Dr. Stefano Noventa

Wissenschaftlicher Mitarbeiter am Methodenzentrum

Haußerstr. 11
72076 Tübingen
 +49 7071 29 74 928
Fax: +49 7071 29 35264



  • 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



seit 10/2019
Wissenschaftlicher Mitarbeiter am Methodenzentrum

Universität Tübingen

02/2018 - 9/2019

am Methodenzentrum, Universität Tübingen

12/2016 - 02/2018

am Hector Institut für Empirische Bildungsforschung, Universität Tübingen

09/2012 - 08/2016

am Center of Assessment, University of Verona (Italien)

05/2011 - 04/2012

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

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

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

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

in Padova (Italien)

M.Sc. in Physik

an der University of Padova (Italien)

09/1999 - 03/2006
Studium der Physik

an der University of Padova (Italien)


Zeitschriftenartikel (Auswahl)

  • Heck*, D.W., Noventa*, S. (2020). Representing Probabilistic Models of Knowledge Space Theory by Multinomial Processing Tree Models. Journal of Mathematical Psychology, 96. DOI: 10.1016/ *shared co-first authorship
  • 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.
  • 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.
  • Ceschi A, Sartori R, Tommasi F, Noventa S, Morandini S, Zagarese V (2022). A
    combined resources-strength intervention: Empirical evidence from two streams
    of the positive psychology approach. INTERNATIONAL JOURNAL OF
    TRAINING AND DEVELOPMENT, ISSN: 1360-3736. Article
  • Noventa S, Heller J, Stefanutti L (2021). Some considerations on the
    factorization of state probabilities in knowledge structures. JOURNAL OF
    MATHEMATICAL PSYCHOLOGY, vol. 102, ISSN: 0022-2496, doi:
    10.1016/ Article
  • Vicovaro M, Noventa S, Ghiani A, Mena F, Battaglini L (2021). Evidence of
    Weight-Based Representations of Gravitational Motion. JOURNAL OF
    PERFORMANCE, vol. 47, p. 1445-1471, ISSN: 0096-1523. Article

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.