On Monday 17 July, we are offering a series of interesting methods and analysis workshops using R in advance of the conference opening ceremony that evening. These will take place in a computer lab at the conference venue.
Each workshop has a maximum capacity of 80 places and are FREE for conference delegates. You can register for a place at one or more of these workshops as part of the conference online booking process (at the final stage of the checkout process). We recommend booking early!
Workshop Schedule, Monday 17 July 2023
10.00-12.00 Mixed effects modelling: A brief introduction with applications in R
(Dr Andrew Johnson and Dr Georg Krammer)
In recent years, mixed models have become popular with scientists, most notably owing to their advantages with missing data. Mixed modelling has been described as a statistical method that allows researchers to “use all of their data”.
Owing to the apparent complexity of the technique, however, many scientists are reluctant to attempt to apply mixed modelling within their own data. In this workshop, we present a brief background on mixed models, and compare the analysis to other popular analytic frameworks (most notably ANOVA).
The workshop will take a pragmatic approach to the application of mixed effects modelling, and will provide hands-on demonstrations using R.
12.30-14.30 Psychometrics in R (Professor William Revelle)
The statistical system, R, has become the lingua franca of statistical research and practice. Incorporating more than 20,000 separate packages, R can be used to answer practically any analysis problem.
The psych (Revelle, 2022) and lavaan (Rosseel, 2012) packages have been designed specifically to address issues relevant for psychometrics. psych is a Swiss Army knife for personality and individual differences. It is not the best tool for any problem, it is however useful for many problems.
This short course will review how to use psych for reading, describing, and graphing data. Applications for factor analysis, scale construction, reliability, mediation, validation and cross validation will be discussed. How to form scales using internal consistency and Machine Learning approaches will be considered. Time permitting, how to use lavaan for CFA and SEM also will be discussed.
15.00-17.00 An introduction to network analysis in personality psychology (Dr Giulio Costantini)
Several psychological dynamics can be modeled as networks of interacting elements. Different types of networks convey unique types of information. We focus on estimating networks from longitudinal data.
I will introduce between-subject networks, which encode dynamics that involve stable individual differences, and two types of within-subject networks, contemporaneous and cross-lagged, which encode dynamics that involve momentary levels of certain individual characteristics and their relationships over time.
I will present practical tools for estimating such networks in different scenarios, using the R statistical language.