• 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/j.jmp.2020.102329. *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. 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.
• 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, doi:
  https://doi.org/10.1111/ijtd.12257
• 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:
  https://doi.org/10.1016/j.jmp.2021.102542
• Vicovaro M, Noventa S, Ghiani A, Mena F, Battaglini L (2021). Evidence of
  Weight-Based Representations of Gravitational Motion. JOURNAL OF
  EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND
  PERFORMANCE, vol. 47, p. 1445-1471, ISSN: 0096-1523, doi:
  https://doi.org/10.1037/xhp0000956

“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.