How noisy is lexical decision?

Frontiers in Psychology

Volumn 3, Issue SEP, 2012, Pages

  Diependaele, Kevin ^a   Brysbaert, Marc ^a   Neri, Peter ^b  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

Internal noise; Lexical decision; Lexicon projects; Megastudies; Signal detection

Indexed keywords

EID: 84867091705     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2012.00348     Document Type: Article

References (35)

1. Ahumada, A. J. (2002). Classification image weights and internal noise level estimation. J. Vis. 2, 121-131.
2. Allen, P. A., Smith, A. F., Lien, M. C., Grabbe, J., and Murphy, M. D. (2005). Evidence for an activation locus of the word-frequency effect in lexical decision. J. Exp. Psychol. Hum. Percept. Perform. 31, 713-721.
3. Baayen, R. H., Davidson, D. J., and Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. J. Mem. Lang. 59, 390-412.
4. Balota, A. D., and Spieler, D. H. (1998). The utility of item-level analyses in model evaluation: a reply to Seidenberg and Plaut. Psychol. Sci. 9, 238-240.
5. Balota, D. A., and Chumbley, J. I. (1984). Are lexical decisions a good measure of lexical access? The role of the neglected decision stage. J. Exp. Psychol. Hum. Percept. Perform. 3, 340-357.
6. Balota, D. A., Yap, M. J., Cortese, M. J., Hutchison, K. A., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., and Treiman, R. (2007). The English lexicon project. Behav. Res. Methods 39, 445-459.
7. Burgess, A. E., and Colborne, B. (1988). Visual signal detection: IV. Observer inconsistency. J. Opt. Soc. Am. A 5, 617-627.
8. Davis, C. J. (2010). The spatial coding model of visual word identification. Psychol. Rev. 117, 713-758.
9. Diependaele, K., Lemhöfer, K., and Brysbaert, M. (2012). The word frequency effect in first and second language word recognition: a lexical entrenchment account. Q. J. Exp. Psychol. (in press).
10. Dufau, S., Grainger, J., and Ziegler, J. C. (2012). How to say "no" to a non-word: a leaky competing accumulator model of lexical decision. J. Exp. Psychol. Learn. Mem. Cogn. 38, 1117-1128.
11. Gibbs, P., and Van Orden, G. C. (1998). Pathway selection's utility for control of word recognition. J. Exp. Psychol. Hum. Learn. 24, 1162-1187.
12. Gold, J., Bennett, P. J., and Sekuler, A. B. (1999). Signal but not noise changes with perceptual learning. Nature 402, 176-178.
13. Grainger, J., and Jacobs, A. M. (1996). Orthographic processing in visual word recognition: a multiple readout model. Psychol. Rev. 103, 518-565.
14. Green, D. M. (1964). Consistency of auditory detection judgments. Psy- chol. Rev. 71, 392-407.
15. Green, D. M., and Swets, J. A. (1966). Signal Detection Theory and Psy- chophysics. New York: Wiley.
16. Hasan, B. A. S., Joosten, E. R. M., and Neri, P. (2012). Estimation of internal noise using double passes: does it matter how the second pass is delivered? Vision Res. (in press).
17. Keuleers, E., and Brysbaert, M. (2011). Detecting inherent bias in lexical decision experiments with the LD1NN algorithm. Ment. Lex. 6, 34-52.
18. Keuleers, E., Brysbaert, M., and New, B. (2010a). SUBTLEX-NL: a new frequency measure for Dutch words based on film subtitles. Behav. Res. Methods 42, 643-650.
19. Keuleers, E., Diependaele, K., and Brysbaert, M. (2010b). Practice effects in large-scale visual word recognition studies: a lexical decision study on 14, 000 Dutch monoand disyllabic words and non-words. Front. Psychol. 1, 174.
20. Keuleers, E., Lacey, P., Rastle, K., and Brysbaert, M. (2012). The British Lexicon Project: lexical decision data for 28, 730 monosyllabic and disyllabic English words. Behav. Res. Methods 44 287-304.
21. Krueger, L. E. (1978). A theory of perceptual masking. Psychol. Rev. 85, 278-304.
22. Kuperman, V., Drieghe, D., Keuleers, E., and Brysbaert, M. (2012). How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies. Q. J. Exp. Psychol. (in press).
23. Kuperman, V., and Van Dyke, J. A. (2012). Reassessing word frequency as a determinant of word recognition for skilled and unskilled readers. J. Exp. Psychol. Hum. Percept. Perform. (in press).
24. Li, R. W., Klein, S. A., and Levi, D. M. (2006). The receptive field and internal noise for position acuity change with feature separation. J. Vis. 6, 311-321.
25. Neri, P. (2010). How inherently noisy is human sensory processing? Psychon. Bull. Rev. 17, 802-808.
26. Neri, P., and Levi, D. M. (2006). Receptive versus perceptive fields from the reverse-correlation viewpoint. Vision Res. 46, 2465-2474.
27. Norris, D., and Kinoshita, S. (2012). Reading through a noisy channel: why there's nothing special about the perception of orthography. Psychol. Rev. 119, 517-545.
28. Pinheiro, J. C., and Bates, D. M. (2000). Mixed Effects Models in S and S-Plus. New York: Springer-Verlag.
29. Ratcliff, R. (1993). Methods for dealing with reaction time outliers. Psychol. Bull. 114, 510-532.
30. Ratcliff, R., Gomez, P., and McKoon, G. (2004). Diffusion model account of lexical decision. Psychol. Rev. 111, 159-182.
31. Rey, A., and Courrieu, P. (2010). Accounting for item variance in large-scale databases. Front. Psychol. 1:200. doi:10.3389/fpsyg.2010.00200
32. Rigby, R. A., and Stasinopoulos, D. M. (2005). Generalized additive models for location, scale and shape. Appl. Stat. 54, 507-554.
33. Schilling, H. E. H., Rayner, K., and Chumbley, J. I. (1998). Comparing naming, lexical decision, and eye fixation times: word frequency effects and individual differences. Mem. Cognit. 26, 1270-1281.
34. Seidenberg, M., and Plaut, D. C. (1998). Evaluating word reading models at the item level: matching the grain of theory and data. Psychol. Sci. 9, 234-237.
35. Yap, M. J., Balota, D. A., Sibley, D. E., and Ratcliff, R. (2012). Individual differences in visual word recognition: insights from the English lexicon project. J. Exp. Psychol. Hum. Percept. Perform. 38, 53-79.