Multilevel Modeling Using R Workshop
June 11-15, 2018
Drs. D. Betsy McCoach & Randi Garcia
This week-long workshop on Multilevel Modeling Using R will be held at the University of Connecticut from Monday, June 11, through Friday, June 15, 2018. This workshop covers the basics and applications of multilevel modeling with extensions to more complex designs. Participants will learn how to analyze both organizational and longitudinal (mostly growth curve) data using multilevel modeling and to interpret the results from their analyses. Although the workshop does not require any prior knowledge or experience with multilevel modeling, participants are expected to have a working knowledge of multiple regression as well as some experience using statistical software (such as SPSS, SAS, R, Stata). Instruction consists of lecture, computer workshops, and individualized consultations. The emphasis will be practical with minimal emphasis on statistical theory, but those seeking more statistical information can arrange an individualized session with the instructors. A teaching assistant will also be available for consultation and assistance.
All analyses will be demonstrated using R. We will also provide set-ups in HLM for some of the analyses that we present. Instruction will consist of lectures, computer demonstrations of data analyses, and hands-on opportunities to analyze practice data sets using R. The workshop emphasizes practical applications and places minimal emphasis on statistical theory. The workshop takes place in a computer lab, so you do not need to bring a laptop. No prior familiarity with R is required, but if you have never used R and want to gain a general proficiency working with data in R, we encourage you to take the two-day DATIC Intro to R and RStudio workshop held on Thursday, June 7, through Friday, June 8, 2018. In this Multilevel Modeling workshop we will focus solely on running multilevel organizational and longitudinal models in R. Several R setups will be given for data organization, analysis, and write-ups. Although prior experience with R is not required, it is certainly helpful. Also in meetings with individual participants, alternative programs and approaches (e.g., SPSS, HLM, MLwiN, SAS, Stata, and Mplus) can be discussed.