Methods Center

Dr. Stefano Noventa

Research Fellow at the Methods Center

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


Main research

  • 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

Research Projects

Curriculum Vitae

since 10/19
Research Fellow at the Methods Center

University of Tübingen

02/2018 - 09/19
Post Doc

at the Methods Center, University of Tübingen

12/2016 - 02/2018
Post Doc

at the Hector Institute of Education Science and Psychology, University of Tübingen

09/2012 - 08/2016
Post Doc

at the Center of Assessment, University of Verona (Italy)

05/2011 - 04/2012
Post Doc

at the Department of General Psychology, University of Padova (Italy)

Ph.D. in Cognitive Psychology

at the University of Padova (Italy)

Topic: 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

at the University of Toronto (Canada)

09/2009 - 12/2009
International visiting graduate student

at the University of Toronto (Canada)

01/2008 - 01/2011
Doctoral candidate

at the University of Padova (Italy), Department of Social and Developmental Psychology

09/2006 - 02/2007
Programmer at CSIO S.r.l.

in Padova (Italy)

M.Sc. in Physics

(score 110/110) at the University of Padova (Italy)

09/1999 - 03/2006
Studies in Physics

at the University of Padova (Italy)


Journal articles (selected)

  • Noventa, S., Ye, S., Kelava, A., & Spoto, A. (2024). On the
    Identifiability of 3-and 4-Parameter Item Response Theory Models From
    the Perspective of Knowledge Space Theory. Psychometrika, 1-31.
  • Ye, S., Kelava, A., & Noventa, S. (2023). Parameter estimation of
    KST-IRT model under local dependence. Psych, 5(3), 908-927.
  • 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
  • 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
  • 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
  • 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.

Presentations at Conferences

“A graphical taxonomy of assessment models” at the International Meeting of the Psychometric Society IMPS 2019, Santiago de Chile and the European Mathematical Psychology Group, EMPG 2019, Heidelberg.

“On a Generalization of Local Independence in Item Response Theory” at the conference Psychometric Computing, Psychoco 2019, Prague. 

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

“On an generalization of local independence in item response theory based on knowledge space theory” at the first Cognitive Diagnostic Models workshop CDM 2019, Dortmund.