| A psychometric modeling approach to fuzzy rating data A Calcagnì, N Cao, E Rubaltelli, L Lombardi Fuzzy Sets and Systems 447, 76-99, 2022 | 13 | 2022 |
| A novel CFA+ EFA model to detect aberrant respondents N Cao, L Finos, L Lombardi, A Calcagnì Journal of the Royal Statistical Society Series C: Applied Statistics 73 (5 …, 2024 | 1 | 2024 |
| Jointly modeling rating responses and times with fuzzy numbers: An application to psychometric data N Cao, A Calcagnì Mathematics 10 (7), 1025, 2022 | 1 | 2022 |
| A new factor mixture model to detect aberrant respondents N Cao, L Finos, L Lombardi, A Calcagnì Book of Abstract: 2024 International Meeting of the Psychometric Society …, 2024 | | 2024 |
| Mixing CFA and EFA to handle data heterogeneity N Cao, A Calcagnì, L Finos 51st Meeting of the European Mathematical Psychology Group (EMPG), 13-13, 2022 | | 2022 |
| Twitting about COVID-19: An application of Structural Topic Models to a sample of Italian tweets N Cao, A Calcagnì, L Finos IES 2022-BOOK OF SHORT PAPERS, 549-554, 2022 | | 2022 |
| Fuzzy Regression Analysis of fIRT-Tree-based data N Cao, A Calcagnì 4th AFU INTERNATIONAL CONFERENCE-Abstract Booklet, 120-120, 2021 | | 2021 |
| Un modello di mistura CFA per campioni eterogenei: uno studio di simulazione N CAO | | |
