Lexical Facility pp 131-155 | Cite as
Lexical Facility as an Index of L2 Proficiency
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Abstract
This chapter presents the first of seven studies that evaluate lexical facility as a second language (L2) vocabulary construct. Study 1 examines the sensitivity of the lexical facility measures to differences in three university English populations, and a preuniversity group of L2 English students in a university language program, L2 university students, and first language (L1) university students. The sensitivity of the three measures (vocabulary size, mean recognition speed, and recognition speed consistency) to group differences is examined for each measure individually and as composites. Construct validity is also established by comparing performance across frequency levels.
References
- Beeckmans, R., Eyckmans, J., Janssens, V., Dufranne, M., & Van de Velde, H. (2001). Examining the yes/no vocabulary test: Some methodological issues in theory and practice. Language Testing, 18(3), 235–274.CrossRefGoogle Scholar
- Cameron, L. (2002). Measuring vocabulary size in English as an additional language. Language Teaching Research, 6(2), 145–173.CrossRefGoogle Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Erlbaum.Google Scholar
- Coxhead, A. (2000). A new academic word list. TESOL Quarterly, 34(2), 213–238.CrossRefGoogle Scholar
- Eyckmans, J. (2004). Learners’ response behavior in Yes/No vocabulary tests. In H. Daller, M. Milton, & J. Treffers-Daller (Eds.), Modelling and assessing vocabulary knowledge (pp. 59–76). Cambridge: Cambridge University Press.Google Scholar
- Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.Google Scholar
- Harrington, M. (2006). The lexical decision task as a measure of L2 lexical proficiency. EUROSLA Yearbook, 6(1), 147–168.CrossRefGoogle Scholar
- Heitz, R. P. (2014). The speed-accuracy tradeoff: History, physiology, methodology, and behavior. Frontiers in Neuroscience, 8, 150.CrossRefGoogle Scholar
- Hulstijn, J. H., Van Gelderen, A., & Schoonen, R. (2009). Automatization in second language acquisition: What does the coefficient of variation tell us? Applied PsychoLinguistics, 30(04), 555–582.CrossRefGoogle Scholar
- Larson-Hall, J. (2016). A guide to doing statistics in second language research using SPSS and R. New York: Routledge.Google Scholar
- Laufer, B., & Nation, P. (1995). Vocabulary size and use: Lexical richness in L2 written production. Applied Linguistics, 16(3), 307–322.CrossRefGoogle Scholar
- Laufer, B., & Nation, P. (2001). Passive vocabulary size and speed of meaning recognition: Are they related? EUROSLA Yearbook, 1(1), 7–28.CrossRefGoogle Scholar
- Lenhard, W., & Lenhard, A. (2014). Calculation of effect sizes. Retrieved November 29, 2014, from http://www.psychometrica.de/effect_size.html
- Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (2nd ed.). New York: Psychology Press.Google Scholar
- Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741.CrossRefGoogle Scholar
- Mochida, A., & Harrington, M. (2006). The yes-no test as a measure of receptive vocabulary knowledge. Language Testing, 26(1), 73–98. doi: 10.1191/0265532206lt321oa.CrossRefGoogle Scholar
- Moder, K. (2010). Alternatives to F-test in one way ANOVA in case of heterogeneity of variances (a simulation study). Psychological Test and Assessment Modeling, 52(4), 343–353.Google Scholar
- Plonsky, L., & Derrick, D. J. (2016). A meta-analysis of reliability coefficients in second language research. The Modern Language Journal, 100, 538–553.CrossRefGoogle Scholar
- Plonsky, L., & Oswald, F. L. (2014). How big is “big”? Interpreting effect sizes in L2 research. Language Learning, 64, 878–912. doi:10.1111/lang. 12079.CrossRefGoogle Scholar
- Ratcliff, R., Gomez, P., & McKoon, G. (2004). A diffusion model account of the lexical decision task. Psychological Review, 111(1), 159–182.CrossRefGoogle Scholar
- Schmitt, N., Schmitt, D., & Clapham, C. (2001). Developing and exploring the behaviour of two new versions of the vocabulary levels test. Language Testing, 18(1), 55–89. doi: 10.1191/026553201668475857.CrossRefGoogle Scholar
- Schmitt, N., Jiang, X., & Grabe, W. (2011). The percentage of words known in a text and reading comprehension. The Modern Language Journal, 95(1), 26–43. doi: 10.1111/j.1540-4781.2011.01146.x.CrossRefGoogle Scholar
- Segalowitz, N., & Segalowitz, S. J. (1993). Skilled performance, practice and differentiation of speed-up from automatization effects: Evidence from second language word recognition. Applied PsychoLinguistics, 14(3), 369–385. doi: 10.1017/S0142716400010845.CrossRefGoogle Scholar
- van Heuven, W. J. B., Dijkstra, T., & Grainger, J. (1998). Orthographic neighborhood effects in bilingual word recognition. Journal of Memory and Language, 39(3), 458–483. doi: 10.1006/jmla.1998.2584.CrossRefGoogle Scholar
- Ziegler, J. C., & Perry, C. (1998). No more problems in Coltheart’s neighborhood: Resolving neighborhood conflicts in the lexical decision task. Cognition, 68(2), B53–B62.CrossRefGoogle Scholar