Stefan Th. Gries 
Teaching at the University of California, Santa Barbara 
Ling 202: Advanced research methods and statistics (Spring 2019)
Syllabus and overview 
This course is a handson introduction (in a computer lab) to more advanced statistical methods to analyze observational and experimental data. After a small recap of monofactorial methods and graphs and an introduction to a process called modeling or model selection, we systematically extend monofactorial tests to their multifactorial and multivariate counterparts. We begin with the linear model and extend correlations and ttests to multiple linear regression, ANOVAs, and ANCOVAs. We then broaden the scope to the powerful methods included in generalized linear modeling by extending chisquared tests to binomial logistic regression for binary dependent variables and Poisson regression for dependent variables that are counts and then proceed to ordinal logistic and multinomial regression. Finally, there will be one session on repeatedmeasures ANOVAs and mixedeffects/multilevel models. In addition to these modeling techniques, we will also explore the exploratory method of hierarchical cluster analysis to find structure in large, potentially messy data sets. We will use the open source software tool the open source software tool R and code from the second edition of my book Statistics for Linguistics with R. 




