7 citations · 22 across the 7 of their papers we have counts for
7 papers
A novel CFA+EFA model to detect aberrant respondents
Niccolò Cao, Livio Finos, Luigi Lombardi +1
Aberrant respondents are common but yet extremely detrimental to the quality of social surveys or questionnaires. Recently, factor mixture models have been employed to identify ind…
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students
Katherine Abramski, Salvatore Citraro, Luigi Lombardi +2
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating h…
A probabilistic tree model to analyze fuzzy rating data
Antonio Calcagnì, Luigi Lombardi
In this contribution we provide initial findings to the problem of modeling fuzzy rating responses in a psychometric modeling context. In particular, we study a probabilistic tree…
A psychometric modeling approach to fuzzy rating data
Antonio Calcagnì, Niccolò Cao, Enrico Rubaltelli +1
Modeling fuzziness and imprecision in human rating data is a crucial problem in many research areas, including applied statistics, behavioral, social, and health sciences. Because…
Modeling random and non-random decision uncertainty in ratings data: A fuzzy beta model
Antonio Calcagnì, Luigi Lombardi
Modeling human ratings data subject to raters' decision uncertainty is an attractive problem in applied statistics. In view of the complex interplay between emotion and decision ma…
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
Marco D'Alessandro, Stefan T. Radev, Andreas Voss +1
Adaptive behavior emerges through a dynamic interaction between cognitive agents and changing environmental demands. The investigation of information processing underlying adaptive…
A state space approach to dynamic modeling of mouse-tracking data
Antonio Calcagnì, Luigi Lombardi, Marco D'Alessandro
Mouse-tracking recording techniques are becoming very attractive in experimental psychology. They provide an effective means of enhancing the measurement of some real-time cognitiv…