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/.
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Bajo, M. T. (1988). Semantic facilitation with pictures and words.Journal of Experimental Psychology: Learning, Memory, & Cognition,14,579–589.
Canas, J. J. (1990). Associative strength effects in the lexical decision task.Quarterly Journal of Experimental Psychology,42, 121–145.
Cramer, P. (1968).Word association. New York: Academic Press.
Deese, J. (1965).The structure of associations in language and thought. Baltimore: Johns Hopkins University Press.
Dennis, S. (2003). A comparison of statistical models for the extraction of lexical information from text corpora. InProceedings of the Twenty-Fifth Conference of the Cognitive Science Society.http://www.cognitive sciencesociety.org/.
Gillund, G., &Shiffrin, R. M. (1984). A retrieval model for both recognition and recall.Psychological Review,91,1–67.
Griffiths, T. L., & Steyvers, M. (2002). A probabilistic approach to semantic representation. InProceedings of the Twenty-Fourth Annual Conference of Cognitive Science Society.http://www.cognitivescience society.org/.
Hutchison, K. A. (2003). Is semantic priming due to association strength or featural overlap? A microanalytic review.Psychonomic Bulletin & Review,10,785–813.
Jenkins, J. J. (1979). Four points to remember: A tetrahedral model of memory experiments. In L. S. Cermak & F. I. M. Craik (Eds.),Levels of processing in human memory (pp. 429–446). Hillsdale, NJ: Erlbaum.
Jenkins, J. J., &Palermo, D. S. (1964).Word association norms. Minneapolis: University of Minnesota Press.
Kiss, G. R., Armstrong, C. A., &Milroy, R. (1972).An associative thesaurus of English (microfilm version). Wakefield, MA: E. P. Microforms.
Kučera, H., &Francis, W. N. (1967).Computational analysis of present-day American English. Providence, RI: Brown University Press.
Landauer, T. K., &Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge.Psychological Review,105, 221–240.
Landauer, T. K., Foltz, P. W., &Laham, D. (1998). Introduction to latent semantic analyses.Discourse Processes,25, 259–284.
Lucas, M. (2000). Semantic priming without association: A meta-analytic review.Psychonomic Bulletin & Review,7,618–630.
Maki, W. S., McKinley, L. N., &Thompson, A. G. (2004). Semantic distance norms computed from an electronic dictionary (WordNet).Behavior Research Methods, Instruments, & Computers,36,421–431.
McEvoy, C. L. (1988). Automatic and strategic processes in picture naming.Journal of Experimental Psychology: Learning, Memory, & Cognition,14,618–626.
McEvoy, C. L., &Nelson, D. L. (1982). Category name and instance norms for 106 categories of various sizes.American Journal of Psychology,95,581–634.
Nelson, D. L., Dyrdal, G. M., & Goodmon, L. B. (in press). What is preexisting strength? Predicting free association probabilities, similarity ratings, and cued recall probabilities.Psychonomic Bulletin & Review.
Nelson, D. L., &Goodmon, L. B. (2002). Experiencing a word can prime its accessibility and its associative connections to related words.Memory & Cognition,30,380–398.
Nelson, D. L., &McEvoy, C. L. (1979). Encoding context and set size.Journal of Experimental Psychology: Human Learning & Memory,5, 292–314.
Nelson, D. L., McEvoy, C. L., &Dennis, S. (2000). What is free association and what does it measure?Memory & Cognition,28887–899.
Nelson, D. L., McEvoy, C. L., &Pointer, L. (2003). Spreading activation or spooky action at a distance?Journal of Experimental Psychology: Learning, Memory, & Cognition,29,42–52.
Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (1999).The University of South Florida Word Association, Rhyme and Fragment Norms [On line].http://luna.cas.usf.edu/~nelson/.
Nelson, D. L., McKinney, V. M., Gee, N. R., &Janczura, G. A. (1998). Interpreting the influence of implicitly activated memories on recall and recognition.Psychological Review,105,299–324.
Nelson, D. L., &Schreiber, T. A. (1992). Word concreteness and word structure as independent determinants of recall.Journal of Memory & Language,31237–260.
Nelson, D. L., &Zhang, N. (2000). The ties that bind what is known to the recall of what is new.Psychonomic Bulletin & Review,7,604–617.
Reich, R. R., & Goldman, M. S. (in press). Exploring the alcohol expectancy memory network: The utility of free associates.Psychology of Addictive Behaviors.
Stacy, A. W. (1997). Memory activation and expectancy as prospective predictors of alcohol and marijuana use.Journal of Abnormal Psychology,106,61–73.
Steyvers, M., Shiffrin, R. M., & Nelson, D. L. (in press). Word association spaces for predicting semantic similarity effects in episodic memory. In A. Healy (Ed.),Cognitive psychology and its applications: Festschrift in honor of Lyle Bourne, Walter Kintsch, and Thomas Landauer. Washington, DC: American Psychological Association.
Steyvers, M. & Tenenbaum, J. (in press). Graph theoretic analyses of semantic networks: Small worlds in semantic networks.Cognitive Science.
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This research was supported by Grant MH16360 from the National Institute of Mental Health to D.L.N. and by Grants MH45207 and AG13973 to C.L.M.
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Nelson, D.L., McEvoy, C.L. & Schreiber, T.A. The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers 36, 402–407 (2004). https://doi.org/10.3758/BF03195588
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DOI: https://doi.org/10.3758/BF03195588