STEFANUTTI LUCA

Contacts
E-mail
56111f4b7f51be3749e358ff20899fb0
bring this page
with you
Structure Department of Philosophy, Sociology, Education and Applied Psychology
Telephone 0498276687
Qualification Professore associato confermato
Scientific sector M-PSI/03 - PSYCHOMETRICS
University telephone book  Show
 

Notice and additional information
Si avvisa che il ricevimento studenti del giorno 07/02/2019 è sospeso. Riprenderà regolarmente dalla settimana successiva.

Office hours
Thursday from 14:00 to 16:00 Via Venezia 14, Piano 4
(updated on 18/09/2019 15:14)

Proposals for thesis
- Funzioni esecutive di pianificazione nel bambino e nell'adulto: valutazione adattiva computerizzata

Curriculum Vitae
Luca Stefanutti is associate professor of Psychometrics and Quantitative Psychology at the School of Psychology, University of Padua. He is qualified as ordinary professor since 2017. He is member of the Association for Psychological Science (APS, United States) since 2017. He is member of the Doctoral School of Psychology in the same university since 2005. From 2004 to 2005 he was researcher at the University of Padua. From 2001 to 2003 he was Marie Curie fellow with a 2-years research grant at the University of Graz, Austria (supervisor: Dietrich Albert), funded by the EU. In 2000 he received the PhD degree in Psychology. His research activities include: mathematical psychology, formal models in psychology, psychometrics, formal models of learning, knowledge and skill assessment, intelligent tutoring systems, response times and formal models of response times and accuracy. His major international collaboration are with: Juergen Heller (University of Tuebingen, Germany); Dietrich Albert (University of Graz, Austria); Cord Hockemeyer (University of Graz, Austria); Jean-Paul Doignon (University of Brussels, Belgium); Mathieu Koppen (University Nijmegen, The Netherlands). He obtained a EU Erasmus+ strategic partnership and several Socrates Erasmus Intensive Programme projects (2015, 2012 and 2008) and several Italian projects (PRAT 2014, PRAT 2011 and PRAT 2009).

Research areas
Assessment of knowledge and learning
Mathematical models of the psychological processes
Intelligent tutoring systems
Reaction times
Psychometrics
Mathematical Psychology
Measurement

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

List of taught course units in A.Y. 2019/20
Degree course code (?) Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
PS2295 COMMON PSL1000629 12 2nd Year (2019/20) Second
semester
ITA LUCA STEFANUTTI
PS1085 COMMON PSL1000629 12 2nd Year (2019/20) First
semester
ITA EGIDIO ROBUSTO