*(Note: This is one of three posts that I wrote some time ago that have just been languishing under the “Misc.” tab of my website for a while, because for whatever reason I didn’t feel that they were a good fit for my blog. Well, I’ve decided to go ahead and move them to the blog, so here you go!)*

**List last updated: June 20, 2015**

Baayen, R. H. (2008). __Mixed models.__ Chapter 7 in *Analyzing linguistic data: A practical introduction to statistics using R*. Cambridge University Press.

Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). __Mixed-effects modeling with crossed random effects for subjects and items.__ Journal of memory and language, 59(4), 390-412.

Brysbaert, M. (2007). __The language-as-fixed-effect-fallacy: Some simple SPSS solutions to a complex problem.__ London: Royal Holloway, University of London.

Carson, R. J., & Beeson, C. M. (2013). __Crossing language barriers: Using crossed random effects modelling in psycholinguistics research.__ Tutorials Quant Meth Psych, 9(1), 25-41.

Hoffman, L., & Rovine, M. J. (2007). __Multilevel models for the experimental psychologist: Foundations and illustrative examples.__ Behavior Research Methods, 39(1), 101-117.

Janssen, D. P. (2012). __Twice random, once mixed: Applying mixed models to simultaneously analyze random effects of language and participants.__Behavior Research Methods, 44(1), 232-247.

Judd, C. M., Westfall, J., & Kenny, D. A. (2012). __Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem__. *Journal of Personality and Social Psychology, 103*(1), 54-69.

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.

Quené, H., & Van den Bergh, H. (2004). __On multi-level modeling of data from repeated measures designs: A tutorial.__ Speech Communication, 43(1), 103-121.

Quené, H., & Van den Bergh, H. (2008). __Examples of mixed-effects modeling with crossed random effects and with binomial data.__ Journal of Memory and Language, 59(4), 413-425.

Richter, T. (2006). __What is wrong with ANOVA and multiple regression? Analyzing sentence reading times with hierarchical linear models.__ Discourse Processes, 41(3), 221-250.

Sorensen, T., & Vasishth, S. (2015). __Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists.__

Winter, B. (2014). __A very basic tutorial for performing linear mixed effects analyses.__ arXiv preprint arXiv:1308.5499.