Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/22967
Title: | Age-of-acquisition ratings for 30,000 English words |
Authors: | Kuperman, Victor Stadthagen-Gonzalez, H. Brysbaert, M. |
Department: | None |
Keywords: | Word recognition;Age of acquisition;Ratings;Amazon Mechanical Turk |
Publication Date: | May-2012 |
Publisher: | Springer |
Citation: | Kuperman, V., Stadthagen-Gonzalez, H., & Brysbaert, M. (2012). Age-of-acquisition ratings for 30,000 English words. Behavior Research Methods, 44, 978–990. https://doi.org/10.3758/s13428-012-0210-4 |
Abstract: | We present age-of-acquisition (AoA) ratings for 30,121 English content words (nouns, verbs, and adjectives). For data collection, this megastudy used the Web-based crowdsourcing technology offered by the Amazon Mechanical Turk. Our data indicate that the ratings collected in this way are as valid and reliable as those collected in laboratory conditions (the correlation between our ratings and those collected in the lab from U.S. students reached .93 for a subsample of 2,500 monosyllabic words). We also show that our AoA ratings explain a substantial percentage of the variance in the lexical-decision data of the English Lexicon Project, over and above the effects of log frequency, word length, and similarity to other words. This is true not only for the lemmas used in our rating study, but also for their inflected forms. We further discuss the relationships of AoA with other predictors of word recognition and illustrate the utility of AoA ratings for research on vocabulary growth. |
URI: | http://hdl.handle.net/11375/22967 |
Identifier: | https://doi.org/10.3758/s13428-012-0210-4 |
Appears in Collections: | Representative Publications from ARiEAL |
Files in This Item:
File | Description | Size | Format | |
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Kuperman et al, 2012, Behavior Research Methods.pdf | Kuperman et al, 2012 (Research Article) | 1.04 MB | Adobe PDF | View/Open |
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