References
- Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov, and F. Caski (Eds.), Proceedings for the 2nd International Symposium on Information Theory, pp. 267–281, Akademiai Kiado, Budapest. https://www.scirp.org/
- Beglar, D. (2010). A Rasch-based validation of the Vocabulary Size Test. Language Testing, 27(1), 101–118. https://doi.org/https://doi.org/10.1177/0265532209340194
- BNC Consortium. (2001). The british national corpus (Version 2) (BNC World). Oxford University, Computing Services [Distributor]. http://www.natcorp.ox.ac.uk
- Brysbaert, M., & New, B. (2009). Moving beyond Kučera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41(4), 977–990. https://doi.org/https://doi.org/10.3758/BRM.41.4.977
- Burnham, D. (2020, May 13). Curve fitting. JMP Ahead. http://www.pega-analytics.co.uk/blog/curve-fitting/
- Burnham, K., & Anderson, D. (2002). Model selection and multimodel inference: A practical information‐theoretic approach (2nd ed.). Springer.
- Davies, M. (2020). Corpus of contemporary American English: Top 60,000 words (lemmas) in the corpus. Available at: https://www.english-corpora.org/coca (accessed February 2021)
- Davies, M. (2008) The corpus of contemporary american english (COCA). https://www.english-corpora.org/coca/
- Durrant, P., Moxley, J., & McCallum, L. (2019). Vocabulary sophistication in first-year composition assignments. International Journal of Corpus Linguistics, 24(1), 33–66. https://doi.org/https://doi.org/10.1075/ijcl.17052.dur
- Edwards, R., & Collins, L. (2011). Lexical frequency profiles and Zipf’s law. Language Learning, 61(1), 1–30. https://doi.org/https://doi.org/10.1111/j.1467-9922.2010.00616.x
- Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage.
- Hashimoto, B. J. (2016). Rethinking vocabulary size tests: Frequency versus item difficulty (Unpublished master’s thesis). Brigham Young University. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6957&context=etd
- Hashimoto, B. J. (2021). Is frequency enough? The frequency model in vocabulary size testing. Language Assessment Quarterly, 1–17. Advance online publication https://doi.org/https://doi.org/10.1080/15434303.2020.1860058.
- Hashimoto, B. J., & Egbert, J. (2019). More than frequency: Exploring predictors of word difficulty for second language learners. Language Learning, 69(4), 839–872. https://doi.org/https://doi.org/10.1111/lang.12353
- Kilgarriff, A., Baisa, V., Bušta, J., Jakubíček, M., Kovář, V., Michelfeit, J., Rychlý, P., & Suchomel, V. (2014). The sketch engine: Ten years on. Lexicography, 1(1), 7–36. https://doi.org/https://doi.org/10.1007/s40607-014-0009-9
- Kim, H. (2013). Statistical notes for clinical researchers: Assessing normal distribution using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52–54. https://doi.org/https://doi.org/10.5395/rde.2013.38.1.52
- Kim, M., & Crossley, S. A. (2018). Modeling second language writing quality: A structural equation investigation of lexical, syntactic, and cohesive features in source-based and independent writing. Assessing Writing, 37, 39–56. https://doi.org/https://doi.org/10.1016/j.asw.2018.03.002
- Kyle, K., & Crossley, S. A. (2015). Automatically assessing lexical sophistication: Indices, tools, findings, and application. TESOL Quarterly, 49(4), 757–786. https://doi.org/https://doi.org/10.1002/tesq.194
- Kyle, K., Crossley, S., & Berger, C. (2018). The tool for the automatic analysis of lexical sophistication (TAALES): Version 2.0. Behavior Research Methods, 50(3), 1030–1046. https://doi.org/https://doi.org/10.3758/s13428-017-0924-4
- Kyle, K., & Crossley, S. (2016). The relationship between lexical sophistication and independent and source-based writing. Journal of Second Language Writing, 34, 12–24. https://doi.org/https://doi.org/10.1016/j.jslw.2016.10.003
- Laufer, B., & Ravenhorst-Kalovski, G. C. (2010). Lexical threshold revisited: Lexical text coverage, learners’ vocabulary size and reading comprehension. Reading in a Foreign Language, 22(1), 15–30. https://nflrc.hawaii.edu/rfl/item/206
- Lo, S., & Andrews, S. (2015). To transform or not to transform: Using generalized linear mixed models to analyze reaction time data. Frontiers in Psychology, 6(1171) . https://doi.org/https://doi.org/10.3389/fpsyg.2015.01171
- Manning, C. D., & Schütze, H. (1999). Foundations of statistical natural language processing. MIT Press.
- McLean, S., Stewart, J., & Batty, A. O. (2020). Predicting L2 reading proficiency with modalities of vocabulary knowledge: A bootstrapping approach. Language Testing, 37(3). https://doi.org/https://doi.org/10.1177/0265532219898380
- Nation, I. S. P., & Beglar, D. (2007). A vocabulary size test. The Language Teacher, 31(7), 9–13. https://jalt-publications.org/files/pdf/the_language_teacher/07_2007tlt.pdf
- Osborne, J. W., & Waters, E. (2002). Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research, & Evaluation, 8(2), 1–5. https://doi.org/https://doi.org/10.7275/r222-hv23
- Pinchbeck, G. G., Brown, D., McLean, S., & Kramer, B. (in review).
- Plonsky, L. (2013). Study quality in SLA: An assessment of designs, analyses, and reporting practices in quantitative L2 research. Studies in Second Language Acquisition, 35(4), 655–687. https://doi.org/https://doi.org/10.1017/S0272263113000399
- Plonsky, L., & Gonulal, T. (2015). Methodological synthesis in quantitative L2 research: A review of reviews and a case study of exploratory factor analysis. Language Learning, 65(S1), 9–36. https://doi.org/https://doi.org/10.1111/lang.12111
- Schützenmeister, A., Jensen, U., & Piepho, H.-P. (2012). Checking normality and homoscedasticity in the general linear model using diagnostic plots. Communications in Statistics - Simulation and Computation, 41(2), 141–154. https://doi.org/https://doi.org/10.1080/03610918.2011.582560
- Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464. https://doi.org/https://doi.org/10.1214/aos/1176344136
- Van Heuven, W. J. B., Mandera, P., Keuleers, E., & Brysbaert, M. (2014). SUBTLEX-UK: A new and improved word frequency database for British English. The Quarterly Journal of Experimental Psychology, 67(6), 1176–1190. https://doi.org/https://doi.org/10.1080/17470218.2013.850521
- Zhang, S., & Zhang, X. (2020). The relationship between vocabulary knowledge and L2 reading/listening comprehension: A meta-analysis. Language Teaching Research, Advance online publication. https://doi.org/https://doi.org/10.1177/1362168820913998
- Zipf, G. (1935). The psycho-biology of language. Houghton Mifflin. https://doi.org/https://doi.org/10.4324/9781315009421
- Zucchini, W. (2000). An introduction to model selection. Journal of Mathematical Psychology, 44(1), 41–61. https://doi.org/https://doi.org/10.1006/jmps.1999.1276