29 citations · 43 across the 6 of their papers we have counts for
6 papers
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…
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…
Enhancing statistical inference in psychological research via prospective and retrospective design analysis
Gianmarco Altoè, Giulia Bertoldo, Claudio Zandonella Callegher +4
In the past two decades, psychological science has experienced an unprecedented replicability crisis which uncovered several issues. Among others, statistical inference is too ofte…
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…
ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in {R}
Antonio Calcagnì, Massimiliano Pastore, Gianmarco Altoè
Recent technological advances have provided new settings to enhance individual-based data collection and computerized-tracking data have became common in many behavioral and social…