Acha, J., Perea, M. (2008). The effects of length and transposed-letter similarity in lexical decision: Evidence with beginning, intermediate, and adult readers. British Journal of Psychology, 99, 245–264. https://doi.org/10.1348/000712607x224478
Google Scholar | Crossref Adelman, J. S. (2011). Letters in time and retinotopic space. Psychological Review, 118, 570–582. https://doi.org/10.1037/a0024811
Google Scholar | Crossref Altani, A., Protopapas, A., Georgiou, G. (2018). Using serial and discrete digit naming to unravel word reading processes. Frontiers in Psychology, 9, Article 524. https://doi.org/10.3389/fpsyg.2018.00524
Google Scholar | Crossref Andrews, S., Lo, S. (2012). Not all skilled readers have cracked the code: Individual differences in masked form priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 152–163. https://doi.org/10.1037/a0024953
Google Scholar | Crossref Baayen, R. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge University Press. https://doi.org/10.1017/CBO9780511801686
Google Scholar | Crossref Baayen, R., Davidson, D., Bates, D. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390–412. https://doi.org/10.1016/j.jml.2007.12.005
Google Scholar | Crossref Bates, D., Mächler, M., Bolker, B., Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48. https://doi.org/10.18637/jss.v067.i01
Google Scholar | Crossref Bertinetto, P. M., Burani, C., Laudanna, A., Marconi, L., Ratti, D., Rolando, C., Thornton, A. M. (2005). CoLFIS (Corpus e Lessico di Frequenza dell’Italiano Scritto) [Corpus and Frequency Lexicon of Written Italian]. Institute of Cognitive Sciences and Technologies, CNR. http://www.istc.cnr.it/grouppage/colfisEng
Google Scholar Bolker, B. (2021). GLMM FAQ. https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html
Google Scholar Campos, A. D., Oliveira, H. M., Soares, A. P. (2021). Syllable effects in beginning and intermediate European-Portuguese readers: Evidence from a sandwich masked go/no-go lexical decision task. Journal of Child Language, 48, 699–716. https://doi.org/10.1017/S0305000920000537
Google Scholar | Crossref Carreiras, M., Vergara, M., Perea, M. (2007). ERP correlates of transposed-letter similarity effects: Are consonants processed differently from vowels? Neuroscience Letters, 419, 219–224. https://doi.org/10.1016/j.neulet.2007.04.053
Google Scholar | Crossref Carreiras, M., Vergara, M., Perea, M. (2009). ERP correlates of transposed-letter priming effects: The role of vowels versus consonants. Psychophysiology, 46, 34–42. https://doi.org/10.1111/j.1469-8986.2008.00725.x
Google Scholar | Crossref Castles, A., Davis, C., Cavalot, P., Forster, K. (2007). Tracking the acquisition of orthographic skills in developing readers: Masked priming effects. Journal of Experimental Child Psychology, 97, 165–182. https://doi.org/10.1016/j.jecp.2007.01.006
Google Scholar | Crossref Chetail, F., Scaltritti, M., Content, A. (2014). Effect of the consonant–vowel structure of written words in Italian. Quarterly Journal of Experimental Psychology, 67, 833–842. https://doi.org/10.1080/17470218.2014.898668
Google Scholar | SAGE Journals Colombo, L., Spinelli, G., Lupker, S. J. (2020). The impact of consonant–vowel transpositions on masked priming effects in Italian and English. Quarterly Journal of Experimental Psychology, 73, 183–198. https://doi.org/10.1177/1747021819867638
Google Scholar | SAGE Journals Colombo, L., Sulpizio, S., Peressotti, F. (2017). Serial mechanism in transposed letters effects: A developmental study. Journal of Experimental Child Psychology, 161, 46–62. https://doi.org/10.1016/j.jecp.2017.04.002
Google Scholar | Crossref Colombo, L., Sulpizio, S., Peressotti, F. (2019). The developmental trend of transposed letter effects in masked priming. Journal of Experimental Child Psychology, 186, 117–130. https://doi.org/10.1016/j.jecp.2019.05.007
Google Scholar | Crossref Coltheart, M., Davelaar, E., Jonasson, J. F., Besner, D. (1977). Access to the internal lexicon. In Dornic, S. (Ed.), Attention and performance VI (pp. 535–555). Lawrence Erlbaum.
Google Scholar Comesaña, M., Soares, A. P., Marcet, A., Perea, M. (2016). On the nature of consonant/vowel differences in letter position coding: Evidence from developing and adult readers. British Journal of Psychology, 107, 651–674. https://doi.org/10.1111/bjop.12179
Google Scholar | Crossref Davis, C. J . (1999). The self-organising lexical acquisition and recognition (SOLAR) model of visual word recognition. Unpublished doctoral dissertation, Australia: University of New South Wales.
Google Scholar Davis, C. J. (2010). The spatial coding model of visual word identification. Psychological Review, 117, 713–758. https://doi.org/10.1037/a0019738
Google Scholar | Crossref Davis, C. J., Castles, A., Iakovidis, E. (1998). Masked homophone and pseudohomophone priming in children and adults. Language and Cognitive Processes, 13, 625–651. https://doi.org/10.1080/016909698386401
Google Scholar | Crossref Di Filippo, G., De Luca, M., Judica, A., Spinelli, D., Zoccolotti, P. (2006). Lexicality and stimulus length effects in Italian dyslexics: Role of the overadditivity effect. Child Neuropsychology, 12, 141–149. https://doi.org/10.1080/09297040500346571
Google Scholar | Crossref Eddy, M. D., Grainger, J., Holcomb, P. J., Gabrieli, J. D. (2016). Orthographic and phonological processing in developing readers revealed by ERPs. Psychophysiology, 53, 1776–1783. https://doi.org/10.1111/psyp.12763
Google Scholar | Crossref Faul, F., Erdfelder, E., Buchner, A., Lang, A. G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
Google Scholar | Crossref 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. https://doi.org/10.1037/0033-2909.125.6.777
Google Scholar | Crossref Forster, K. I . (1998). The pros and cons of masked priming. Journal of Psycholinguistic Research, 27, 203–233. https://doi.org/10.1023/A:1023202116609
Google Scholar | Crossref Forster, K. I., Davis, C. J., Schoknecht, C., Carter, R. (1987). Masked priming with graphemically related forms: Repetition or partial activation? Quarterly Journal of Experimental Psychology, 39A, 211–251. https://doi.org/10.1080/14640748708401785
Google Scholar | SAGE Journals Fox, J., Weisberg, S. (2019). An R Companion to Applied Regression. SAGE. https://socialsciences.mcmaster.ca/jfox/Books/Companion/
Google Scholar Gomez, P., Marcet, A., Perea, M. (2021). Are better young readers more likely to confuse their mother with their mohter? Quarterly Journal of Experimental Psychology, 74, 1542–1552. https://doi.org/10.1177/17470218211012960
Google Scholar | SAGE Journals Gomez, P., Perea, M. (2020). Masked identity priming reflects an encoding advantage in developing readers. Journal of Experimental Child Psychology, 199, Article 104911. https://doi.org/10.1016/j.jecp.2020.104911
Google Scholar | Crossref Gomez, P., Ratcliff, R., Perea, M. (2008). The overlap model: A model of letter position coding. Psychological Review, 115, 577–600. https://doi.org/10.1037/a0012667
Google Scholar | Crossref Grainger, J., Lété, B., Bertand, D., Dufau, S., Ziegler, J. C. (2012). Evidence for multiple routes in learning to read. Cognition, 123, 280–292. https://doi.org/10.1016/j.cognition.2012.01.003
Google Scholar | Crossref Grainger, J., van Heuven, W. J. B. (2003). Modeling letter position coding in printed word perception. In Bonin, P. (Ed.), The mental lexicon (pp. 1–23). Nova Science.
Google Scholar Hasenäcker, J., Schroeder, S. (2021). Transposed and substituted letter effects across reading development: A longitudinal study. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. https://doi.org/10.1037/xlm0001064
Google Scholar | Crossref Johnson, R. L. (2007). The flexibility of letter coding: Nonadjacent letter transposition effects in the parafovea. In Van Gompel, R., Fisher, M., Murray, W., Hill, R. L. (Eds.), Eye movements: A window on mind and brain (pp. 425–440). Elsevier. https://doi.org/10.1016/b978-008044980-7/50021-5
Google Scholar | Crossref Kezilas, Y., McKague, M., Kohnen, S., Badcock, N. A., Castles, A. (2017). Disentangling the developmental trajectories of letter position and letter identity coding using masked priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43, 250–254. https://doi.org/10.1037/xlm0000293
Google Scholar | Crossref Lenth, R. V. (2018). emmeans: Estimated marginal means, aka least-squares means. https://cran.r-project.org/web/packages/emmeans/emmeans.pdf
Google Scholar Levy, R. (2014). Using R formulae to test for main effects in the presence of higher order interactions. https://arxiv.org/abs/1405.2094
Google Scholar Lo, S., Andrews, S. (2015). To transform or not to transform: Using generalized linear mixed models to analyse reaction time data. Frontiers in Psychology, 6, Article 1171. https://doi.org/10.3389/fpsyg.2015.01171
Google Scholar | Crossref Lupker, S. J., Davis, C. J. (2009). Sandwich priming: A method for overcoming the limitations of masked priming by reducing lexical competitor effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 618–639. https://doi.org/10.1037/a0015278
Google Scholar | Crossref Lupker, S. J., Perea, M., Davis, C. J. (2008). Transposed letter priming effects: Consonants, vowels and letter frequency. Language and Cognitive Processes, 23, 93–116. https://doi.org/10.1080/01690960701579715
Google Scholar Marconi, L., Ott, M., Pesenti, E., Ratti, D., Tavella, M. (1994). Lessico elementare: Dati statistici sull’italiano letto e scritto dai bambini delle elementari [Elementary lexicon: Statistical data on reading and writing productions of Italian from elementary school children.] Zanichelli.
Google Scholar Marotta, G. (1987). Dittongo e iato: una difficile discriminazione [Diphthong and hiatus: A difficult discrimination]. Annali della Scuola Normale Superiore di Pisa, 17, 847–887.
Google Scholar Norris, D., Kinoshita, S. (2008). Perception as evidence accumulation and Bayesian inference: Insights from masked priming. Journal of Experimental Psychology: General, 137, 433–455. https://doi.org/10.1037/a0012799
Google Scholar | Crossref Norris, D., Kinoshita, S. (2012). Reading through a noisy channel: Why there’s nothing special about the perception of orthography. Psychological Review, 119, 517–545. https://doi.org/10.1037/a0028450
Google Scholar | Crossref Pagán, A., Blythe, H. I., Liversedge, S. P. (2021). The influence of children’s reading ability on initial letter position encoding during a reading-like task. Journal of Experimental Psychology: Learning, Memory, and Cognition. 47, 1186–1203. https://doi.org/10.1037/xlm0000989
Google Scholar | Crossref Paterson, K. B., Read, J., McGowan, V. A., Jordan, T. R. (2015). Children and adults both see “pirates” in “parties”: Letter-position effects for developing readers and skilled adult readers. Developmental Science, 18, 335–343. https://doi.org/10.1111/desc.12222
Google Scholar | Crossref Perea, M., Acha, J. (2009). Does letter position coding depend on consonant/vowel status? Evidence with the masked priming technique. Acta Psychologica, 130, 127–137.
Google Scholar | Crossref | Medline | ISI Perea, M., Duñabeitia, J. A., Carreiras, M. (2008). Transposed-letter priming effects for close versus distant transpositions. Experimental Psychology, 55, 384–393. https://doi.org/10.1027/1618-3169.55.6.384
Google Scholar | Crossref Perea, M., Lupker, S. J. (2003). Transposed-letter confusability effects in masked form priming. In Kinoshita, S., Lupker, S. J. (Eds.), Masked priming: State of the art (pp. 97–120). Psychology Press.
Google Scholar Perea, M., Lupker, S. J. (2004). Can CANISO activate CASINO? Transposed-letter similarity effects with nonadjacent letter positions. Journal of Memory and Language, 51, 231–246. https://doi.org/10.1016/j.jml.2004.05.005
Google Scholar | Crossref Perea, M., Marcet, A., Gómez, P. (2016). How do Scrabble players encode letter position during reading? Psicothema, 28, 7–12. https://doi.org/10.7334/psicothema2015.167
Google Scholar Perfetti, C. A. (2017). Lexical quality revisited. In Segers, E., van den Broek, P. (Eds.), Developmental perspectives in written language and literacy: In honor of Ludo Verhoeven (pp. 51–68). John Benjamins. https://doi.org/10.1075/z.206.04per
Google Scholar | Crossref Perfetti, C. A., Hart, L. (2002). The lexical quality hypothesis. In Verhoeven, L., Elbro, C., Reitsma, P. (Eds.), Precursors of functional literacy (pp. 189–214). John Benjamins. https://doi.org/10.1075/swll.11.14per
Google Scholar | Crossref Pollatsek, A., Well, A. D. (1995). On the use of counterbalanced designs in cognitive research: A suggestion for a better and more powerful analysis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 785–794. https://doi.org/10.1037/0278-7393.21.3.785
Google Scholar | Crossref R Core Team (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/
Google Scholar Ratcliff, R., Love, J., Thompson, C. A., Opfer, J. E. (2012). Children are not like older adults: A diffusion model analysis of developmental changes in speeded responses. Child Development, 83, 367–381. https://doi.org/10.1111/j.1467-8624.2011.01683.x
Google Scholar | Crossref Sartori, G., Job, R., Tressoldi, P. E. (1995). The battery for evaluating dyslexia and dysorthography. Edizioni Os.
Google Scholar Schneider, W., Eschman, A., Zuccolotto, A. (2002). E-Prime User’s Guide. Pittsburgh: Psychology Software Tools, Inc.