References
- Agresti, A. (2010). Analysis of ordinal categorical data. John Wiley & Sons.
- Algeo, J. (2006). British or American English: A handbook of word and grammar patterns. Cambridge University Press.
- Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge University Press.
- Baayen, R. H., & Divjak, D. (2017). Ordinal GAMMs: A new window on human ratings. In A. Makarova, S. M. Dickey, & D. Divjak (Eds.), Each venture a new beginning: Studies in honour of Laura A. Janda (pp. 39–56). Slavica Publishers.
- Bader, M., & Häussler, J. (2010). Toward a model of grammaticality judgments. Journal of Linguistics, 46(2), 273–330. https://doi.org/10.1017/S0022226709990260
- Barreda, S., & Silbert, N.(2023). Bayesian multilevel models for repeated measures data: A conceptual and practical introduction in R. Routledge.
- Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
- Bürkner, P.-C., & Vuorre, M. (2019). Ordinal regression models in psychology: A tutorial. Advances in Methods and Practices in Psychological Science, 2(1), 77–101. https://doi.org/10.1177/2515245918823199
- Christensen, R. H. B. (2022). ordinal: Regression models for ordinal data. R package version 2022.11-16. https://CRAN.R-project.org/package=ordinal.
- Dillon, B., & Wagers, M. W. (2021). Approaching gradience in acceptability with the tools of signal detection theory. In G. Goodall (Ed.), The Cambridge handbook of experimental syntax (pp. 62–96). Cambridge University Press.
- Fullerton, A. S., & Xu, J. (2017). Ordered regression models: Parallel, partial, and non-parallel alternatives. CRC Press.
- Gries, S. T. (2021). Statistics for linguistics with R. Mouton de Gruyter.
- Janda, L. A., & Endresen, A. (2017). Five statistical models for Likert-type experimental data on acceptability judgments. Journal of Research Design and Statistics in Linguistics and Communication Science, 3(2), 217–250. https://doi.org/10.1558/jrds.30822
- Johnson, T. R. (2003). On the use of heterogeneous thresholds ordinal regression models to account for individual differences in response style. Psychometrika, 68(4), 563–583. https://doi.org/10.1007/BF02295612
- Krug, M., Schützler, O., & Werner, V. (2016). Patterns of linguistic globalization: Integrating typological profiles and questionnaire data. In O. Timofeeva, A.-C. Gardner, A. Honkapohja, & S. Chevalier (Eds.), New approaches to English linguistics: Building bridges (pp. 35–66). Benjamins.
- Krug, M., Schützler, O., & Werner, V. (2020). How British is Gibraltar English? In P. Núñez-Pertejo, M. J. López-Couso, B. Méndez-Naya, & J. Pérez-Guerra (Eds.), Crossing linguistic boundaries: Systemic, synchronic and diachronic variation in English (pp. 153–186). Bloomsbury.
- Krug, M., & Sell, K. (2013). Designing and conducting interviews and questionnaires. In M. Krug & J. Schlüter (Eds.), Research methods in language variation and change (pp. 69–98). Cambridge University Press.
- Krug, M., Vetter, F., & Sönning, L. (2023). Background data for: Latent-variable modelling of ordinal outcomes in language data analysis. DataverseNO, V1. https://doi.org/10.18710/WI9TEH
- Lenth, R. V. (2023). emmeans: Estimated marginal means, aka least-squares means. R package version 1.8.5. https://CRAN.R-project.org/package=emmeans
- Liddell, T. M., & Kruschke, J. K. (2018). Analyzing ordinal data with metric models: What could possibly go wrong? Journal of Experimental Social Psychology, 79, 328–348. https://doi.org/10.1016/j.jesp.2018.08.009
- Likert, R. (1932). A technique for the measurement of attitudes. Columbia University Press.
- Loftus, G. R. (1978). On interpretation of interactions. Memory & Cognition, 6(3), 312–319. https://doi.org/10.3758/BF03197461
- Long, J. S. (1997). Regression models for categorical and limited dependent variables. Sage.
- McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society, Series B, 42(2), 109–142. https://doi.org/10.1111/j.2517-6161.1980.tb01109.x
- McKelvey, R., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. The Journal of Mathematical Sociology, 4(1), 103–120. https://doi.org/10.1080/0022250X.1975.9989847
- R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. URL. https://www.R-project.org/
- Rohrer, J. M., & Arslan, R. C. (2021). Precise answers to vague questions: Issues with interactions. Advances in Methods and Practices in Psychological Science, 4(2), 1–19. https://doi.org/10.1177/25152459211007368
- Sarkar, D. (2008). Lattice: Multivariate data visualization with R. Springer.
- Schütze, C. T., & Sprouse, J. (2014). Judgment data. In R. J. Podesva & D. Sharma (Eds.), Research methods in linguistics (pp. 27–50). Cambridge University Press.
- Sprouse, J., Schütze, C. T., & Almeida, D. (2013). A comparison of informal and formal acceptability judgments using a random sample from Linguistic Inquiry 2001–2010. Lingua, 134, 219–248. https://doi.org/10.1016/j.lingua.2013.07.002