A roadmap to reproducible, transparent, and rigorous Experience Sampling Method research by Dr Ginette Lafit & Dr Olivia Kirtley

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About the speakers

Dr Ginette Lafit is a postdoctoral researcher at the Research Group of Quantitative Psychology and Individual Differences and the Center of Contextual Psychiatry at KU Leuven, Belgium. Ginette works in the field of statistics applied to psychology. Her research is focused on addressing methodological complexities and developing statistical methods for the analysis of intensive longitudinal data. To make the statistical methods easily available, Ginette develops open-source software. Open source code is available on her GitHub. She is an applied statistician, with interests in high-dimensional covariance selection, mixed models applied to intensive longitudinal data, and #Rstats.

Dr Olivia Kirtley is a Research Foundation Flanders Senior Postdoctoral Research Fellow in the Center for Contextual Psychiatry, KU Leuven, Belgium. Her research focuses on using the experience sampling method (ESM) to investigate dynamic processes involved in suicidal thoughts and behaviours among young people, with a focus on social processes and future thinking. Olivia also leads several initiatives to increase transparency and reproducibility in clinical psychology and ESM research, including designing a preregistration template for experience sampling research and leading the ESM Item Repository.

About the talk

This talk will introduce the Open Handbook of Experience Sampling Methodology, and recent initiatives to boost the transparency, reproducibility, and rigour of daily-life research. These include the creation of registration templates, user-friendly apps to calculate sample size and statistical power, and the ESM Item Repository, an open bank of items for use in daily life research.

To join the event, follow this link.