29 citations · 43 across the 6 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.AP2021
fIRTree: An Item Response Theory modeling of fuzzy rating data
Antonio Calcagnì
In this contribution we describe a novel procedure to represent fuzziness in rating scales in terms of fuzzy numbers. Following the rationale of fuzzy conversion scale, we adopted…
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…