Evidence map›Paper›PMID 29962272›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018

Reducing "I Don't Know" Responses and Missing Survey Data: Implications for Measurement.

Deanna C Denman, Austin S Baldwin, Andrea C Betts, Amy McQueen, Jasmin A Tiro

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

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0cells of the map it votes in
32citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  7. Development and initial validation of the health-related quality of life pictorial inventory for children (HEALTH-PIC).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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  20. Hierarchical Bayesian non-response models for error rates in forensic black-box studies.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
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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

5 authors.

Deanna C DenmanDepartment of Psychology, Southern Methodist University, Dallas, TX, USA.
Austin S BaldwinDepartment of Psychology, Southern Methodist University, Dallas, TX, USA.
Andrea C BettsDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-0884-6513
Amy McQueenDivision of General Medical Sciences, School of Medicine, Institute for Public Health, Washington University in St. Louis, St. Louis, MO, USA.
Jasmin A TiroDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
Developing a self-persuasion intervention promoting adolescent HPV vaccinationR01CA178414 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI BALDWIN, AUSTIN S, TIRO, JASMIN ANITA · 2013 to 2017
$2.3M
NCATS NIH HHS UL1 TR001105NCI NIH HHS P30 CA142543NCI NIH HHS R01 CA178414NCI NIH HHS R25 CA057712
6 · The paper itself

Abstract

background"I don't know" (DK) responses are common in health behavior research. Yet analytic approaches to managing DK responses may undermine survey validity and researchers' ability to interpret findings.

objectiveCompare the usefulness of a methodological strategy for reducing DK responses to 3 analytic approaches: 1) excluding DKs as missing data, 2) recoding them to the neutral point of the response scale, and 3) recoding DKs with the mean.

methodsWe used a 4-group design to compare a methodological strategy, which encourages use of the response scale after an initial DK response, to 3 methods of analytically treating DK responses. We examined 1) whether this methodological strategy reduced the frequency of DK responses, and 2) how the methodological strategy compared to common analytic treatments in terms of factor structure and strength of correlations between measures of constructs.

resultsThe prompt reduced DK response frequency (55.7% of 164 unprompted participants vs. 19.6% of 102 prompted participants). Factorial invariance analyses suggested equivalence in factor loadings for all constructs throughout the groups. Compared to excluding DKs, recoding strategies and use of the prompt improved the strength of correlations between constructs, with the prompt resulting in the strongest correlations (.589 for benefits and intentions, .446 for perceived susceptibility and intentions, and .329 for benefits and perceived susceptibility). LIMITATIONS: This study was not designed a priori to test methods for addressing DK responses. Our analysis was limited to an interviewer-administered survey, and interviewers did not probe about reasons for DK responses.

conclusionFindings suggest that use of a prompt to reduce DK responses is preferable to analytic approaches to treating DK responses. Use of such prompts may improve the validity of health behavior survey research.

Indexed as

Data Interpretation, StatisticalHealth BehaviorAdolescentAdultAgedChildData AccuracyDecision MakingDecision Support TechniquesFemaleHumansMaleMiddle AgedMotivationPerceptionSocioeconomic FactorsDK responseshealth behaviormethodological strategysurvey datavalidity

Identifiers

PMID29962272
PMCPMC6076331

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Registered trials

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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.