Does EFL Readers' Lexical and Grammatical Knowledge Predict Their Reading Ability? Insights From a Perceptron Artificial Neural Network Study

References

• Alderson, J. C. (1993). The relationship between grammar and reading in an English for academic purposes test battery. In D. Douglas & C. Chapelle (Eds.), A new decade of language testing research: Selected papers from the 1990 Language Testing Research Colloquium (pp. 203–219). Alexandria, VA: TESOL.
   Google Scholar
• Alderson, J. C. (2000). Assessing reading. Cambridge, England: Cambridge University Press.
   Google Scholar
• Altman, D. G., & Royston, P. (2006). The cost of dichotomizing continuous variables. British Medical Journal, 332, 1080.
   PubMed Web of Science ®Google Scholar
• Amirian, S. M. R., Alavi, S. M., & Fidalgo, A. M. (2014). Detecting gender DIF with an English proficiency test in EFL context. Iranian Journal of Language Testing, 4, 187–203.
   Google Scholar
• Anderson, R. C., & Freebody, P. (1981). Vocabulary knowledge. In J. Guthrie (Ed.), Comprehension and teaching: Research reviews (pp. 77–117). Newark, DE: International Reading Association.
   Google Scholar
• Aryadoust, V. (2015). Fitting a mixture Rasch model to EFL listening tests: The role of cognitive and background variables in explaining latent differential item functioning. International Journal of Testing, 15, 216–238.
   Web of Science ®Google Scholar
• Aryadoust, V., & Fox, J. (Eds.). (2016). Trends in language assessment research and practice: The view from the Middle East and the Pacific Rim. Newcastle, England: Cambridge Scholars.
   Google Scholar
• Aryadoust, V., Goh, C., & Lee, O. K. (2011). An investigation of differential item functioning in the MELAB listening test. Language Assessment Quarterly, 8, 361–385.
   Web of Science ®Google Scholar
• Aryadoust, V., & Liu, S. (2015). Predicting EFL writing ability from levels of mental representation measured by Coh-Metrix: A structural equation modeling study. Assessing Writing, 24, 35–58.
   Web of Science ®Google Scholar
• Baghaei, P., & Cassady, J. (2014). Validation of the Persian translation of the Cognitive Test Anxiety Scale. Sage Open, 4, 1–11.
   PubMedGoogle Scholar
• Baghaei, P., & Ravand, H. (2015). A cognitive processing model of reading comprehension in English as a foreign language using the linear logistic test model. Learning and Individual Differences, 43, 100–105.
   Web of Science ®Google Scholar
• Barbour, B., Brunel, N., Hakim, V., & Nadal, J. P. (2007). What can we learn from synaptic weight distributions? TRENDS in Neurosciences, 30, 622–629.
   PubMed Web of Science ®Google Scholar
• Beck, I. L., McKeown, M. G., & Kucan, L. (2002). Bringing words to life: Robust vocabulary instruction. New York, NY: Guilford Press.
   Google Scholar
• Berman, R. A. (1984). Syntactic components of the foreign language reading process. In J. C. Alderson & A. H. Urquhart (Eds.), Reading in a foreign language (pp. 139–156). London, England: Longman.
   Google Scholar
• Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences. London, UK: Erlbaum.
   Google Scholar
• Bowers, P. N., & Kirby, J. R. (2010). Effects of morphological instruction on vocabulary acquisition. Reading and Writing, 23, 515–537.
   Web of Science ®Google Scholar
• Capecchi, V., Buscema, M., Contucci, P., & D'Amore, B. (Eds.). (2010). Applications of mathematics in models, artificial neural networks and arts: Mathematics and society. New York, NY: Springer.
   Google Scholar
• Carlo, M. S., August, D., McLaughlin, B., Snow, C. E., Dressler, C., Lippman, D. N., … White, C. E. (2004). Closing the gap: Addressing the vocabulary needs of English-language learners in bilingual and mainstream classrooms. Reading Research Quarterly, 39, 188–215.
   Web of Science ®Google Scholar
• Cooper, M. (1984). Linguistic competence of practiced and unpracticed non-native speakers of English. In J. C. Alderson & A. H. Urquhart (Eds.), Reading in a foreign language (pp. 122–135). London, England: Longman.
   Google Scholar
• Deming, W. E., & Stephan, F. F. (1941). On the interpretation of censuses as samples. Journal of the American Statistical Association, 36, 45–49.
   Google Scholar
• Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27, 861–874.
   Web of Science ®Google Scholar
• Fender, M. (2001). A review of L1 and L2 ESL word integration skills and the nature of L2/ESL word integration development of lower level text processing. Language Learning, 51, 319–396.
   Web of Science ®Google Scholar
• Field, J. (2004). An insight into listeners' problems: Too much bottom-up or too much top-down? System, 32, 363–377.
   Google Scholar
• Fry, E. (1981). Graphical literacy. Journal of Reading, 24, 383–389.
   Google Scholar
• Givón, T. (1995). Coherence in text vs. coherence in mind. In M. A. Gernsbacher & T. Givón (Eds.), Coherence in spontaneous text (pp. 59–115). Philadelphia, PA: Benjamins.
   Google Scholar
• Gleick, J. (1987). Chaos: Making a new science. New York, NY: Penguin Books.
   Google Scholar
• Goh, C. C. M. (2000). A cognitive perspective on language learners' listening comprehension problems. System, 28, 55–75.
   Google Scholar
• Grabe, W. (2005). The role of grammar in reading comprehension. In J. Frodesen & C. Holton (Eds.), The power of context in language teaching and learning (pp. 268–282). Boston, MA: Heinle & Heinle.
   Google Scholar
• Grabe, W. (2009). Reading in a second language: Moving from theory to practice. New York, NY: Cambridge University Press.
   Google Scholar
• Haastrup, K., & Henriksen, B. (2000). Vocabulary acquisition: Acquiring depth of knowledge through network building. International Journal of Applied Linguistics, 10, 221–240.
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. A global perspective (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
   Google Scholar
• Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29–36.
   PubMed Web of Science ®Google Scholar
• Haykin, S. (1998). Neural networks: A comprehensive foundation (2nd ed.). New York, NY: Macmillan College.
   Google Scholar
• Hazenberg, S., & Hulstijn, J. H. (1996). Defining minimal receptive second-language vocabulary for non-native university students: An empirical investigation. Applied Linguistics, 17, 145–163.
   Web of Science ®Google Scholar
• Heagerty, P. J., & Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics, 61, 92–105.
   PubMed Web of Science ®Google Scholar
• Heaton, J. (2008). Introduction to neural networks with Java (2nd ed.). Chesterfield, MO: Heaton Research.
   Google Scholar
• Hiramoto, M., Hiromi, Y., Giniger, E., & Hotta, Y. (2000). The drosophila netrin receptor frazzled guides axons by controlling netrin distribution. Nature, 406(6798), 886–888.
   PubMed Web of Science ®Google Scholar
• Hornik, K. (1993). Some new results on neural network approximation. Neural Networks, 6, 1069–1072.
   Web of Science ®Google Scholar
• Hu, M. H.-C., & Nation, I. S. P. (2000). Unknown vocabulary density and reading comprehension. Reading in a Foreign Language, 13, 403–430.
   Google Scholar
• IBM. (2012). IBM SPSS Neural Networks 21. Singapore: IBM Corporation.
   Google Scholar
• Intrator, O., & Intrator, N. (2001). Interpreting neural-network results: A simulation study. Computational Statistics and Data Analysis, 37, 373–393.
   Web of Science ®Google Scholar
• Jackson, C. T., Fein, D., Essock, S. M., & Mueser, K. T. (2001). The effects of cognitive impairment and substance abuse on psychiatric hospitalizations. Community Mental Health, 37, 303–312.
   PubMed Web of Science ®Google Scholar
• Jeon, E. H., & Yamashita, J. (2014). L2 reading comprehension and its correlates: A meta-analysis. Language Learning, 64, 160–212.
   Web of Science ®Google Scholar
• Jung, J. (2009). Second language reading and the role of grammar. Teachers College, Columbia University Working Papers in TESOL & Applied Linguistics, 9(2), 29–48.
   Google Scholar
• Kameenui, E. J., Carnine, D. W., & Freschi, R. (1982). Effects of text construction and instructional procedures for teaching word meanings on comprehension and recall. Reading Research Quarterly, 17, 367–388.
   Web of Science ®Google Scholar
• Karami, H. (2013). An investigation of the gender differential performance on a high-stakes language proficiency test in Iran. Asia Pacific Educational Review, 14, 435–444.
   Web of Science ®Google Scholar
• Kelava, A., & Brandt, H. (2009). Estimation of nonlinear latent structural equation models using the extended unconstrained approach. Review of Psychology, 16, 123–131.
   Google Scholar
• Khalifa, H., & Weir, C. (2009). Examining reading: Research and practice in assessing second language reading. Studies in language testing (Vol. 29). Cambridge, England: UCLES & Cambridge University Press.
   Google Scholar
• Kieffer, M. J., & Lesaux, N. K. (2008). The role of derivational morphology in the reading comprehension of Spanish-speaking English language learners. Reading and Writing, 21, 783–804.
   Web of Science ®Google Scholar
• Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction-integration model. Psychological Review, 92, 163–182.
   Web of Science ®Google Scholar
• Kintsch, W. (1998). Comprehension: A paradigm for cognition. Cambridge, England: Cambridge University Press.
   Google Scholar
• Koda, K. (2005). Insights into second language reading: A cross-linguistic approach. New York, NY: Cambridge University Press.
   Google Scholar
• Kotsiantis, S., & Kanellopoulos, D. (2006). Discretization techniques: A recent survey. GESTS International Transactions on Computer Science and Engineering, 32, 47–58.
   Google Scholar
• Laufer, B. (1989). What percentage of text-lexis is essential for comprehension? In C. Lauren & M. Nordman (Eds.), Special language: From humans thinking to thinking machines (pp. 316–323). Clevedon, England: Multilingual Matters.
   Google Scholar
• Laufer, B. (1992). Reading in a foreign language: How does L2 lexical knowledge interact with the reader's general academic ability? Journal of Research in Reading, 15, 95–103.
   Google Scholar
• Laufer, B., & Sim, D. D. (1985). Measuring and explaining the threshold needed for English for academic purposes texts. Foreign Language Annals, 18, 405–413.
   Web of Science ®Google Scholar
• Lausen, B., & Schumacher, M. (1996). Evaluating the effect of optimized cutoff values in the assessment of prognostic factors. Computational Statistics and Data Analysis, 21, 307–326.
   Web of Science ®Google Scholar
• Li, M., & Kirby, J. R. (2015). The effects of vocabulary breadth and depth on English reading. Applied Linguistics, 36(5), 611–634. 10.1093/applin/amu007.
   Google Scholar
• Linacre, J. M. (1998). Detecting multidimensionality: Which residual data-type works best? Journal of Outcome Measurement, 2, 266–283.
   PubMedGoogle Scholar
• Linacre, J. M. (2013a). A user's guide to WINSTEPS. Chicago, IL: Winsteps.com.
   Google Scholar
• Linacre, J. M. (2013b). WINSTEPS, Version 3.80 [Computer program]. Chicago, IL: Winsteps.com.
   Google Scholar
• Liu, N., & Nation, I. S. P. (1985). Factors affecting guessing vocabulary in context. RELC Journal, 16, 33–42.
   Google Scholar
• Mason, S. J., & Graham, N. E. (2002). Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation. Quarterly Journal of the Royal Meteorological Society, 128, 2145–2166.
   Web of Science ®Google Scholar
• McKeown, M. G., Beck, I. L., Omanson, R. C., & Perfetti, C. A. (1983). The effects of long-term vocabulary instruction on reading comprehension: A replication. Journal of Literacy Research, 15(3), 3–18.
   Google Scholar
• Meara, P. (1996). The dimensions of lexical competence. In G. Brown, K. Malmkjaer, & J. Williams (Eds.), Performance and competence in second language acquisition (pp. 35–53). Cambridge, England: Cambridge University Press.
   Google Scholar
• Nation, I. S. P. (2001). Learning vocabulary in another language. Cambridge, England: Cambridge University Press.
   Google Scholar
• Perfetti, C. A. (2007). Reading ability: Lexical quality to comprehension. Scientific Studies of Reading, 11, 357–383.
   Web of Science ®Google Scholar
• Perfetti, C. A., Landi, N., & Oakhill, J. (2005). The acquisition of reading comprehension skills. In M. J. Snowling & C. Hulme (Eds.), The science of reading: A handbook (pp. 227–247). London, England: Blackwell.
   Google Scholar
• Perkins, K., Gupta, L., & Tammana, R. (1995). Predicting item difficulty in a reading comprehension test with an artificial neural network. Language Testing, 12, 34–53.
   Google Scholar
• Phakiti, A. (2008). Strategic competence as a fourth-order factor model: A structural equation modelling approach. Language Assessment Quarterly, 5, 20–42.
   Web of Science ®Google Scholar
• Pollitt, A., & Hutchinson, C. (1987). Calibrating graded assessments: Rasch partial credit method analysis of performance in writing. Language Testing, 4, 73–92.
   Google Scholar
• Purpura, J. E. (1999). Learner strategy use and performance on language tests: A structural equation modeling approach. Cambridge, England: Cambridge University Press.
   Google Scholar
• Qian, D. D. (1999). Assessing the roles of depth and breadth of vocabulary knowledge in reading comprehension. Canadian Modern Language Review, 56, 282–308.
   Web of Science ®Google Scholar
• Qian, D. D. (2002). Investigating the relationship between vocabulary knowledge and academic reading performance: An assessment perspective. Language Learning, 52, 513–536.
   Web of Science ®Google Scholar
• Reed, R. D., & Marks, R. J. (1999). Neural smithing: Supervised learning in feedforward artificial neural networks. Cambridge, MA: The MIT Press.
   Google Scholar
• Rixon, S. (2007). Cambridge ESOL YLE tests and children's first steps in reading and writing in English. Research Notes, 28, 7–14.
   Google Scholar
• Rost, M. (2002). Teaching and researching listening. London, England: Longman.
   Google Scholar
• Russell, S., & Norvig, P. (1994). Artificial Intelligence: A modern approach. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Saito, Y. (2003). Investigating the construct validity of the cloze section in the examination of the certificate of proficiency in English. Spaan Fellow Working Papers in Second or Foreign Language Assessment, 1, 39–82.
   Google Scholar
• Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling. New York, NY: Routledge.
   Google Scholar
• Shiotsu, T. (2010). Components of L2 reading: Linguistic and processing factors in the reading test performances of Japanese EFL learners. Cambridge, England: Cambridge University Press.
   Google Scholar
• Shiotsu, T., & Weir, C. J. (2007). The relative significance of syntactic knowledge and vocabulary breadth in the prediction of reading comprehension test performance. Language Testing, 24, 99–128.
   Google Scholar
• Smith, R. M., & Plackner, C. (2009). The family approach to assessing fit in Rasch measurement. Journal of Applied Measurement, 10, 424–437.
   PubMedGoogle Scholar
• Stæhr, L. S. (2008). Vocabulary size and the skills of reading, listening and writing. Language Learning Journal, 36, 139–152.
   Google Scholar
• Starzomska, M. (2003). Use of artificial neural networks in clinical psychology and psychiatry. Psychiatria Polska, 37, 349–357.
   PubMedGoogle Scholar
• Swets, J. A. (1988). Measuring the accuracy of diagnostic systems. Science, 240, 1285–1293.
   PubMed Web of Science ®Google Scholar
• Tang, H., Tan, K. C., & Yi, Z. (2007). Neural networks: Computational models and applications. Heidelberg, Germany: Springer.
   Google Scholar
• Ulijn, J. M., & Strother, J. B. (1990). The effect of syntactic simplification on reading EST texts as LI and L2. Journal of Research in Reading, 13, 38–54.
   Google Scholar
• van Gelderen, A., Schoonen, R., de Glopper, K., Hulstijn, J., Simis, A., Snellings, P., & Stevenson, M. (2004). Linguistic knowledge, processing speed and metacognitive knowledge in first and second language reading comprehension: A componential analysis. Journal of Educational Psychology, 96, 19–30.
   Web of Science ®Google Scholar
• Weir, C. J. (2005). Language testing and validation. Basingstoke, England: Palgrave Macmillan.
   Google Scholar
• Wesche, M., & Paribakht, T. S. (1996). Assessing second language vocabulary knowledge: Depth versus breadth. The Canadian Modern Language Review, 53, 13–40.
   Web of Science ®Google Scholar
• Wright, B. D., & Linacre, J. M. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8, 370.
   Google Scholar
• Yamashita, J. (2007). The relationship of reading attitudes between L1 and L2: An investigation of adult EFL learners in Japan. TESOL Quarterly, 41, 81–105.
   Web of Science ®Google Scholar
• Yano, Y., Long, M. H., & Ross, S. (1994). The effects of simplified and elaborated texts on foreign language reading. Language Learning, 44, 189–219.
   Web of Science ®Google Scholar
• Zhang, D. (2012). Vocabulary and grammar knowledge in second language reading comprehension: A structural equation modeling study. The Modern Language Journal, 96, 558–575.
   Web of Science ®Google Scholar
• Zhang, L., Goh, C. C. M., & Kunnan, A. J. (2014). Analysis of test takers' metacognitive and cognitive strategy use and EFL reading test performance: A multi-sample SEM approach. Language Assessment Quarterly, 11, 76–102.
   Web of Science ®Google Scholar
• Zwaan, R., & Rapp, D. (2006). Discourse comprehension. In M. Traxler & M. A. Gernsbacher (Eds.), Handbook of psycholinguistics (2nd ed., pp. 725–764). Burlington, MA: Academic Press.
   Google Scholar