Personale docente

Gianmarco Altoe'
E-mail: gianmarco.altoe@unipd.it
Orari di ricevimento
Gio14:3016:30Presso DPSS - via Venezia, 8 (Terzo Piano)Il ricevimento di giovedì 30 ottobre è annullato causa impegni accademici.Il docente è comunque reperibile per emergenze via mailIl ricevimento si svolge ogni giovedì dalle 14.30 alle 16.30, in presenza (studio del docente - terzo piano, Psico1) e modalità telematica (Zoom: https://unipd.zoom.us/j/6048484311). Non si accettano prenotazioni.The office hour on Thursday, October 30, is cancelled due to academic commitments. The professor is still available by email in case of emergencies.Office hours are held every Thursday from 2:30 p.m. to 4:30 p.m., both in person (professor’s office – third floor, Psico1) and online (Zoom: https://unipd.zoom.us/j/6048484311). Advance appointments are not accepted.
Insegnamenti
ANALISI DEI DATI PER LE SCIENZE DEL COMPORTAMENTO, AA 2025 (PSP6074600)
PSICOMETRIA (Ult. numero di matricola dispari), AA 2025 (PSL1000629)
ANALISI DEI DATI PER LE SCIENZE DEL COMPORTAMENTO, AA 2024 (PSP6074600)
PSICOMETRIA (Ult. numero di matricola dispari), AA 2024 (PSL1000629)
Pubblicazioni
GoogleScholar: https://scholar.google.com/citations?hl=en&user=-N7efdEAAAAJ&view_op=list_works&sortby=pubdate
Area di ricerca
My research interests focus on statistical methods for psychological and medical sciences. Specific topics include:- power and design analysis- multiverse analysis- meta-research- psychometric properties of psychological tests- statistical reasoning - R, a free software environment for statistical computing and graphics
Tesi proposte
My research interests focus on statistical methods for psychological and medical sciences. Specific topics that can be the subject of theses include:
- power and design analysis
- multiverse analysis
- meta-research
- statistical reasoning
- psychometric properties of psychological tests
- applications with the free statistical software R
1.Bayesian and non-Bayesian methods for the Behavioral Sciences: structural equation models, mixed-effects models, meta-analysis, model comparison
2. Evaluation of psychometric properties and factorial structure of psychological tests
3. Meta-research
4. Multiverse analysis
5. Power and Design analysis

