Evidence map›Paper›PMID 39658751›Full record

ArticleBehavior research methods2024

DerLex: An eye-movement database of derived word reading in English.

Daniel Schmidtke, Julie A Van Dyke, Victor Kuperman

Abstract read
PubMed Publisher
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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

3 authors.

Daniel SchmidtkeMcMaster University, MELD Office 4045, L.R. Wilson Hall, Hamilton, ON, L8N 1E9, Canada. schmiddf@mcmaster.ca.ORCID 0000-0002-6518-9778
Julie A Van DykeHaskins Laboratories, New Haven, CT, USA.
Victor KupermanMcMaster University, MELD Office 4045, L.R. Wilson Hall, Hamilton, ON, L8N 1E9, Canada.

Funding

Visual word identification: phonology &morphologyP01HD001994 · NICHD · HASKINS LABORATORIES, INC. · PI ZEVIN, JASON D · 1985 to 2016
$23.5M
NICHD NIH HHS P01 HD001994
6 · The paper itself

Abstract

This paper introduces a new database of eye-tracking data on English derived words, DerLex. A total of 598 unique derived suffixed words were embedded in sentences and read by 357 participants representing both university convenience pools and community pools of non-college-bound adults. Besides the eye-movement record of reading derived suffixed words, the DerLex database provides the author recognition test (ART) scores for each participant, tapping into their reading proficiency, as well as multiple lexical variables reflecting distributional, orthographic, phonological, and semantic features of the words, their constituent morphemes, and morphological families. The paper additionally reports the main effects of select lexical variables and their interactions with the ART scores. It also produces estimates of statistical power and sample sizes required to reliably detect those lexical effects. While some effects are robust and can be readily detected even in a small-scale typical experiment, the over-powered DerLex database does not offer sufficient power to detect many other effects-including those of theoretical importance for existing accounts of morphological processing. We believe that both the availability of the new data resource and the limitations it provides for the planning and design of upcoming experiments are useful for future research on morphological complexity.

Indexed as

Databases, FactualEye MovementsReadingAdultEye-Tracking TechnologyFemaleHumansLanguageMaleSemanticsYoung AdultDerived wordsEye-trackingMorphologyReadingStatistical power

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.