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| Content Provider | Springer Nature Link |
|---|---|
| Author | Kuperman, Victor Stadthagen Gonzalez, Hans Brysbaert, Marc |
| Copyright Year | 2012 |
| 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. |
| Starting Page | 978 |
| Ending Page | 990 |
| Page Count | 13 |
| File Format | |
| ISSN | 07433808 |
| Journal | Behavior Research Methods |
| Volume Number | 44 |
| Issue Number | 4 |
| e-ISSN | 15543528 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-05-12 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Word recognition Age of acquisition Ratings Amazon Mechanical Turk Cognitive Psychology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Experimental and Cognitive Psychology 3200/3201 Psychology |
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