Matteo Manente
I am a Licensed Psychologist and PhD Candidate in Psychological Sciences at the University of Padova. I am also a member of the Psicostat research group (psicostat.dpss.psy.unipd.it)
My research combines clinical psychology and statistical methodology, with the goal of improving the robustness and transparency of psychological research.
I am currently developing and applying Inferential Multiverse Meta-analysis, moving beyond single effect sizes to examine how analytical decisions shape scientific conclusions.
University of Padova
Session
Meta-analyses are often considered the highest level of evidence, yet they remain highly sensitive to researcher degrees of freedom in study selection, outcome operationalization, and model specification. While Multiverse Analysis increases transparency by mapping analytic variability, most implementations remain descriptive and lack formal inferential control.
This project advances an inferential framework for Multiverse Meta-Analysis by integrating structured expert elicitation with Post-Selection Inference for Multiverse Analysis, a permutation-based approach that controls the Family-Wise Error Rate across correlated analytic pathways using max-t adjustment. Decision nodes will be identified from prior literature and expert input, synthesized into a validated multiverse, and executed under valid post-selection inference.
As a demonstration case, the framework will be applied to meta-analyses of Eye Movement Desensitization and Reprocessing (EMDR) therapy for Post-Traumatic Stress Disorder (PTSD), a guideline-recommended intervention with conflicting conclusions.