Bibliography of Bayesian Analysis in Applied Linguistics

This following is a list of references of discussions on and studies that apply a Bayesian approach to data analysis in applied linguistics.

Cheng, W., & Almor, A. (2019). A Bayesian approach to establishing coreference in second language discourse: Evidence from implicit causality and consequentiality verbs. Bilingualism: Language and Cognition, 22, 456-475.

Garcia, G. D. (2018). The advantages of Bayesian statistics in the study of second language acquisition. Paper presented at the American Association for Applied Linguistics (AAAL), Chicago, IL.

Gudmestad, A., House, L., & Geeslin, K. L. (2013). What a Bayesian analysis can do for SLA: New tools for the sociolinguistic study of subject expression in L2 Spanish. Language Learning63(3), 371-399.

Hinneburg, A., Mannila, H., Kaislaniemi, S., Nevalainen, T., & Raumolin-Brunberg, H. (2007). How to handle small samples: bootstrap and Bayesian methods in the analysis of linguistic change. Literary and linguistic computing22, 137-150.

Kimball, A. E., Shantz, K., & Eager, C. (in press). Confronting quasi-separation in logistic mixed effects for linguistic data: A Bayesian approach. Journal of Quantitative Linguistics, 26, 231-255.

Mackey, B., & Ross, S. J. (2015). Bayesian informative hypothesis testing. Advancing quantitative methods in second language research, 329-345.

Mizumoto, A., & Takeuchi, O. (2018, June). Utilizing innovative methods for analyzing quantitative and qualitative data in learning strategy assessment. Paper presented at Psychology of Language Learning, Waseda University, Japan.

Morgan-Short, K., Marsden, E., Heil, J., Issa, B. I., Leow, R. P., Mikhaylova, A., Mikołajczak, S., Moreno, N., Slabakova, R., & Szudarski, P. (2018). Multisite replication in second language acquisition research: Attention to form during listening and reading comprehension. Language Learning, 68, 392-437.

Norouzian, R. (n.d.). Bayesian t-tests calculator. Available here:

Norouzian, R., de Miranda, M. A., & Plonsky, L. (2019). A Bayesian approach to measuring evidence in L2 research: An empirical investigation. Modern Language Journal, 103, 248-261. DOI: 10.1111/modl.12543

Norouzian, R., de Miranda, M. A., & Plonsky, L. (2018). The Bayesian revolution in second language research: An applied approach. Language Learning. 68, 1032-1075. DOI: 10.1111/lang.12310

Ross, (2013, October). Aptitude for language learning: A validity generalization and Bayesian exploration. Paper presented at Improving Quantitative Reasoning in Second Language Research. Georgetown University.

Ross, S. J. (2012). Probability and hypothesis testing.  In C. A. Chapelle (Ed.). Encyclopedia of applied linguistics (pp. 4673-4679). London: Wiley-Blackwell.

Ross, S. J., & Mackey, B. (2015). Bayesian approaches to imputation, hypothesis testing, and parameter estimation. Language Learning65(S1), 208-227.

Tsubota, Y., Dantsuji, M., & Kawahara, T. (2004). An English pronunciation learning system for Japanese students based on diagnosis of critical pronunciation errors. ReCALL16(1), 173-188.

Vincze, L., Gasiorek, J., & Dragojevic, M. (2017). Little chance for divergence: The role of interlocutor language constraint in online bilingual accommodation. International Journal of Applied Linguistics.

Wilson, A. (2013). Embracing Bayes factors for key item analysis in corpus linguistics. In M. Bieswanger, & A. Koll-Stobbe (Eds.), New approaches to the study of linguistic variability (pp. 3-11). Frankfurt: Peter Lang.

Xiao-Desai, Y. (2019). The effects of online writing heritage language anxiety: A Bayesian analysis. In F. Yuan & S. Li (Eds.), Classroom research on Chinese as a second language (pp. 128-151). New York: Routledge.