4 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ME2023★ 4 cited
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…
stat.AP2022
Jointly modeling rating responses and times with fuzzy numbers: An application to psychometric data
Niccolò Cao, Antonio Calcagnì
In several research areas, ratings data and response times have been successfully used to unfold the stage-wise process through which human raters provide their responses to questi…
stat.AP2021★ 3 cited
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…