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Domenico Vistocco

Biographic Data

ID272407
NAMEDomenico Vistocco
GIVEN NAMESDomenico
FAMILY NAMEVistocco
SIGNATUREVISTOCCO D
AFFILIATIONSUniversity of Naples Federico II
ORCID0000-0002-8541-6755
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS5
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Assessing heterogeneity in Mooc student performance through composite-based path modelling

    Open Access•Cristina Davino, Giuseppe Lamberti et al.•ARTICLE•Quality & Quantity•2024

  • Attachment to Peers and Parents in Italian Catholic Seminarians

    Open Access•Alfonso De Gregorio, Domenico Vistocco et al.•ARTICLE•Journal of Religion and Health•2023

  • Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective

    Open Access•Cristina Davino, Pasquale Dolce et al.•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 30

    Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…

  • Impact of organic and “protected designation of origin” labels in the perception of olive oil sensory quality

    Open Access•Sara Spognardi, Domenico Vistocco et al.•ARTICLE•British Food Journal•2021

    Purpose Investigate the behaviour and the habits of the consumers from central-southern Italy in relation to extra olive oil consumption, focussing on the impact of protected designation of origin (PDO) and EU–organic certification on purchase intention and quality perception. Design/methodology/approach A specific questionnaire was submitted to 160 consumers; a subsample of ten experts, ten semi-experts and ten habitual consumers of olive oil te…

  • Modelling students’ performance in Moocs

    Maria Carannante, Cristina Davino et al.•ARTICLE•Studies in Higher Education•2021

    Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based education allows to track all the actions of the students, thus providing an information base to understand…

  • Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models

    Open Access•Cristina Davino, Marco Gherghi et al.•ARTICLE•Social Indicators Research•2021•Cited by: 4•References: 8

    This article proposes a quantitative analysis to measure social vulnerability in a urban space, specifically in the area of the Municipality of Rome. Social vulnerability can be defined as a situation in which people are characterized by a condition of multidimensional deprivation that encompasses multiple aspects of life and exposes population to different risks and hazards produced by natural, environmental, socioeconomic and epidemic factors. …

  • Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models

    Open Access•Cristina Davino, Marco Gherghi et al.•ARTICLE•Social Indicators Research•2021•Cited by: 4•References: 8

    This article proposes a quantitative analysis to measure social vulnerability in a urban space, specifically in the area of the Municipality of Rome. Social vulnerability can be defined as a situation in which people are characterized by a condition of multidimensional deprivation that encompasses multiple aspects of life and exposes population to different risks and hazards produced by natural, environmental, socioeconomic and epidemic factors. …

  • Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective

    Open Access•Cristina Davino, Pasquale Dolce et al.•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 30

    Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…

  • Impact of organic and “protected designation of origin” labels in the perception of olive oil sensory quality

    Open Access•Sara Spognardi, Domenico Vistocco et al.•ARTICLE•British Food Journal•2021

    Purpose Investigate the behaviour and the habits of the consumers from central-southern Italy in relation to extra olive oil consumption, focussing on the impact of protected designation of origin (PDO) and EU–organic certification on purchase intention and quality perception. Design/methodology/approach A specific questionnaire was submitted to 160 consumers; a subsample of ten experts, ten semi-experts and ten habitual consumers of olive oil te…

  • Modelling students’ performance in Moocs

    Maria Carannante, Cristina Davino et al.•ARTICLE•Studies in Higher Education•2021

    Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based education allows to track all the actions of the students, thus providing an information base to understand…

  • Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models

    Open Access•Cristina Davino, Marco Gherghi et al.•ARTICLE•Social Indicators Research•2021•Cited by: 4•References: 8

    This article proposes a quantitative analysis to measure social vulnerability in a urban space, specifically in the area of the Municipality of Rome. Social vulnerability can be defined as a situation in which people are characterized by a condition of multidimensional deprivation that encompasses multiple aspects of life and exposes population to different risks and hazards produced by natural, environmental, socioeconomic and epidemic factors. …

  • Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective

    Open Access•Cristina Davino, Pasquale Dolce et al.•ARTICLE•Social Indicators Research•2022•Cited by: 1•References: 30

    Quantile composite-based path modeling is a recent extension to the conventional partial least squares path modeling. It estimates the effects that predictors exert on the whole conditional distributions of the outcomes involved in path models and provides a comprehensive view on the structure of the relationships among the variables. This method can also be used in a predictive way as it estimates model parameters for each quantile of interest a…

  • Attachment to Peers and Parents in Italian Catholic Seminarians

    Open Access•Alfonso De Gregorio, Domenico Vistocco et al.•ARTICLE•Journal of Religion and Health•2023

  • Assessing heterogeneity in Mooc student performance through composite-based path modelling

    Open Access•Cristina Davino, Giuseppe Lamberti et al.•ARTICLE•Quality & Quantity•2024

Psychology (5 works) · Computer Science (4 works) · Social Psychology (3 works) · Business (2 works) · Data science (2 works) · Geography (2 works) · Machine learning (2 works) · Mathematics (2 works) · Mathematics education (2 works) · Multivariate statistics (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae