AIP Sperimentale 2024, 30° Congresso annuale

Session

Symposia

Sep 24, 2024, 9:00 AM

Conveners

Symposia: The Multiverse of Multi-labs. Methodological and Statistical Aspects of Multi-Lab and Multiverse Studies.

• Filippo Gambarota (Università degli Studi di Padova)

57. Multilab collaborations from the editor's perspective

Davide Crepaldi (SISSA)

9/24/24, 9:00 AM

Talk in simposio

There's no doubt that large-scale collaboration efforts are improving the precision and reliability of our science (wannabe) and, ultimately, the contribution of experimental psychology to the community at large. However, this radically new way of carrying out psychological research brings along several challanges. Some of these challenges are quite obvious and pervasive in our day-to-day...

12. The Multiverse of Multi-labs. Methodological and Statistical Aspects of Multi-Lab and Multiverse Studies.

Dr Filippo Gambarota (University of Padova), Davide Crepaldi (SISSA), Prof. Marco Tullio Liuzza (Università "Magna Graecia" di Catanzaro), Dr Giulia Calignano (University of Padova), Prof. livio finos, Dr Michele Scandola (Department of Human Sciences)

9/24/24, 9:00 AM

Abstract complessivo di un simposio

Modern research in psychology is adopting several tools to face the replicability and reproducibility crisis. In this context, multi-lab research combined with the multiverse approach is a very powerful yet complex approach. The symposium aims to present a modern overview of editorial aspects, statistical methods, and data management in the era of multi-lab and multiverse studies highlighting...

116. Data sharing and privacy: fatal attraction

Michele Scandola (Department of Human Sciences)

9/24/24, 9:10 AM

Talk in simposio

Open data is fundamental to open science, enhancing the trustworthiness and reproducibility of research alongside pre-registration. Many journals and European grants require data sharing and encourage compliance with the FAIR guidelines. However, despite its benefits, data sharing faces barriers, particularly around privacy.
GDPR mandates strict privacy protections that challenge the...

197. The Multiverse Approach in Multi-Lab Projects: Robustness Might Matter More Than Statistical Significance in Infancy Research

Giulia Calignano (University of Padova)

9/24/24, 9:25 AM

Talk in simposio

In this multi-lab study, we explored goal attribution in infants using various data analysis pipelines for pupillometry data from seven laboratories in Europe, the USA, and Canada. The main focus was on the multiverse approach, where data preprocessing is conceptualised as a garden of forking paths, each of which can dramatically affect subsequent statistical outcomes. This method shifts the...

149. Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test

Livio Finos

9/24/24, 9:40 AM

Talk in simposio

When analyzing data, researchers make some choices that are either arbitrary, based on subjective beliefs about the data-generating process, or for which equally justifiable alternative choices could have been made. This wide range of data-analytic choices can be abused and has been one of the underlying causes of the replication crisis in several fields. Recently, the introduction of...

468. General discussion

Dr Filippo Gambarota (University of Padova)

9/24/24, 9:55 AM