The Scottish Graduate School of Social Science welcomes postgraduate research students to the following advanced training event
This workshop is an introduction to linear mixed-effects models (LMEMs) using the R statistical software package. LMEMs are an emerging 'gold standard' in sociolinguistics, phonetics and psycholinguistics, but are notoriously challenging for beginners. The workshop leader, Dr Daniel Johnson (Lancaster), has worked extensively to popularize and educate about LMEMs and R. This workshop is aimed at students who have some experience of statistical analysis, but experience using LMEMs is not necessary.
The workshop will cover regression models and their extension to LMEMs, including issues such as model comparison and selection, random effects structure, and coding of contrasts. The format will mix presentation of the underlying theoretical concepts, discussion and hands-on work in R using sample datasets. By the end of the workshop students should be confident that they can 1) understand the fundamentals of linear mixed-effects modeling; 2) determine a model fitting approach that is suitable for their research design and dataset structure; 3) understand how to code models in R; 4) interpret the output of their modeling and report results in a manner appropriate for their thesis and journal publication.
The organiser of this event is Rachel Smith and further questions can be directed to her at email@example.com. Rooms will be announced closer to the event. Students without pre-existing sources of funding for travel can apply for travel expenses to be reimbursed after the event.
Details on how to get to the campus can be found here: http://www.gla.ac.uk/about/maps/howtogethere/
Please register through the Eventbrite page.
This page was last published on 24 October 2013