ArticleBehavior research methods2021
Is the author recognition test a useful metric for native and non-native English speakers? An item response theory analysis.
Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Unipolar IRT and the Author Recognition Test (ART).Behavior research methods · 2024Article
- Connective Comprehension in Adults: The Influence of Lexical Transparency, Frequency, and Individual Differences.Discourse processes · 2024Article
- Effects of individual differences in text exposure on sentence comprehension.Scientific reports · 2023Article
- Testing the validity of a self-report scale, author recognition test, and book counting as measures of lifetime exposure to print fiction.Behavior research methods · 2023Article
- Segmented relations between online reading behaviors, text properties, and reader-text interactions: An eye-movement experiment.Frontiers in psychology · 2022Article
- Measuring reading behavior in large-scale assessments and surveys.Frontiers in psychology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies of reading have shown the "Matthew effect" of exposure to print on reading skill: poor readers avoid reading, and ability develops more slowly compared to peers, while good readers improve more quickly through increased exposure. Yet it is difficult to determine just how much an individual reads. The Author Recognition Test (ART, Stanovich & West Reading Research Quarterly, 24(4), 402-433, 1989) and its multilingual adaptations are often used for quantifying exposure to print and have shown high validity and reliability in proficient readers in their dominant language (L1). When studying bilingualism and second language acquisition, it is ideal to have a single test which is equally reliable for all cohorts for comparison, but it is unclear whether ART is effective for speakers of English as a foreign language (L2). This study assesses the reliability of ART in English-medium university and college students with different language backgrounds. Following Moore and Gordon (Behavior Research Methods, 47(4), 1095-1109, 2015), we use item response theory (IRT) to determine how informative the test and its items are. Results showed an expected gradient in ART performance, with L1 speakers showing higher scores than L2 speakers of English, university students showing higher scores than college students, and both cohorts performing better than students in an English as a second language (ESL) university pre-admission program. IRT analyses further revealed that ART is not an informative measure for L2 speakers of English, as most L2 participants show a floor effect. Reasons for this unreliability are discussed, as are alternative measures of print exposure.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.