Cristina Davino
Biographic Data
| ID | 3942354 |
|---|---|
| NAME | Cristina Davino |
| GIVEN NAMES | Cristina |
| FAMILY NAME | Davino |
| SIGNATURE | DAVINO C |
| AFFILIATIONS | University of Naples Federico II |
| ORCID | 0000-0003-1154-4209 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Assessing heterogeneity in Mooc student performance through composite-based path modelling
Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
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…
Modelling students’ performance in Moocs
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
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. …
An Attitude Model of Environmental Action
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
Survey Data Collection and Integration
Assessment of Composite Indicators Using the Anova Model Combined with Multivariate Methods
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
Measuring Social Vulnerability in an Urban Space Through Multivariate Methods and Models
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. …
An Attitude Model of Environmental Action
Assessment of Composite Indicators Using the Anova Model Combined with Multivariate Methods
Composite-Based Path Modeling for Conditional Quantiles Prediction. An Application to Assess Health Differences at Local Level in a Well-Being Perspective
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…
Survey Data Collection and Integration
Assessment of Composite Indicators Using the Anova Model Combined with Multivariate Methods
A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being
An Attitude Model of Environmental Action
Modelling students’ performance in Moocs
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
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
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…
Assessing heterogeneity in Mooc student performance through composite-based path modelling
Computer Science (7 works) · Mathematics (4 works) · Psychology (4 works) · Statistics (4 works) · Econometrics (3 works) · Machine learning (3 works) · Multivariate statistics (3 works) · Composite indicator (2 works) · Data science (2 works) · Economic geography (2 works)