Dates/times: Sept. 23-24, 2015 10am-5pm
Location: Sackville St. Building, Manchester (near Piccadilly Station)
This workshop will introduce you to the most commonly used statistical methods (anova, regression) using the R language. It is designed for those who have taken stats before (e.g., UK Psychology undergraduate level) and want to have a deeper understanding of these methods as well as be able to do their analyses in R. In particular, newer methods such as mixed effects models will discussed. Examples will include data from eye-tracking, experimental designs with factors with three or more levels, and categorical dependent variables.
Here is a list of topics: R basics, t-tests, correlations, making graphs (e.g., multi-panel, heatmaps, fitted regression lines), anova (contrasts, posthocs), ancova, regression (linear, logistics, polynomial), linear model assumptions, coding variables (dummy, effect coding, residualization, centering) power analysis using simulation mixed effects models, model simplification (convergence) and model comparison. In addition, bootstrapping/permutation analyses will be applied to eye-tracking data and the advantages of these approaches for developmental phenomena will be discussed.
This workshop is sponsored by the ESRC LUCID centre (http://www.lucid.ac.uk/). There are about 20 seats available for external members. The fee for external students (up to PhD) is £50. For all others, the fee is £200. If you are interested, please contact franklin.chang@liverpool.ac.uk to be put on the list. You will be contacted later for confirmation and payment.
Lab sessions will take place after each lecture. A computer will be available for everyone. You are also welcome to bring your own laptop and use that. Snacks/coffee will not be provided, but there is a café on the first floor.