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ENRICO TOFFALINI

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Position

Ricercatore a tempo det. art. 24 c. 3 lett. B L. 240/2010

Address

VIA VENEZIA, 8 - PADOVA

Telephone

0498276256

Assistant professor (RtdB) since October 2022, previously RtdA and research fellow, at the Department of General Psychology - University of Padua.

PhD in Psychological Science at the Doctoral School of Psychology, University of Padua. PhD obtained on April 18, 2016, with a thesis on "Inferential false memories for emotional events".

Master's degree in Experimental Psychology, obtained on June 20, 2012, at the University of Padua.

Scopus ID: 35273841300

ORCID ID: http://orcid.org/0000-0002-1404-5133

Notices

Office hours

  • Wednesday from 10:00 to 12:00
    at via Zoom al seguente link: https://unipd.zoom.us/j/5749565733
    Ricevimenti fuori dall'orario indicato devono essere concordati preventivamente col docente via email (enrico.toffalini@unipd.it).

Research Area

- Human intelligence
- Cognitive profiles in learning disorders
- Individual and gender differences in specific areas of cognitive functioning
- Time of testing and circadian rhythms: effects on cognitive performance
- Episodic memory: emotional false memories
- Meta-science, design analysis and planning research in psychology

Thesis proposals

I am available to supervise theses on any topic of a student's own interest, as long as it is in the context of general psychology.

Specific topics proposed for a bachelor or master thesis (different amount of work is required in the two cases) within the interests of the teacher are:
> Neurodiversity and the dimensional approach to neurodevelopmental disorders: Learning Disorders, ADHD, Autism and other conditions are actual categories or just lower ends of developmental continua? (*E or *R)
> Time processing and time management in children with ADHD (*E or *R)
> Beyond replicability: how mistakes in data analysis choices systematically produce false results in psychology; specific applications are proposed on cluster analysis, interactions, longitudinal models, network analysis and causal inference (*R)

(*E) = Collection of empirical data is required
(*R) = Literature review

A good knowledge of the Ms Office tools, and especially Excel, is strongly recommended. A good knowledge of the free software Jasp for statistical analysis is preferred. Knowledge of R is appreciated. In any case, I will supervise students throughout all steps of statistical analyses.