Address book
Contacts
LUCA STEFANUTTI
Position
Professore Ordinario
Address
VIA VENEZIA, 14 - PADOVA
Telephone
0498276687
Luca Stefanutti is full professor of psychometrics and quantitative psychology (Disciplinary Scientific Sector PSIC-01/C) at the School of Psychology and the School of Human Sciences of the University of Padua. He has been a member of the Board of the Doctoral School in Psychological Sciences at the same university since 2005. He coordinates the Internationalization Group of the FISPPA Department. He is a member of the scientific board of the Journal of Mathematical Psychology. His main research topics include measurement in psychology and social sciences, quantitative psychology and mathematical psychology, mathematical and statistical models of cognitive processes, decision-making, reaction time analysis, adaptive assessment of skills and knowledge in educational, cognitive, and neuropsychological fields, intelligent tutoring systems, and applications of artificial intelligence in education. He has collaborations with several European universities, including the University of Tuebingen, the University of Innsbruck, the Vrije Universiteit Brussel, and the University of Graz.
Notices
Orari di ricevimento
Mar14:3016:30Via Venezia 14, Piano 4Il ricevimento studenti avviene in modalità telematica o telefonica. \nPer la modalità telematica, utilizzare il seguente link durante gli orari di ricevimento:\n\nhttps://unipd.zoom.us/j/284702055\n\nPer effettuare il ricevimento è necessario prenotare via e-mail entro il giorno prima.\n\nN.B. Il ricevimento studenti è sospeso. Riprenderà dal giorno 07/01/2025\n\n\n
Publications
Anselmi, P., Robusto, E., & Stefanutti, L. (2010). Assessing learning pro-
cesses with a gain-loss model. In (Vol. 1, p. 180-183). (cited By 0)
Anselmi, P., Robusto, E., & Stefanutti, L. (2012). Uncovering the best skill
multimap by constraining the error probabilities of the gain-loss model.
Psychometrika, 77 (4), 763-781. (cited By 1) doi: 10.1007/s11336-012-
9286-0
Anselmi, P., Robusto, E., & Stefanutti, L. (2013). A procedure for
identifying the best skill multimap in the gain-loss model. Elec-
tronic Notes in Discrete Mathematics, 42 , 9-16. (cited By 1) doi:
10.1016/j.endm.2013.05.140
Anselmi, P., Robusto, E., Stefanutti, L., & de Chiusole, D. (2016). An
upgrading procedure for adaptive assessment of knowledge. Psychome-
trika, 81 (2), 461-482. (cited By 0) doi: 10.1007/s11336-016-9498-9
Anselmi, P., Vianello, M., Stefanutti, L., & Robusto, E. (2013). A pois-
son race model for the analysis of the implicit association test. TPM
- Testing, Psychometrics, Methodology in Applied Psychology, 20 (3),
249-261. (cited By 1) doi: 10.4473/TPM20.3.4
Chiusole, D., Stefanutti, L., Anselmi, P., & Robusto, E. (2015). Nave tests
of basic local independence model’s invariance. The Spanish journal of
psychology, 18 , E26. (cited By 0) doi: 10.1017/sjp.2015.24
De Chiusole, D., Anselmi, P., Stefanutti, L., & Robusto, E. (2013).
The gain-loss model: Bias of the parameter estimates. Electronic
Notes in Discrete Mathematics, 42 , 33-40. (cited By 0) doi:
10.1016/j.endm.2013.05.143
De Chiusole, D., & Stefanutti, L. (2011). Rating, ranking, or both? a joint
application of two probabilistic models for the measurement of values.
TPM - Testing, Psychometrics, Methodology in Applied Psychology,
18 (1), 49-60. (cited By 1)
De Chiusole, D., & Stefanutti, L. (2013). Modeling skill dependence in prob-
abilistic competence structures. Electronic Notes in Discrete Mathe-
matics, 42 , 41-48. (cited By 0) doi: 10.1016/j.endm.2013.05.144
de Chiusole, D., Stefanutti, L., Anselmi, P., & Robusto, E. (2013). Assessing
parameter invariance in the blim: Bipartition models. Psychometrika,
78 (4), 710-724. (cited By 2) doi: 10.1007/s11336-013-9325-5
Heller, J., Augustin, T., Hockemeyer, C., Stefanutti, L., & Albert, D.
(2013). Recent developments in competence-based knowledge space the-
ory. (cited By 0) doi: 10.1007/978-3-642-35329-1 12
Heller, J., Stefanutti, L., Anselmi, P., & Robusto, E. (2015). On the link
between cognitive diagnostic models and knowledge space theory. Psy-
chometrika, 80 (4), 995-1019. (cited By 1) doi: 10.1007/s11336-015-
9457-x
Heller, J., Stefanutti, L., Anselmi, P., & Robusto, E. (2016). Erratum to
on the link between cognitive diagnostic models and knowledge space
theory [psychometrika, (2015), 80, 4, (995-1019), doi 10.1007/s11336-
015-9457-x]. Psychometrika, 81 (1), 250-251. (cited By 1) doi:
10.1007/s11336-015-9494-5
Noventa, S., Stefanutti, L., & Vidotto, G. (2014a). An analysis of item
response theory and rasch models based on the most probable distri-
bution method. Psychometrika, 79 (3), 377-402. (cited By 1) doi:
10.1007/s11336-013-9348-y
Noventa, S., Stefanutti, L., & Vidotto, G. (2014b). A derivation of
the polytomous rasch model based on the most probable distribution
method. Spanish Journal of Psychology, 17 (2). (cited By 0) doi:
10.1017/sjp.2014.81
Research Area
Assessment of knowledge and learning\nMathematical models of the psychological processes\nIntelligent tutoring systems\nReaction times\nPsychometrics\nMathematical Psychology\nMeasurement
Thesis proposals
- Computerized adaptive assessment in psychology and in neuropsychology
- Delayed gratification and impulsivity
