Abstract
We present a new database of Dutch word recognition times for a total of 54 thousand words, called the Dutch Crowdsourcing Project. The data were collected with an internet vocabulary test. The database is limited to native Dutch speakers. Participants were asked to indicate which words they knew. Their response times were registered, even though the participants were not asked to respond as fast as possible. Still, the response times correlate around .7 with the response times of the Dutch Lexicon Projects for shared words. Also results of virtual experiments indicate that the new response times are a valid addition to the Dutch Lexicon Projects. This not only means that we have useful response times for some 20 thousand extra words, but we now also have data on differences in response latencies as a function of education and age. The new data correspond better to word use in the Netherlands.
Highlights
Word features are characteristics inherent to words
We present a new word database, the Dutch Crowdsourcing Project (DCP), which is larger than the available datasets
The database was collected by means of an internet vocabulary test, in which participants indicated which words they know and which not
Summary
You cannot manipulate them at will (Lewis & Vladeanu, 2006). Multiple regression analysis (and to a lesser extent, structural equation modelling) has become an essential part of psycholinguistic research, in addition to factorial designs where small-scale samples of stimuli are selected and matched on a series of control variables (Baayen, Feldman, & Schreuder, 2006; Balota, Cortese, Sergent-Marshall, Spieler, & Yap, 2004; Lewis & Vladeanu, 2006; Liben-Nowell, Strand, Sharp, Wexler, & Woods, 2019). Researchers in several languages have invested in the collection of large databases of word processing times
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