Is reading-aloud performance in megastudies systematically influenced by the list context?

REFERENCES

• Adelman, J. S., Marquis, S. J., Sabatos-DeVito, M. G., & Estes, Z. (2013). The unexplained nature of reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 1037–1053. doi:10.1037/a0031829
   PubMed Web of Science ®Google Scholar
• Balota, D. A., Cortese, M. J., Sergent-Marshall, S. D., Spieler, D. H., & Yap, M. J. (2004). Visual word recognition of single-syllable words. Journal of Experimental Psychology: General, 133(2), 283–316. doi:10.1037/0096-3445.133.2.283
   PubMed Web of Science ®Google Scholar
• Balota, D. A., Pilotti, M., & Cortese, M. J. (2001). Subjective frequency estimates for 2906 monosyllabic words. Memory & Cognition, 29, 639–647. doi:10.3758/BF03200465
   PubMed Web of Science ®Google Scholar
• Balota, D. A., Yap, M. J., Hutchison, K. A., & Cortese, M. J. (2012). Megastudies: Large scale analyses of lexical processes. In Adelman (Ed.), Visual Word Recognition Vol. 1: Models and Methods, Orthography and Phonology (pp. 90–115). Hove, UK: Psychology Press.
   Google Scholar
• Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., … Treiman, R. (2007). The English lexicon project. Behavior Research Methods, 39(3), 445–459. doi:10.3758/BF03193014
   PubMed Web of Science ®Google Scholar
• Baluch, B., & Besner, D. (1991). Visual word recognition: Evidence for strategic control of lexical and nonlexical routines in oral reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 644–652. doi:10.1037/0278-7393.17.4.644
   Web of Science ®Google Scholar
• Brysbaert, M., & Cortese, M. J. (2011). Do the effects of familiarity and age of acquisition survive better word frequency norms? The Quarterly Journal of Experimental Psychology, 64, 545–559. doi:10.1080/17470218.2010.503374
   Web of Science ®Google Scholar
• Brysbaert, M., & New, B. (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
   PubMed Web of Science ®Google Scholar
• Coltheart, M., Davelaar, E., Jonasson, J., & Besner, D. (1977). Access to the internal lexicon. In S. Dornic (Ed.), Attention and performance VI (pp. 535–555). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108(1), 204–256. doi:10.1037//0033-295X.108.1.204
   PubMed Web of Science ®Google Scholar
• Connell, L., & Lynott, D. (2014). I see/hear what you mean: semantic activation in visual word recognition depends on perceptual attention. Journal of Experimental Psychology: General. doi:10.1037/a0034626
   PubMed Web of Science ®Google Scholar
• Cortese, M. J., & Khanna, M. M. (2007). Age of acquisition predicts naming and lexical-decision performance above and beyond 22 other predictor variables: An analysis of 2342 words. The Quarterly Journal of Experimental Psychology, 60(8), 1072–1082. doi:10.1080/174701071315467
   PubMed Web of Science ®Google Scholar
• Cortese, M. J., Khanna, M. M., & Hacker, S. D. (2010). Recognition memory for 2578 monosyllabic words. Memory, 18(6), 595–609. doi:10.1080/09658211.2010.493892
   PubMed Web of Science ®Google Scholar
• Courrieu, P., Brand-D'Abrescia, M., Peereman, R., Spieler, D., & Rey, A. (2011). Validated intraclass correlation statistics to test item performance models. Behavior Research Methods, 43, 37–55. doi:10.3758/s13428-010-0020-5
   PubMed Web of Science ®Google Scholar
• Faust, M. E., Balota, D. A., Spieler, D. H., & Ferraro, F. R. (1999). Individual differences in information-processing rate and amount: Implications for group differences in response latency. Psychological Bulletin, 125, 777–799. doi:10.1037//0033-2909.125.6.777
   PubMed Web of Science ®Google Scholar
• Jared, D., McRae, K., & Seidenberg, M. S. (1990). The basis of consistency effects in word naming. Journal of Memory and Language, 29(6), 687–715. doi:10.1016/0749-596X(90)90044-Z
   Web of Science ®Google Scholar
• Kessler, B., Treiman, R., & Mullennix, J. (2008). Feedback consistency effects in single-word reading. In E. L. Grigorenko & A. J. Naples (Eds.), Single-word reading: Behavioral and biological perspectives (pp. 159–174). Mahwah, NJ: Erlbaum.
   Google Scholar
• Keuleers, E., Diependaele, K., & Brysbaert, M. (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
   PubMed Web of Science ®Google Scholar
• Keuleers, E., Lacey, P., Rastle, K., & Brysbaert, M. (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
   Web of Science ®Google Scholar
• Lorch, Jr., R. F., & Myers, J. L. (1990). Regression analyses of reapeated measures data in cognitive research. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16(1), 149–157. doi: 10.1037/0278-7393.16.1.149
   PubMed Web of Science ®Google Scholar
• Lupker, S. J., Brown, P., & Colombo, L. (1997). Strategic control in a naming task: Changing routes or changing deadlines? Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(3), 570–590. doi:10.1037/0278-7393.23.3.570
   Web of Science ®Google Scholar
• Perry, C., Ziegler, J. C., & Zorzi, M. (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
   PubMed Web of Science ®Google Scholar
• Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56–115. doi:10.1037/0033-295X.103.1.56
   PubMed Web of Science ®Google Scholar
• Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. (2000). HLM5: Hierarchical linear and nonlinear modeling [Computer Program]. Chicago: Scientific Software International.
   Google Scholar
• Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-prime user's guide. Pittsburgh: Psychology Software Tools Inc.
   Google Scholar
• Seidenberg, M. S., Waters, G. S., Barnes, M. A., & Tanenhaus, M. K. (1984). When does irregular spelling or pronunciation influence word recognition?. Journal of Verbal Learning and Verbal Behavior, 23(3), 383–404. doi:10.1016/S0022-5371(84)90270-6
   Google Scholar
• Sibley, D. E., Kello, C. T., & Seidenberg, M. S. (2009). Error, error everywhere: A look at megastudies of word reading. Proceedings of the Annual Meeting of the Cognitive Science Society. Amsterdam, The Netherlands.
   Google Scholar
• Spieler, D. H., & Balota, D. A. (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
   Web of Science ®Google Scholar
• Yap, M. J., & Balota, D. A. (2009). Visual word recognition of multisyllabic words. Journal of Memory and Language, 60, 502–529. doi:10.1016/j.jml.2009.02.001
   Web of Science ®Google Scholar
• Zeno, S. M., Ivens, S. H., Millard, R. T., & Duvvuri, R. (1995). The educator's word frequency guide. Brewster, NY: Touchstone Applied Science.
   Google Scholar
• Zevin, J. D., & Balota, D. A. (2000). Priming and attentional control of lexical and sublexical pathways during naming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(1), 121–135. doi: 10.1037//0278-7393.26.1.121
   PubMed Web of Science ®Google Scholar