Evidence map›Paper›PMID 38195789›Full record

ArticleBehavior research methods2024

Some students are more equal: Performance in Author Recognition Test and Title Recognition Test modulated by print exposure and academic background.

Marion Hug, Julian Jarosch, Christiane Eichenauer, Selina Pennella, Franziska Kretzschmar, Pascal Nicklas

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In one paragraph

Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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3 · Its place in the literature

Who cites 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

6 authors.

Marion HugDepartment of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany.
Julian JaroschAcademy of Sciences and Literature, Mainz, Germany.
Christiane EichenauerDepartment of English and Linguistics, Johannes Gutenberg University Mainz, Mainz, Germany.
Selina PennellaGutenberg Institute for World Literature and Written Media, Johannes Gutenberg University Mainz, Mainz, Germany.
Franziska KretzschmarDepartment of Grammar, Leibniz-Institute for the German Language, Mannheim, Germany.
Pascal NicklasInstitute of Anatomy, Neuroimaging Center (NIC), University Medical Center Campus, Building 308 C, Langenbeckstrasse 1, 55131, Mainz, Germany. nicklap@uni-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reading is a key skill for university students. The Author Recognition Test (ART) and the Title Recognition Test (TRT) have both been used for decades to measure print exposure which correlates with reading and other linguistic skills. Given the available evidence for interindividual differences in reading skills, this study addresses three open issues. First, to what extent do ART and TRT scores correlate with individual differences regarding students' study programs? Second, how do these results correlate with the self-reported time spent reading different types of text genres (e.g., fiction, nonfiction) per week? And third, this study compares ART and TRT to one another. We tested students from six study programs in the humanities and (medical) sciences which vary in the amount and kind of reading material required for study success. We found that students perform significantly differently in the ART and the TRT depending on their field of study. Students in a study program focusing on fiction and literature perform best overall. We also replicated the well-known effect of age on ART and TRT scores: older students have better scores. We did not find reliable effects of reading time on test performance, whereas individual creative writing habits did positively predict ART/TRT test results. These results raise a number of important questions regarding the ART/TRT in general and regarding interindividual differences in personal reading and writing habits and the change in reading habits in times of media convergence.

Indexed as

ReadingRecognition, PsychologyStudentsAdolescentAdultFemaleHumansMaleUniversitiesYoung AdultAuthor recognition testIndividual differencesPrint exposureReadingTitle recognition test

Identifiers

PMID38195789
PMCPMC11335832

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LicenceCC BY
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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.