# Bibliographie

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. *Journal of Statistical Software*, *67*(1). <https://doi.org/10.18637/jss.v067.i01>

Brown, V. A. (2021). An Introduction to Linear Mixed-Effects Modeling in R. *Advances in Methods and Practices in Psychological Science*, *4*(1), 2515245920960351. <https://doi.org/10.1177/2515245920960351>

DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. *Advances in Methods and Practices in Psychological Science*, *4*(1), 2515245920965119. <https://doi.org/10.1177/2515245920965119>

Gałecki, A. T., & Burzykowski, T. (2013). *Linear mixed-effects models using R : A step-by-step approach*. Springer.Jiang, J., & Nguyen, T. (2021). *Linear and Generalized Linear Mixed Models and Their Applications*. Springer New York. <https://doi.org/10.1007/978-1-0716-1282-8>

Locker, L., Hoffman, L., & Bovaird, J. A. (2007). On the use of multilevel modeling as an alternative to items analysis in psycholinguistic research. *Behavior Research Methods*, *39*(4), 723‑730. <https://doi.org/10.3758/BF03192962>

Pinheiro, J., Bates, D., & R Core Team. (2025). *nlme : Linear and Nonlinear Mixed Effects Models*. [https://CRAN.R-project.org/package=nlme](https://cran.r-project.org/package=nlme)

Pinheiro, J. C., & Bates, D. M. (2000). *Mixed-Effects Models in S and S-PLUS*. Springer. <https://doi.org/10.1007/b98882>

Stefaniak, N. (unpublish). *Modèles linéaires mixtes*.