Evidence map›Paper›PMID 25485938›Full record

ArticlePloS one2014

Understanding and using the brief Implicit Association Test: recommended scoring procedures.

Brian A Nosek, Yoav Bar-Anan, N Sriram, Jordan Axt, Anthony G Greenwald

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Are You a Closet Dualist? Evidence From Brief Implicit Association Task.Open mind : discoveries in cognitive science · 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

5 authors.

Brian A NosekUniversity of Virginia, Charlottesville, VA, United States of America; Center for Open Science, Charlottesville, VA, United States of America.
Yoav Bar-AnanBen-Gurion University of the Negev, Beer-Sheva, Israel.
N SriramImplisci, Charlottesville, VA, United States of America.
Jordan AxtUniversity of Virginia, Charlottesville, VA, United States of America.
Anthony G GreenwaldUniversity of Washington, Seattle, WA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A brief version of the Implicit Association Test (BIAT) has been introduced. The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time. The data transformation algorithms D outperformed other approaches. This replicates and extends the strong prior performance of D compared to conventional analytic techniques. We conclude with recommended analytic practices for standard use of the BIAT.

Indexed as

AttitudeComprehensionPsychological TestsFemaleHumansMale

Identifiers

PMID25485938
PMCPMC4259300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.