A mega recognition memory study of 2897 disyllabic words

Quarterly Journal of Experimental Psychology

Volumn 68, Issue 8, 2015, Pages 1489-1501

  Cortese, Michael J ^a   McCarty, Daniel P ^a   Schock, Jocelyn ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

Megastudy; Recognition memory

Indexed keywords

ADOLESCENT; ADULT; AGE; FEMALE; HUMAN; IMAGINATION; LEARNING; LINGUISTICS; MALE; PHONETICS; PHOTOSTIMULATION; PHYSIOLOGY; RECOGNITION; SEMANTICS; STATISTICS; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; FEMALE; HUMANS; IMAGINATION; MALE; PHONETICS; PHOTIC STIMULATION; RECOGNITION (PSYCHOLOGY); SEMANTICS; STATISTICS AS TOPIC; VERBAL LEARNING; VOCABULARY; YOUNG ADULT;

EID: 84936846853     PISSN: 17470218     EISSN: 17470226     Source Type: Journal    
DOI: 10.1080/17470218.2014.945096     Document Type: Article

References (43)

1. J.S.Adelman,, & Z.Estes, (2013). Emotion and memory: A recognition advantage for positive and negative words independent of arousal. Cognition, 129, 530–535. doi:10.1016/j.cognition.2013.08.014
2. D.A.Balota,, G.Burgess,, M.J.Cortese,, & D.A.Adams, (2002). The Word-Frequency Mirror Effect in young, old, and early-stage Alzheimer's disease: Evidence for two processes in episodic recognition performance. Journal of Memory and Language, 46, 199–226. doi:10.1006/jmla.2001.2803
3. D.A.Balota,, & J.H.Neely, (1980). Test-expectancy and word-frequency effects in recall and recognition. Journal of Experimental Psychology: Human Learning and Memory, 6, 576–587.
4. D.A.Balota,, & D.H.Spieler, (1998). The utility of item-level analyses in model evaluation: A reply to Seidenberg & Plaut. Psychological Science, 9(3), 238–240. doi:10.1111/1467-9280.00047
5. D.A.Balota,, M.J.Yap,, M.J.Cortese,, K.A.Hutchison,, B.Kessler,, B.Loftis,, J.H.Neely,, D.L.Nelson,, G.B.Simpson,, & R.Treiman, (2007). The English lexicon project. Behavior Research Methods, 39, 445–459. doi:10.3758/BF03193014
6. D.Besner,, & D.C.Bourassa, (1995, June). Localist and parallel processing models of visual word recognition: A few more words. Paper presented at the annual meeting of the Canadian Brain, Behavior and Cognitive Science Society. Halifax, Nova Scotia, Canada.
7. M.Brysbaert,, & B.New, (2009). Moving beyond Kucera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and imporved word frequency measure for American English. Behavior Research Methods, 41(4), 977–990. doi:10.3758/BRM.41.4.977
8. V.Coltheart,, & E.Winograd, (1986). Word imagery but not age of acquisition affects episodic memory. Memory & Cognition, 14, 174–180. doi: 10.3758/BF03198377
9. M.J.Cortese,, & A.Fugett, (2004). Imageability ratings for 3,000 monosyllabic words. Behavior Research Methods, Instruments, & Computers, 36, 384–387. doi:10.3758/BF03195585
10. M.J.Cortese,, & M.M.Khanna, (2007). Age of acquisition predicts naming and lexical-decision performance above and beyond 22 other predictor variables: An analysis of 2,342 words. The Quarterly Journal of Experimental Psychology, 60, 1072–1082. doi:10.1080/174701071315467
11. Cortese, M.J., & Khanna, M.M. (2008). Age of acquisition ratings for 3,000 monosyllabic words. Behavior Research Methods, 40, 791–794. doi: 10.3758/BRM.40.3.791
12. M.J.Cortese,, M.M.Khanna,, & S.D.Hacker, (2010). Recognition memory for 2,578 monosyllabic words. Memory, 18(6), 595–609. doi:10.1080/09658211.2010.493892
13. Cortese, M.J., & Schock, J. (2013). Imageability and age of acquisition effects in disyllabic word recognition. The Quarterly Journal of Experimental Psychology, 66, 946–972. doi: 10.1080/17470218.2012.722660
14. S.Dennis,, & M.S.Humphreys, (2001). A context noise model of episodic word recognition. Psychological Review, 108, 452–478. doi:10.1037//0033-295X.108.2.452
15. S.A.Dewhurst,, G.J.Hitch,, & C.Barry, (1998). Separate effects of word frequency and age of acquisition in recognition and recall. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 284–298. doi:10.1037//0278-7393.24.2.284
16. L.Ferrand,, B.New,, M.Brysbaert,, E.Keuleers,, P.Bonin,, A.Méot,, M.Augustinova,, & C.Pallier, (2010). The French Lexicon Project: Lexical decision data for 38,840 French words and 38,840 pseudowords. Behavior Research Methods, 42, 488–496. doi:10.3758/BRM.42.2.488
17. K.I.Forster, (2000). The potential for experimenter bias effects in word recognition experiments. Memory & Cognition, 28, 1109–1115. doi:10.3758/BF03211812
18. K.J.Gilhooly,, & M.L.Gilhooly, (1979). Age-of-acquisition effects in lexical and episodic memory tasks. Memory & Cognition, 7, 214–223. doi: 10.3758/BF03197541
19. M.Glanzer,, & N.Bowles, (1976). Analysis of the word-frequency effect in recognition memory. Journal of Experimental Psychology: Human Learning and Memory, 2, 21–31.
20. J.Grainger,, & A.M.Jacobs, (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103, 518–565. doi: 10.1037/0033-295X.103.3.518
21. M.J.Hofmann,, L.Kuchinke,, C.Biemann,, S.Tamm,, & A.M.Jacobs, (2011). Remembering words in context as predicted by an associative read-out model. Frontiers in Psychology, 2, Article 252. doi:10.3389/fpsyg.2011.00252
22. C.Hulme,, I.Neath,, G.Sturart,, L.Shostak,, A.M.Surprenaunt,, & G.D.A.Brown, (2006). The distinctiveness of the word length effect. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 586–594. doi:10.1037/0278-7393.32.3.586
23. B.J.Juhasz, (2005). Age-of-acquisition effects in word and picture identification. Psychological Bulletin, 131, 684–712. doi:10.1037/0033-2909.131.5.684
24. S.H.K.Kang,, D.A.Balota,, & M.J.Yap, (2009). Pathway control in visual word processing: Converging evidence from recognition memory. Psychonomic Bulletin & Review, 16, 692–698. doi:10.375&/PBR.16.4.692
25. E.Keuleers,, K.Diependaele,, & M.Brysbaert, (2010). Practice effects in large-scale visual word recognition studies: A lexical decision study on 14,000 Dutch mono- and disyllabic words and nonwords. Frontiers in Psychology, 1, 174. doi:10.3389/fpsyg.2010.00174
26. E.Keuleers,, P.Lacey,, K.Rastle,, & M.Brysbaert, (2011). The British lexicon project: Lexical decision data for 28,730 monosyllabic and disyllabic English words. Behavior Research Methods, 44(1), 287–304. doi:10.3758/s13428-011-0118-4
27. W.A.van Loon-Vervoorn, (1989). Eigenschappen van basiswoorden. Lisse: Swets and Zeitlinger.
28. J.L.McClelland,, & M.Chappell, (1998). Familiarity breeds differentiation: A subjective-likelihood approach to the effects of experience in recognition memory. Psychological Review, 105, 724–760. doi:10.1037/0033-295X.105.4.734-760
29. J.L.McClelland,, & D.E.Rumelhart, (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88, 375–407.
30. P.E.Morris, (1981). Age of acquisition, imagery, recall, and the limitations of multiple-regression analysis. Memory & Cognition, 9, 277–282. doi: 10.3758/BF03196961
31. A.Paivio, (1971). Imagery and verbal processes. New York: Holt, Rinehart, & Winston.
32. C.Perry,, J.C.Ziegler,, & M.Zorzi, (2007). Nested incremental modeling in the development of computational theories: The CDP+ model of reading aloud. Psychological Review, 114(2), 273–315. doi:10.1037/0033-295X.114.2.273
33. D.C.Rubin, (1980). 51 properties of 125 words: A unit analysis of verbal behavior. Journal of Verbal Learning and Verbal Behavior, 19, 736–755. doi: 10.1016/S0022-5371(80)90415-6
34. D.C.Rubin,, & M.Friendly, (1986). Predicting which words get recalled: Measures of free recall, availability, goodness, emotionality, and pronunciability for 925 nouns. Memory & Cognition, 14, 79–94. doi: 10.3758/BF03209231
35. J.Schock,, M.J.Cortese,, M.M.Khanna, (2012). Imageability estimates for 3,000 disyllabic words. Behavior Research Methods, 44, 374–379. doi:10.3758/s13428-011-0162-0
36. J.Schock,, M.J.Cortese,, & M.M.Khanna,, & S.Toppi, (2012). Age of acquisition estimates for 3,000 disyllabic words. Behavior Research Methods, 44, 971–977. doi:10.3758/s13428-012-0209-x
37. M.S.Seidenberg,, & G.S.Waters, (1989). Word recognition and naming: A mega study [Abstract]. Bulletin of the Psychonomic Society, 27, 489.
38. D.H.Spieler,, & D.A.Balota, (1997). Bringing computational models of word naming down to the item level. Psychological Science, 8(6), 411–416. doi:10.1111/j.1467-9280.1997.tb00453.x
39. G.Tehan,, & G.A.Tolan, (2007). Word length effects in long-term memory. Journal of Memory and Language, 56, 35–48. doi:10.1016/j.jml.2006.08.015
40. R.Treiman,, J.Mullennix,, R.Bijeljac-Babic,, & E.D.Richmond-Welty, (1995). The special role of rimes in the description, use, and acquisition of English orthography. Journal of Experimental Psychology: General, 124, 107–136. doi:10.1037/0096-3445.124.2.107
41. T.Yarkoni,, D.A.Balota,, & M.J.Yap, (2008). Beyond Coltheart's N: A new measure of orthographic similarity. Psychonomic Bulletin & Review, 15, 971–979. doi:10.3758/PBR.15.5.971
42. A.P.Yonelinas, (2002). The nature of recollection and familiarity: A review of 30 years of research. Journal of Memory and Language, 46, 441–517. doi:10.1006/jmla.2002.2864
43. J.D.Zevin,, & D.A.Balota, (2000). Priming and attentional control of lexical and sublexical pathways during naming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 121–135. doi:10.1037//0278-7393.26.1.121