Evidence map›Paper›PMID 42191982›Full record

ArticleBehavior research methods2026

The benefits of in situ reporting: Experimental evidence from in-the-moment surveys of public transit riders.

Christopher Antoun, Vanessa Frías-Martínez, Anthony Garove, Naman Awasthi, Saad Mohammad Abrar

Abstract read
In one paragraph

Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Christopher AntounCollege of Information, University of Maryland, 4130 Campus Drive, College Park, MD, 20742, USA. antoun@umd.edu.
Vanessa Frías-MartínezCollege of Information, University of Maryland, 4130 Campus Drive, College Park, MD, 20742, USA.
Anthony GaroveJoint Program in Survey Methodology, University of Maryland, College Park, MD, USA.
Naman AwasthiDepartment of Computer Science, University of Maryland, College Park, MD, USA.
Saad Mohammad AbrarDepartment of Computer Science, University of Maryland, College Park, MD, USA.

Funding

National Science Foundation 303376
6 · The paper itself

Abstract

In-the-moment surveys administered when respondents participate in a predetermined event of interest-such as visiting a particular location or completing a specific activity-allow researchers to measure behaviors and experiences as the event occurs, situating data collection within the relevant context and reducing reliance on retrospective self-reports. However, data quality can be compromised if individuals are unwilling to participate or provide low-quality responses. In particular, the timing of survey prompts and the structure of incentives may affect data quality. We evaluated these issues in an experimental study of 610 individuals who used a custom smartphone app to answer a survey about each of their public transit trips over 2 weeks. Participants were randomly assigned to receive either daily or per-survey incentives, with surveys administered either during trips (in situ) or immediately afterward (near-time). Both daily incentives and in situ prompts significantly increased participation. In situ prompts also reduced "speeding" and increased the variation in survey responses across trips, suggesting improved accuracy in capturing event-specific details. These findings demonstrate that prompt timing-specifically, in situ prompts as opposed to near-time prompts-plays a key role in enhancing data quality for in-the-moment surveys.

Indexed as

TransportationAdultData AccuracyFemaleHumansMaleMiddle AgedMobile ApplicationsMotivationSmartphoneSurveys and QuestionnairesYoung AdultIn situ measurementIn-the-moment surveysReal-time data collectionSmartphone surveysSurvey Incentives

Identifiers

PMID42191982
PMCPMC13212651

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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.