments in science and technology (e.g., Web-based surveys). These changes dictate the need for alternative methods that can screen and quickly identify a large set of potentially important treatment components. We have developed and implemented a multiphase experimentation strategy for accomplishing this goal. We describe the screening phase of this strategy and the use of fractional factorial designs (FFDs) in studying several components economically. We then use 2 ongoing behavioral intervention projects to illustrate the usefulness of FFDs. FFDs should be supplemented with follow-up experiments in the refining phase so any critical assumptions about interactions can be verified.

Suggested Citation

  • Nair, V. & Strecher, V. & Fagerlin, A. & Ubel, P. & Resnicow, K. & Murphy, S. & Little, R. & Chakraborty, B. & Zhang, A., 2008. "Screening experiments and the use of fractional factorial designs in behavioral intervention research," American Journal of Public Health, American Public Health Association, vol. 98(8), pages 1354-1359.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2007.127563_5
    DOI: 10.2105/AJPH.2007.127563
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    Cited by:

    1. Rachel E. Davis & Frederick G. Conrad & Shaohua Dong & Anna Mesa & Sunghee Lee & Timothy P. Johnson, 2024. "An ounce of prevention: using conversational interviewing and avoiding agreement response scales to prevent acquiescence," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 471-495, February.
    2. Daniel Kassler & Ira Nichols-Barrer & Mariel Finucane, "undated". "Beyond "Treatment versus Control": How Bayesian Analysis Makes Factorial Experiments Feasible in Education Research," Mathematica Policy Research Reports 58782fcdf93d4edbb20f89f81, Mathematica Policy Research.

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