Methodenzentrum

Dr. Stefano Noventa

Wissenschaftlicher Mitarbeiter am Methodenzentrum

Büro
Methodenzentrum
Hölderlinstraße 29
72074 Tübingen
 +49 7071 29 74 928
Fax: +49 7071 29 35264
stefano.noventaspam prevention@uni-tuebingen.de


Forschung

Schwerpunkte

  • Mathematical Psychology, Psychometrics and Psychophysics
    (interdisciplinary applications of methods)
  • potential bridging theories between quantitative approaches to assessment (like Item Response Theory) and qualitative ones (like Knowledge Space Theory)
  • latent variable models and their applications to Education, Entrepreneurship, Social and Organizational Psychology

Forschungsprojekte

  • NON-NORM Projekt

Weitere Informationen


Kurzvita

seit 10/2019
Wissenschaftlicher Mitarbeiter am Methodenzentrum

Universität Tübingen

02/2018 - 9/2019
Postdoktorand

am Methodenzentrum, Universität Tübingen

12/2016 - 02/2018
Posdoktorand

am Hector Institut für Empirische Bildungsforschung, Universität Tübingen

09/2012 - 08/2016
Postdoktorand

am Center of Assessment, University of Verona (Italien)

05/2011 - 04/2012
Postdoktorand

an der Fakultät für Allgemeine Psychologie, University of Padova (Italien)

03/2011
Ph.D. in Kognitiver Psychologie

University of Padova (Italien) Thema: A variational approach to Perception and Psychophysics (Supervisors: Prof. Dr. Giulio Vidotto, Prof. Dr. Roberto dell'Acqua)

08/2010 - 12/2020
International visiting graduate student

University of Toronto (Kanada)

09/2009 - 12/2009
International visiting graduate student

University of Toronto (Kanada)

01/2008 - 01/2011
Doktorand

an der University of Padova (Italien), Fakultät für Sozial- und Entwicklungspsychologie

09/2006 - 02/2007
Programmierer bei CSIO S.r.l.

in Padova (Italien)

03/2006
M.Sc. in Physik

an der University of Padova (Italien)

09/1999 - 03/2006
Studium der Physik

an der University of Padova (Italien)


Publikationen

Zeitschriftenartikel (Auswahl)

  • Bottesi, G., Noventa, S., Freeston, & M., Ghisi, M. (2019). Seeking certainty about Intolerance of Uncertainty: addressing old and new issues through the Intolerance of Uncertainty Scale-Revised. Plos One. doi.org/10.1371/journal.pone.0211929
  • Vicovaro, M., Noventa, S., & Battaglini, L. (2019). Intuitive physics of gravitational motion as shown by perceptual judgment and prediction-motion tasks. Acta Psychologica, 194, 51-62.
  • Noventa, S., Spoto, A., Heller, J., Kelava, A. (2018). On a generalization of local independence in item response theory based on knowledge space theory. Psychometrika. DOI: 10.1007/s11336-018-9645-6
  • Battaglini, L., Noventa, S., Casco, L. (2017). Anodal and cathodal electrical stimulation over V5 improves motion perception by signal enhancement and noise reduction. Brain Stimulation, 10(4), 773-779.
  • Scalco, A., Noventa, S., Sartori, R., Ceschi, A. (2017). Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior. Appetite, 112(1), 235-248.
  • Gronchi G, Raglianti M, Noventa S, Lazzeri A and Guazzini A (2016). Modeling the overalternating bias with an asymmetric entropy measure. Frontiers in Psychology. 7:1027. doi:10.3389/fpsyg.2016.01027
  • Noventa S, Cubico S, Ardolino P, Favretto G, Leitão J. (2016). Assessing the relation between entrepreneurial environment and institutions and aptitude towards entrepreneurship: An experience in Veneto’s vocational schools, In Leitão, J. & H. Alves (Eds.) (2016). Entrepreneurial and Innovative Practices in Public Institutions: A Quality of Life Approach, Applying Quality of Life Research: Best Practices, Springer.
  • Ardolino P, Noventa S*, Formicuzzi M, Cubico S, Favretto G (2016) Multiple integrated exams: an observational study of different academic curricula based on a Business Administration assessment. Higher Education, 71(1), 59-79. DOI 10.1007/s10734-015-9888-4 * corresponding author
  • Noventa S, Anselmi P, Tagliabue M, Vidotto G (2014). Functional measurement in consumer evaluation of market products. Psicológica, 35, 527-541.
  • Noventa S, Stefanutti L, Vidotto G (2014). An analysis of item response Theory and Rasch models based on the most probable distribution method. Psychometrika, 79(3), 377-402.
  • Noventa S, Stefanutti L, Vidotto G (2014). A derivation of the Polytomous Rasch model based on the most probable distribution method. The Spanish Journal of Psychology, 17, e84, 1-8.
  • Noventa S, Vidotto G (2012). A variational approach to behavioral and neuroelectrical laws. Biological Cybernetics, 106(6-7), 339-358.

Vorträge an wissenschaftlichen Konferenzen

“A graphical taxonomy of assessment models” im Rahmen des International Meeting of the Psychometric Society IMPS 2019, Santiago de Chile und der European Mathematical Psychology Group, EMPG 2019, Heidelberg.

“On a Generalization of Local Independence in Item Response Theory” auf der Konferenz Psychometric Computing, Psychoco 2019, Prague. 

“On a Generalization of Local Independence in Item Response Theory” im Rahmen der Working Group for Structural Equation Models 2019, Tübingen.

“On an generalization of local independence in item response theory based on knowledge space theory” im Rahmen des ersten Cognitive Diagnostic Models workshop CDM 2019, Dortmund.