Antonio Calcagnž
Antonio Calcagnž
Tenure-track Assistant professor, DPSS, University of Padua
Verified email at - Homepage
Cited by
Cited by
Measuring distribution similarities between samples: a distribution-free overlapping index
M Pastore, A Calcagnž
Frontiers in Psychology 10, 2019
Analyzing spatial data from mouse tracker methodology: An entropic approach
A Calcagnž, L Lombardi, S Sulpizio
Behavior Research Methods, 1-19, 2017
Are children with developmental dyslexia all the same? A cluster analysis with more than 300 cases
D GiofrŤ, E Toffalini, S Provazza, A Calcagnž, G AltoŤ, DJ Roberts
Dyslexia 25 (3), 284-295, 2019
Can mentoring promote self-esteem and school connectedness? An evaluation of the mentor-UP project
C Marino, M Santinello, M Lenzi, P Santoro, M Bergamin, M Gaboardi, ...
Psychosocial Intervention 29 (1), 2020
Dynamic Fuzzy Rating Tracker (DYFRAT): A novel methodology for modeling real-time dynamic cognitive processes in rating scales
A Calcagnž, L Lombardi
Applied Soft Computing 24 (1), 948-961, 2014
Generalized cross entropy method for analysing the SERVQUAL model
E Ciavolino, A Calcagnž
Journal of Applied Statistics 42 (3), 520-534, 2015
Enhancing statistical inference in psychological research via prospective and retrospective design analysis
G AltoŤ, G Bertoldo, C Zandonella Callegher, E Toffalini, A Calcagnž, ...
Frontiers in Psychology 10, 2893, 2020
A generalized maximum entropy (GME) estimation approach to fuzzy regression model
E Ciavolino, A Calcagnž
Applied Soft Computing 38, 51-63, 2016
Factors associated with providers’ work engagement and Burnout in homeless services: A cross‐national study
M Lenzi, M Santinello, M Gaboardi, F Disperati, A Vieno, A Calcagnž, ...
American Journal of Community Psychology 67 (1-2), 220-236, 2021
Less is more: Morphometric and psychological differences between low and high reappraisers
E Pappaianni, N De Pisapia, R Siugzdaite, C Crescentini, A Calcagnž, ...
Cognitive, Affective, & Behavioral Neuroscience 20 (1), 128-140, 2020
A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model
E Ciavolino, A Calcagnž
Quality & Quantity 48 (6), 3401-3414, 2014
Obstructive sleep apnea syndrome and olfactory perception: An OERP study
S Invitto, A Calcagnž, G Piraino, V Ciccarese, M Balconi, M De Tommaso, ...
Respiratory Physiology & Neurobiology 259, 37-44, 2019
A fuzzy set theory based computational model to represent the quality of inter-rater agreement
E Ciavolino, S Salvatore, A Calcagnž
Quality & Quantity 48 (4), 2225-2240, 2014
Using Z and age‐equivalent scores to address WISC‐IV floor effects for children with intellectual disability
E Toffalini, S Buono, T Zagaria, A Calcagnž, C Cornoldi
Journal of Intellectual Disability Research 63 (6), 528-538, 2019
Non-convex fuzzy data and fuzzy statistics: a first descriptive approach to data analysis
A Calcagnž, L Lombardi, E Pascali
Soft Computing 18 (8), 1575-1588, 2014
Measuring Distribution Similarities Between Samples: A Distribution-Free Overlapping Index. Front Psychol, 10, 1089
M Pastore, A Calcagnž
A dimension reduction technique for two-mode non-convex fuzzy data
A Calcagnž, L Lombardi, E Pascali
Soft Computing 20 (2), 749-762, 2016
Less is more: Psychological and morphometric differences between low vs high reappraisers
E Pappaianni, N De Pisapia, R Siugzdaite, C Crescentini, A Calcagnž, ...
Cogn. Affect. Behav. Neurosci 20, 128-140, 2019
A psychometric modeling approach to fuzzy rating data
A Calcagnž, N Cao, E Rubaltelli, L Lombardi
Fuzzy Sets and Systems, 2022
Are there local differences in support for violent radicalization? a study on college students in the province of Quebec, Canada
D Miconi, A Calcagnž, A Mekki‐Berrada, C Rousseau
Political Psychology 42 (4), 637-658, 2021
The system can't perform the operation now. Try again later.
Articles 1–20