BEYOND classical p-values
Statistical and AI methods for better inferences in Psychology
BEYOND is a methodological Doctoral school organised by methodological research groups at DIPSCO, UniTrento, i.e. QPsyLab, WeBo Lab and CogNosco Lab.
BEYOND will take place in Rovereto at the Department of Psychology and Cognitive Science from May 26 to May 31.
Aim
Conventional Null Hypothesis Significance Tests (NHSTs) have long been central to psychological research. However, several novel methodologies now seek to move beyond the mere calculation of p-values for inferential statistics in psychological studies. This school will offer a series of intensive courses and seminars designed to enhance inferential analyses through innovative approaches, including statistical permutation tests, advanced network psychometrics, and machine learning techniques from artificial intelligence. Consequently, BEYOND will empower transdisciplinary approaches, connecting several communities of postgraduate researchers with keen interests in data science, psychometrics, statistica and artificial intelligence. The school will thus differentiate itself from other initiatives already established and led by Universities within our geographical area.
Participants
BEYOND is meant for Doctoral students in social sciences, with a special focus, but not limited to, Psychology. Postdocs and young resewrachers interested in alternatives to NHST are welcomed. The maximum capacity is of 30 participants.
Outline
BEYOND will feature a total of 30 hours of face-to-face lectures, a social event and plenty of opportunities to network, discuss psychological data and models and enjoy scientific exchanges.
BEYOND's Keynote Speakers:
Prof. Hudson Golino
University of Virginia (USA)
Hudson is Associate Professor of Psychology at the University of Virginia. His reasearvh interests pertain quantitative methods, psychometrics and machine learning applied in the fields of psychology, health and education.
Prof. David Goretzko
University of Utrecht (NL)
David is an Assistant Professor at the Department of Methodology and Statistics. His research primarily focuses on the integration of modern data science/machine learning methods and psychometrics.
Prof. Livio Finos
University of Padova (IT)
Livio is Full Professor in Statistics at the University of Padova and is a founding member of the Psicostat group. His research interests include conditional resampling based methods and selective inference.
Prof. Massimiliano Pastore
University of Padova (IT)
Massimiliano is Full Professor in Psychometrics at the University of Padova and is a founding member of the Psicostat group. His main research interests concern meta-research, bayesian statistics and multiverse analysis .
Prof. Alessio Farcomeni
University of Rome - Tor Vergata (IT)
Alessio is Full Professor in Statistics at the University of Rome - Tor Vergata. His main research interests concern latent variable models, robust methods, population size estimation, quantile regression.
Prof. Angela Andreella
University of Trento (IT)
Angela is a researcher in Statistics at the University of Trento. Her main research interests include selective inference, permutation tests, and social statistic.
Prof. Ottavia Epifania
University of Trento (IT)
Ottavia is a reseacher in Psychometrics at the University of Trento and a member of the Psicostat Core Team. Her reseacher interests mostly focus on IRT and latent variable models.
Prof. Massimo Stella
University of Trento (IT)
Massimo is Senior Researcher and PI of CogNosco Lab at the University of Trento. He works in cognitive data science and AI Psychometrics, extracting insights from numerical and textual data produced by humans and LLMs.
Location
Palazzo dell'Istruzione, Dept. of Psychology and Cognitive Science (DIPSCO), Corso Bettini 84, Rovereto, Trento, Italy.
