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| * [wiki:/StatsCourseDenmark 2-day crash-course on issues in model fitting for ordinary and multilevel models] (Florian Jaeger; Royal Academy of Denmark, November 2008]: assumes background in probability theory and regression fitting, focuses on common issues and the steps involved in model fitting. * [wiki:/StatsMiniCourse 7-session introduction to ordinary and multilevel regression methods] (Austin Frank and Florian Jaeger; HLP lab, June-July 2008): assumes no background and goes all the way to simple linear and logit multilevel models, but is very reading intensive. |
* [wiki:/CUNY09MiniWorkshop Materials for workshop on common issues and standard in ordinary and multilevel regression modeling in psycholinguistic data analysis] (Florian Jaeger and Victor Kuperman; CUNY, March, 2009): assumes some prior familiarity with regression modeling. This is is not an introduction, but rather an attempt of a concise summary of common issues in regression modeling, some standards for evaluating and visualizing models, and some open questions about multilevel models. * [wiki:/DenmarkMiniCourse 2-day crash-course on issues in model fitting for ordinary and multilevel models] (Florian Jaeger; Royal Academy of Denmark, November 2008]: assumes background in probability theory and regression fitting, focuses on common issues and the steps involved in model fitting. * [wiki:/HLPMiniCourse 7-session introduction to ordinary and multilevel regression methods] (Austin Frank and Florian Jaeger; HLP lab, June-July 2008): assumes no background and goes all the way to simple linear and logit multilevel models, but is very reading intensive. |
- [wiki:/CUNY09MiniWorkshop Materials for workshop on common issues and standard in ordinary and multilevel regression modeling in psycholinguistic data analysis] (Florian Jaeger and Victor Kuperman; CUNY, March, 2009): assumes some prior familiarity with regression modeling. This is is not an introduction, but rather an attempt of a concise summary of common issues in regression modeling, some standards for evaluating and visualizing models, and some open questions about multilevel models.
[wiki:/DenmarkMiniCourse 2-day crash-course on issues in model fitting for ordinary and multilevel models] (Florian Jaeger; Royal Academy of Denmark, November 2008]: assumes background in probability theory and regression fitting, focuses on common issues and the steps involved in model fitting.
- [wiki:/HLPMiniCourse 7-session introduction to ordinary and multilevel regression methods] (Austin Frank and Florian Jaeger; HLP lab, June-July 2008): assumes no background and goes all the way to simple linear and logit multilevel models, but is very reading intensive.