The University of South Florida Free Association, Rhyme, and Word Fragment Norms
Document Type
Article
Publication Date
2004
Keywords
Latent Semantic Analysis, Free Association, Normed Word, Associative Structure, Connectivity Strength
Digital Object Identifier (DOI)
https://doi.org/10.3758/BF03195588
Abstract
Preexisting word knowledge is accessed in many cognitive tasks, and this article offers a means for indexing this knowledge so that it can be manipulated or controlled. We offer free association data for 72,000 word pairs, along with over a million entries of related data, such as forward and backward strength, number of competing associates, and printed frequency. A separate file contains the 5,019 normed words, their statistics, and thousands of independently normed rhyme, stem, and fragment cues. Other files providen × n associative networks for more than 4,000 words and a list of idiosyncratic responses for each normed word. The database will be useful for investigators interested in cuing, priming, recognition, network theory, linguistics, and implicit testing applications. They also will be useful for evaluating the predictive value of free association probabilities as compared with other measures, such as similarity ratings and co-occurrence norms. Of several procedures for measuring preexisting strength between two words, the best remains to be determined. The norms may be downloaded fromwww.psychonomic.org/archive/.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Behavior Research Methods, Instruments, & Computers, v. 36, p. 402-407
Scholar Commons Citation
Nelson, Douglas L.; McEvoy, Cathy L.; and Schreiber, Thomas A., "The University of South Florida Free Association, Rhyme, and Word Fragment Norms" (2004). Psychology Faculty Publications. 2437.
https://digitalcommons.usf.edu/psy_facpub/2437