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of 149
pro vyhledávání: '"calcagnì, antonio"'
Publikováno v:
Journal of the Royal Statistical Society Series C, Oxford University Press, 2024
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 individuals providing deceptive or careless responses. We propose a compr
Externí odkaz:
http://arxiv.org/abs/2311.15988
In several observational contexts where different raters evaluate a set of items, it is common to assume that all raters draw their scores from the same underlying distribution. However, a plenty of scientific works have evidenced the relevance of in
Externí odkaz:
http://arxiv.org/abs/2309.15076
Autor:
Girardi, Paolo, Vesely, Anna, Lakens, Daniël, Altoè, Gianmarco, Pastore, Massimiliano, Calcagnì, Antonio, Finos, Livio
When analyzing data researchers make some decisions that are either arbitrary, based on subjective beliefs about the data generating process, or for which equally justifiable alternative choices could have been made. This wide range of data-analytic
Externí odkaz:
http://arxiv.org/abs/2210.02794
Autor:
Cao, Niccolò, Calcagnì, Antonio
Publikováno v:
Mathematics, MDPI, 2022, 10(7), 1025
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 questionnaires and social surveys. A limitation of the standard approach to
Externí odkaz:
http://arxiv.org/abs/2203.04558
Autor:
Calcagnì, Antonio, Lombardi, Luigi
Publikováno v:
IPMU22, Communications in Computer and Information Science, vol 1602, Springer, 2022
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 model with the aim of representing the stage-wise mechanisms of direct
Externí odkaz:
http://arxiv.org/abs/2201.02870
Autor:
Calcagnì, Antonio
Publikováno v:
Communications in Mathematics and Statistics, Springer, 2022
This research concerns the estimation of latent linear or polychoric correlations from fuzzy frequency tables. Fuzzy counts are of particular interest to many disciplines including social and behavioral sciences, and are especially relevant when obse
Externí odkaz:
http://arxiv.org/abs/2105.03309
Publikováno v:
Fuzzy Sets and Systems, Elsevier, 2022
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 of the interplay between cognitive, affective, and contextual factors,
Externí odkaz:
http://arxiv.org/abs/2102.04273
Autor:
Calcagnì, Antonio
Publikováno v:
IFSA-EUSFLAT 2021, Atlantis Studies in Uncertainty Modelling (vol. 3), 2021, 471-479
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 two-step procedure based on a psychometric model (i.e., Item Respons
Externí odkaz:
http://arxiv.org/abs/2102.02025
Autor:
Calcagnì, Antonio, Lombardi, Luigi
Publikováno v:
AStA Advances in Statistical Analysis, Springer, 2021
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 making in rating processes, final raters' choices seldom reflect the tru
Externí odkaz:
http://arxiv.org/abs/2006.16051
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