Introduction to statistical modelling for psychologists in R (IPSY02)
1 April 2019 - 5 April 2019
This course will provide an introduction to working with real-life data typical of those encountered in the field of psychology. The course will be delivered by Dr. Dale Barr and Dr. Luc Bussière, who are practicing academics in the fields of psychology and evolutionary biology respectively, with many years of expertise with R and statistical modelling as both scientists and instructors. This five-day course will consist of series of modules (each lasting roughly half a day) covering topics including the basic ‘canon’ of psychological statistics (t-test, correlation/regression, ANOVA) presented within the framework of general linear models, and building up to logistic regression and linear mixed-effects modelling. Along the way you will gain in-depth experience in data wrangling using the R ‘tidyverse’, data and model visualisation and plotting, as well as exploring and understanding model diagnostics. Classes will consist of a mixture of lectures and practical exercises designed to either build required skills for future modules or to perform a family of analyses that is frequently encountered in the psychological literature.
To find out more email email@example.com or to book online via our sister company (PS statistics) use the link below…
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)