Literature DB >> 32572845

CompLex: an eye-movement database of compound word reading in English.

Daniel Schmidtke1, Julie A Van Dyke2, Victor Kuperman3.   

Abstract

The CompLex database presents a large-scale collection of eye-movement studies on English compound-word processing. A combined total of 440 participants completed eye-tracking experiments in which they silently read unspaced English compound words (e.g., goalpost) embedded in sentence contexts (e.g., Dylan hit the goalpost when he was aiming for the net.). Three studies were conducted using participants representing the non-college-bound population (300 participants), and four studies included participants recruited from the student population (140 participants). The database comprises trial-level eye-movement data (47,763 trials), participant data (including a measure of reading experience estimated via the Author Recognition Test), and lexical characteristics for the set of 931 English compound words used as critical stimuli in the studies. One contribution of the present paper is a set of regression analyses conducted on the full database and individual experiments. We report that the most reliable and consistent main effects were those elicited by compound word length, left constituent frequency, right constituent frequency, compound frequency and semantic transparency. Separately, we also found that the effect of left frequency and compound word length is weaker among more frequent compounds. Another contribution is a power analysis, in which we determined the sample sizes required to reliably detect effect sizes that are comparable to those observed in our regression models. These sample size estimates serve as a recommendation for researchers wishing to either collect eye-movement data for compound word reading, or use the current database as a resource for the study of English compound word processing.

Entities:  

Keywords:  Compound words; Eye movements; Megastudy; Morphology; Psycholinguistics; Semantic transparency

Mesh:

Year:  2021        PMID: 32572845      PMCID: PMC7752842          DOI: 10.3758/s13428-020-01397-1

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  27 in total

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2.  The role of semantic transparency in the processing of English compound words.

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3.  Parafoveal processing within and between words.

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4.  BALDEY: A database of auditory lexical decisions.

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Journal:  Q J Exp Psychol (Hove)       Date:  2015-01-27       Impact factor: 2.143

Review 5.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

6.  Preview benefit in English spaced compounds.

Authors:  Michael G Cutter; Denis Drieghe; Simon P Liversedge
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2014-04-07       Impact factor: 3.051

7.  Eye fixation patterns among dyslexic and normal readers: effects of word length and word frequency.

Authors:  J Hyönä; R K Olson
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1995-11       Impact factor: 3.051

8.  When experience meets language statistics: Individual variability in processing English compound words.

Authors:  Kaitlin Falkauskas; Victor Kuperman
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2015-06-15       Impact factor: 3.051

9.  The English Lexicon Project.

Authors:  David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman
Journal:  Behav Res Methods       Date:  2007-08

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  1 in total

1.  An eye-tracking study of reading long and short novel and lexicalized compound words.

Authors:  Jukka Hyönä; Alexander Pollatsek; Minna Koski; Henri Olkoniemi
Journal:  J Eye Mov Res       Date:  2020-08-04       Impact factor: 0.957

  1 in total

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