(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.
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