Evidence for embedded word length effects in complex nonwords

References

• Alvarez, C. J., Taft, M., & Hernández-Cabrera, J. A. (2017). Syllabic strategy as opposed to coda optimization in the segmentation of Spanish letter-strings using word spotting. Scientific Studies of Reading, 21(2), 99–108. doi: 10.1080/10888438.2016.1254220
   Web of Science ®Google Scholar
• Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press.
   Google Scholar
• Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390–412. doi: 10.1016/j.jml.2007.12.005
   Web of Science ®Google Scholar
• Baayen, R. H., Piepenbrock, R., & van Rijn, H. (1993). The CELEX lexical database (CD-ROM).
   Google Scholar
• Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory & Language, 68(3). doi: 10.1016/j.jml.2012.11.001
   PubMed Web of Science ®Google Scholar
• Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1-5. Retrieved from http://CRAN.R-project.org/package=lme4
   Google Scholar
• Bertram, R., Baayen, R. H., & Schreuder, R. (2000). Effects of family size for complex words. Journal of Memory & Language, 42, 390–405. doi: 10.1006/jmla.1999.2681
   Web of Science ®Google Scholar
• Beyersmann, E., Casalis, S., Ziegler, J. C., & Grainger, J. (2015). Language proficiency and morpho-orthographic segmentation. Psychonomic Bulletin & Review, 22, 1054–1061. doi: 10.3758/s13423-014-0752-9
   PubMed Web of Science ®Google Scholar
• Beyersmann, E., Cavalli, E., Casalis, S., & Colé, P. (2016). Embedded stem priming effects in prefixed and suffixed Pseudowords. Scientific Studies of Reading, 20(3), 220–230. doi: 10.1080/10888438.2016.1140769
   Web of Science ®Google Scholar
• Beyersmann, E., & Grainger, J. (2018). Support from the morphological family when unembedding the stem. Journal of Experimental Psychology: Learning, Memory and Cognition, 44(1), 135–142.
   PubMed Web of Science ®Google Scholar
• Beyersmann, E., Grainger, J., & Castles, A. (2019). Embedded stems as a bootstrapping mechanism for morphological parsing during reading development. Journal of Experimental Child Psychology, 182, 196–210. doi: 10.1016/j.jecp.2019.01.010
   PubMed Web of Science ®Google Scholar
• Beyersmann, E., Kezilas, Y., Coltheart, M., Castles, A., Ziegler, J. C., Taft, M., & Grainger, J. (2018). Taking the book from the bookshelf: Masked constituent priming effects in compound words and nonwords. Journal of Cognition, 1(1), 10. doi: 10.5334/joc.11
   PubMedGoogle Scholar
• Beyersmann, E., Ziegler, J. C., Castles, A., Coltheart, M., Kezilas, Y., & Grainger, J. (2016). Morpho-orthographic segmentation without semantics. Psychonomic Bulletin & Review, 23, 533–539. doi: 10.3758/s13423-015-0927-z
   PubMed Web of Science ®Google Scholar
• Bowers, J. S., Davis, C. J., & Hanley, D. A. (2005). Automatic semantic activation of embedded words: Is there a ‘hat’ in ‘that’? Journal of Memory & Language, 52, 131–143. doi: 10.1016/j.jml.2004.09.003
   Web of Science ®Google Scholar
• Buerkner, P.-C. (2017). Brms: An R package for Bayesian multilevel models using stan. Journal of Statistical Software, 80(1), 1–28. doi: 10.18637/jss.v080.i01
   Web of Science ®Google Scholar
• Crepaldi, D., Rastle, K., Davis, C. J., & Lupker, S. J. (2013). Seeing stems everywhere: Position-independent identification of stem morphemes. Journal of Experimental Psychology: Human Perception and Performance, 39(2), 510–525.
   PubMed Web of Science ®Google Scholar
• De Jong, N. H., Schreuder, R., & Baayen, R. H. (2000). The morphological family size effect and morphology. Language and Cognitive Processes, 15(4/5), 329–365. doi: 10.1080/01690960050119625
   Google Scholar
• Diependaele, K., Sandra, D., & Grainger, J. (2009). Semantic transparency and masked morphological priming: The case of prefixed words. Memory & Cognition, 37, 895–908. doi: 10.3758/MC.37.6.895
   PubMed Web of Science ®Google Scholar
• Fiorentino, R., & Fund-Reznicek, E. (2009). Masked morphological priming of compound constituents. The Mental Lexicon, 4(2), 159–193. doi: 10.1075/ml.4.2.01fio
   Google Scholar
• Fischer-Baum, S., Charny, J., & McCloskey, M. (2011). Both-edges representation of letter position in reading. Psychonomic Bulletin & Review, 18(6), 1083–1089. doi: 10.3758/s13423-011-0160-3
   PubMed Web of Science ®Google Scholar
• Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35(1), 116–124. doi: 10.3758/BF03195503
   PubMedGoogle Scholar
• Grainger, J., Bertrand, D., Lété, B., Beyersmann, E., & Ziegler, J. C. (2016). A developmental investigation of the first-letter advantage. Journal of Experimental Child Psychology, 152, 161–172. doi: 10.1016/j.jecp.2016.07.016
   PubMed Web of Science ®Google Scholar
• Grainger, J., & Beyersmann, E. (2017). Edge-aligned embedded word activation initiates morpho-orthographic segmentation. In B. H. Ross (Ed.), The Psychology of Learning and Motivation (Vol. 67, pp. 285–317). San Diego, CA: Academic Press.
   Google Scholar
• Hannagan, T., & Grainger, J. (2012). Protein analysis meets visual word recognition: A case for string kernels in the brain. Cognitive Science, 36, 575–606. doi: 10.1111/j.1551-6709.2012.01236.x
   PubMed Web of Science ®Google Scholar
• Hasenäcker, J., Beyersmann, E., & Schroeder, S. (2016). Masked morphological priming in German-speaking adults and children: Evidence from response time distributions. Frontiers in Psychology, 7, 929. doi: 10.3389/fpsyg.2016.00929
   PubMed Web of Science ®Google Scholar
• Heathcote, L., Nation, K., Castles, A., & Beyersmann, E. (2018). Do ‘blacheap’ and ‘subcheap’ both prime ‘cheap’? An investigation of morphemic status and position in early visual word processing. Quarterly Journal of Experimental Psychology, 71(8), 1645–1654. doi: 10.1080/17470218.2017.1362704
   Web of Science ®Google Scholar
• Jacobs, A. M., Rey, A., Ziegler, J. C., & Grainger, J. (1998). MROM-P: An interactive activation, multiple read-out model of orthographic and phonological processes in visual word recognition. In J. Grainger, & A. M. Jacobs (Eds.), Localist connectionist approaches to human cognition (pp. 147–188). Mahwah, NJ: Erlbaum.
   Google Scholar
• Juhasz, B. J., & Berkowitz, R. N. (2011). Effects of morphological families on English compound word recognition: A multitask investigation. Language and Cognitive Processes, 26, 653–682. doi: 10.1080/01690965.2010.498668
   Web of Science ®Google Scholar
• Kuperman, V., Schreuder, R., Bertram, R., & Baayen, R. H. (2009). Reading polymorphemic Dutch compounds: Toward a multiple route model of lexical processing. Journal of Experimental Psychology: Human Perception & Performance, 35(3), 876–895.
   PubMed Web of Science ®Google Scholar
• Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. doi: 10.18637/jss.v082.i13
   Web of Science ®Google Scholar
• Libben, G. (1994). How is morphological decomposition achieved? Language and Cognitive Processes, 9, 369–391. doi: 10.1080/01690969408402124
   Web of Science ®Google Scholar
• Longtin, C. M., Segui, J., & Hallé, P. A. (2003). Morphological priming without morphological relationship. Language and Cognitive Processes, 18(3), 313–334. doi: 10.1080/01690960244000036
   Web of Science ®Google Scholar
• Marzouki, Y., & Grainger, J. (2014). Effects of stimulus duration and inter-letter spacing on letter-in-string identification. Acta Psychologica, 148, 49–55. doi: 10.1016/j.actpsy.2013.12.011
   PubMed Web of Science ®Google Scholar
• Morris, J., Porter, J. H., Grainger, J., & Holcomb, P. J. (2011). Effects of lexical status and morphological complexity in masked priming: An ERP study. Language and Cognitive Processes, 26(4–6), 558–599. doi: 10.1080/01690965.2010.495482
   Web of Science ®Google Scholar
• Nation, K., & Cocksey, J. (2009). Beginning readers activate semantics from sub-word orthography. Cognition, 110(2), 273–278. doi: 10.1016/j.cognition.2008.11.004
   PubMed Web of Science ®Google Scholar
• Rastle, K., & Davis, M. H. (2008). Morphological decomposition based on the analysis of orthography. Language & Cognitive Processes, 23, 942–971. doi: 10.1080/01690960802069730
   Web of Science ®Google Scholar
• Rastle, K., Davis, M. H., & New, B. (2004). The broth in my brother's brothel: Morpho-orthographic segmentation in visual word recognition. Psychonomic Bulletin & Review, 11, 1090–1098. doi: 10.3758/BF03196742
   PubMed Web of Science ®Google Scholar
• RDevelopmentCoreTeam. (2019). R: A language and environment for statistical computing: R version 3.6.0.
   Google Scholar
• Scaltritti, M., & Balota, D. (2013). Are all letters really processes equally and in parallel? Further evidence of a robust first letter advantage. Acta Psychologica, 144, 397–410. doi: 10.1016/j.actpsy.2013.07.018
   PubMed Web of Science ®Google Scholar
• Snell, J., Grainger, J., & Declerck, M. (2018). A word on words in words: How do embedded words affect reading? Journal of Cognition, 1(1), 40. doi: 10.5334/joc.45
   PubMedGoogle Scholar
• Taft, M. (2003). Morphological representation as a correlation between form and meaning. In E. Assink, & D. Sandra (Eds.), Reading complex words (pp. 113–137). Amsterdam: Kluwer.
   Google Scholar
• Taft, M. (2004). Morphological decomposition and the reverse base frequency effect. Quarterly Journal of Experimental Psychology, 57, 745–765. doi: 10.1080/02724980343000477
   Web of Science ®Google Scholar
• Taft, M., & Álvarez, C. J. (2014). Coda optimization in the segmentation of English polysyllabic letter-strings. Experimental Psychology, 61(6), 488–494. doi: 10.1027/1618-3169/a000266
   PubMed Web of Science ®Google Scholar
• Taft, M., & Forster, K. I. (1976). Lexical storage and retrieval of polymorphemic and polysyllabic words. Journal of Verbal Learning and Learning Behavior, 15, 607–620. doi: 10.1016/0022-5371(76)90054-2
   Google Scholar
• Taft, M., Li, S., & Beyersmann, E. (2018). What cross-morphemic letter transposition in derived nonwords tells us about lexical processing. Journal of Cognition, 1(1), 36. doi: 10.5334/joc.39
   PubMedGoogle Scholar
• Taft, M., Xu, J., & Li, S. (2017). Letter coding in visual word recognition: The impact of embedded words. Journal of Memory and Language, 92, 14–25. doi: 10.1016/j.jml.2016.05.002
   Web of Science ®Google Scholar