Evidence map›Paper›PMID 29154577›Full record

ArticleJournal of counseling psychology2017

Confounding in statistical mediation analysis: What it is and how to address it.

Matthew J Valente, William E Pelham, Heather Smyth, David P MacKinnon

Registry-linked trialAbstract read
In one paragraph

Article in Journal of counseling psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05879198 (Train Your Brain), which is not on this map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05879198 nacompletednot on this mapstarted 2023, after this paper: background citation

Train Your Brain: A Pilot Project to Improve Memory and Decision Making to Improve Outcomes Among Youth

TypeinterventionalSponsorHenry Ford Health SystemRan2023 to 2023Enrolled23ConditionsBehavior, HealthArmsComputer-based Intervention
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. A Systematic Review of the Reporting Quality of Observational Studies That Use Mediation Analyses.Prevention science : the official journal of the Society for Prevention Research · 2022
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  11. Mechanisms of Change in Exposure Therapy for Anxiety and Related Disorders: A Research Agenda.Clinical psychological science : a journal of the Association for Psychological Science · 2025
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  16. Practical challenges in mediation analysis: a guide for applied researchers.Health services & outcomes research methodology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthew J ValenteDepartment of Psychology, Arizona State University.
William E PelhamDepartment of Psychology, Arizona State University.
Heather SmythDepartment of Psychology, Arizona State University.
David P MacKinnonDepartment of Psychology, Arizona State University.ORCID 0000-0003-0866-6010

Funding

Research training in substance use prevention: Closing the research-practice gapT32DA039772 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Cady Berkel, Nancy A. Gonzales · 2015 to 2026
$4.2M
Estimating Mediation Effects in Prevention StudiesR37DA009757 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MACKINNON, DAVID P · 2015 to 2024
$3.5M
Modern Longitudinal Mediation Methods for Prevention StudiesF31DA043317 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI VALENTE, MATTHEW JOHN · 2017 to 2018
$65k
National Institute on Drug AbuseNIDA NIH HHS F31 DA043317NIDA NIH HHS R37 DA009757NIDA NIH HHS T32 DA039772
6 · The paper itself

Abstract

Psychology researchers are often interested in mechanisms underlying how randomized interventions affect outcomes such as substance use and mental health. Mediation analysis is a common statistical method for investigating psychological mechanisms that has benefited from exciting new methodological improvements over the last 2 decades. One of the most important new developments is methodology for estimating causal mediated effects using the potential outcomes framework for causal inference. Potential outcomes-based methods developed in epidemiology and statistics have important implications for understanding psychological mechanisms. We aim to provide a concise introduction to and illustration of these new methods and emphasize the importance of confounder adjustment. First, we review the traditional regression approach for estimating mediated effects. Second, we describe the potential outcomes framework. Third, we define what a confounder is and how the presence of a confounder can provide misleading evidence regarding mechanisms of interventions. Fourth, we describe experimental designs that can help rule out confounder bias. Fifth, we describe new statistical approaches to adjust for measured confounders of the mediator-outcome relation and sensitivity analyses to probe effects of unmeasured confounders on the mediated effect. All approaches are illustrated with application to a real counseling intervention dataset. Counseling psychologists interested in understanding the causal mechanisms of their interventions can benefit from incorporating the most up-to-date techniques into their mediation analyses. (PsycINFO Database Record

Indexed as

Confounding Factors, EpidemiologicBiasHumansNegotiatingResearch Design

Identifiers

PMID29154577
PMCPMC5726285

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.