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Cited by 30Advanced Causal Inference TechniquesHealth Policy Implementation ScienceEvaluation and Performance Assessment

Exploring Connections Between Moderators and Mediators: Commentary on Subgroup Analyses in Intervention Research

Rothman, Alexander J.·2013·Prevention Science
DOI 10.1007/s11121-012-0333-y
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Abstract

Although subgroup analyses, and moderator analyses more generally, in intervention research are fraught with analytic and conceptual challenges, they provide invaluable insights into the effectiveness of intervention strategies and the theoretical models upon which they rest. The papers in this Special Issue engage these challenges and offer investigators a set of strategies that will enhance how they think about, measure, test, and report evidence of moderated intervention effects. In this commentary, I echo the call for more thoughtful work on moderated intervention effects and, in particular, urge investigators to pursue opportunities to integrate questions regarding mediation as they work to specify how intervention strategies operate across populations, settings, and behavioral domains.

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Crossref · 10.1007/s11121-012-0333-y

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  • Individual and contextual differences can moderate when a behavioral intervention will produce its targeted effect.

    “As implied by behavioral ecological models (e.g., [8]), individual and contextual differences (e.g., when, where, for whom, in what state of the person) can moderate when a behavioral intervention will produce its targeted effect [9].”

    From Agile science: creating useful products for behavior change in the real world (2016) · cites this paper as [9]

  • The four-phase model ignores variations of units, treatments, outcomes, and settings until the end of the process, but it is highly feasible that when, where, for whom, and in what state of the individual can all moderate when an intervention will produce an effect.

    “As such, the four-phase model ignores variations of units, treatments, outcomes, and settings until the end of the process but it is highly feasible that when, where, for whom, and in what state of the individual can all moderate when an intervention will produce an effect [9].”

    From Agile science: creating useful products for behavior change in the real world (2016) · cites this paper as [9]

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Authors
Rothman, A. J.
Affiliations
University of Minnesota (US)
Corresponding author
Rothman, Alexander J.
ORCID
Rothman, Alexander J.
Venue
Prevention Science
Publisher
Springer Science and Business Media LLC
Published
2012-09-25
Volume
14
Issue
2
Pages
189-192
ISSN
  • 1389-4986 (ISSN-L)
  • 1573-6695
DOI
10.1007/s11121-012-0333-y
OpenAlex
W2102143491
Cited by
30
References
24
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 6 · 2018: 3 · 2017: 1 · 2016: 4 · 2015: 1 · 2014: 4 · 2013: 2 · 2012: 1
FWCI
2.45
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Prevention Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
Keywords
subgroup analysis, moderator analysis, mediation analysis, intervention effectiveness, mediators and moderators, intervention strategies
MeSH terms
Humans, Health Behavior, Observer Variation

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