Evidence map›Paper›PMID 36357481›Full record

ArticleScientific reports2022

Large studies reveal how reference bias limits policy applications of self-report measures.

Benjamin Lira, Joseph M O'Brien, Pablo A Peña, Brian M Galla, Sidney D'Mello, David S Yeager, Amy Defnet, Tim Kautz, Kate Munkacsy, Angela L Duckworth

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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.

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

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

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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

10 authors.

Benjamin Lira *University of Pennsylvania, Philadelphia, USA. blira@sas.upenn.edu.
Joseph M O'Brien *University of Texas at Austin, Austin, USA.
Pablo A PeñaUniversity of Chicago, Chicago, USA.
Brian M GallaUniversity of Pittsburgh, Pittsburgh, USA.
Sidney D'MelloUniversity of Colorado-Boulder, Boulder, USA.
David S YeagerUniversity of Texas at Austin, Austin, USA.
Amy DefnetMathematica, Inc., Princeton, USA.
Tim KautzMathematica, Inc., Princeton, USA.
Kate MunkacsyMathematica, Inc., Princeton, USA.
Angela L DuckworthUniversity of Pennsylvania, Philadelphia, USA.

Funding

Estimating and Understanding Effects of Teaching Teens That People Can ChangeR01HD084772 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI YEAGER, DAVID S · 2015 to 2019
$3.0M
NICHD NIH HHS R01 HD084772
6 · The paper itself

Abstract

There is growing policy interest in identifying contexts that cultivate self-regulation. Doing so often entails comparing groups of individuals (e.g., from different schools). We show that self-report questionnaires-the most prevalent modality for assessing self-regulation-are prone to reference bias, defined as systematic error arising from differences in the implicit standards by which individuals evaluate behavior. In three studies, adolescents (N = 229,685) whose peers performed better academically rated themselves lower in self-regulation and held higher standards for self-regulation. This effect was not observed for task measures of self-regulation and led to paradoxical predictions of college persistence 6 years later. These findings suggest that standards for self-regulation vary by social group, limiting the policy applications of self-report questionnaires.

Indexed as

PolicySchoolsAdolescentBiasHumansSelf ReportSurveys and Questionnaires

Identifiers

PMID36357481
PMCPMC9649615

What OpenQuestion holds

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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.