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Emanuele Fino

Bio: Emanuele Fino is an academic researcher from Nottingham Trent University. The author has contributed to research in topics: Confirmatory factor analysis & Psychology. The author has an hindex of 9, co-authored 29 publications receiving 238 citations. Previous affiliations of Emanuele Fino include Sapienza University of Rome & Edge Hill University.

Papers
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Journal ArticleDOI
TL;DR: The hypothesis that inhibitory control and impulsivity are predictors of executive function was supported and the results appear informative of the validity of self-report measures to examine the relation between impulsivity traits rather than others to regulatory function of cognition and behavior.
Abstract: Background. Adolescence represents a critical period for brain development, addressed by neurodevelopmental models to frontal, subcortical-limbic, and striatal activation, a pattern associated with rise of impulsivity and deficits in inhibitory control. The present study aimed at studying the association between self-report measures of impulsivity and inhibitory control with executive function in adolescents, employing structural equation modeling. Method. Tests were administered to 434 high school students. Acting without thinking was measured through the Barratt Impulsiveness Scale and the Dickman Impulsivity Inventory, reward sensitivity through the Behavioral Activation System, and sensation seeking through the Zuckerman-Kuhlman-Aluja Personali- ty Questionnaire. Inhibitory control was assessed through the Behavioral Inhibition System. The performance at the Wisconsin Card Sorting Task indicated executive function. Three models were specified using Sample Covariance Matrix, and the estimated parameters using Maximum Likelihood. Results. In the final model, impulsivity and inhibitory control predicted executive function, but sensation seeking did not. The fit of the model to data was excellent. Conclusions. The hypothesis that inhibitory control and impulsivity are predictors of executive function was supported. Our results appear informative of the validity of self-report measures to examine the relation between impulsivity traits rather than others to regulatory function of cognition and behavior.

46 citations

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TL;DR: In this paper, the psychometric properties of the COVID-19 Preventive Behaviors Index (CPBI) were described, including its development and validation in two samples in the United Kingdom.
Abstract: Monitoring compliance with, and understanding the factors affecting, COVID-19 preventive behaviors requires a robust index of the level of subjective likelihood that the individual will engage in key COVID-19 preventive behaviors. In this article, the psychometric properties of the COVID-19 Preventive Behaviors Index (CPBI), including its development and validation in two samples in the United Kingdom, are described. Exploratory and confirmatory factor analyses were performed on data from 470 participants in the United Kingdom who provided demographic information and completed the Fear of COVID-19 Scale, the COVID-19 Own Risk Appraisal Scale (CORAS) and the CPBI. Results showed that a unidimensional, 10-item model fits the data well, with satisfactory fit indices, internal consistency and high item loadings onto the factor. The CPBI correlated positively with both fear and perceived risk of COVID-19, suggesting good concurrent validity. The CPBI is a measure of the likelihood of engaging in preventive activity, rather than one of intention or actual action. It is adaptable enough to be used over time as a monitoring instrument by policy makers and a modeling tool by researchers.

33 citations

Journal ArticleDOI
TL;DR: The psychometric properties of the COVID-19 Own Risk Appraisal Scale (CORAS), including its development and validation in two samples in the United Kingdom, are described, showing that a unidimensional, six-item model fits the data well, with satisfactory fit indices, internal consistency and high item loadings onto the factor.
Abstract: Perceived risk is an important determinant of the adoption of preventive behaviours. In this article, the psychometric properties of the COVID-19 Own Risk Appraisal Scale (CORAS), including its development and validation in two samples in the United Kingdom, are described. The CORAS is a measure of perceived personal risk of contracting the disease, incorporating primarily intuitive with some analytic risk estimates. Exploratory and confirmatory factor analyses were performed on data from 470 participants in the United Kingdom who completed the CORAS, the Fear of COVID-19 Scale and the COVID-19 Preventive Behaviours Index. Results showed that a unidimensional, six-item model fits the data well, with satisfactory fit indices, internal consistency and high item loadings onto the factor. We found no statistically significant differences by age, gender or ethnicity. The CORAS correlated positively with the Fear of COVID-19 Scale and the COVID-19 Preventive Behaviours Index, suggesting good concurrent validity.

30 citations

Journal ArticleDOI
TL;DR: In this paper, a second-order Confirmatory Factor Analyses (CFA) was used to test the factor structure of the BHS in a sample of Italian individuals (N = 509) from the community.
Abstract: The Beck Hopelessness Scale (BHS) is an instrument for assessing cognitive thoughts among suicidal persons. Previous studies have identified different factor structures of the BHS. However, results were not conclusive. The aim of this study was to test the factor structure of the BHS in a sample of Italian individuals (N = 509) from the community, and secondarily to investigate correlations between the BHS, depression (Beck Depression Inventory Second Edition), and personality traits (Zuckerman-Kuhlman-Aluja Personality Questionnaire). Following recommendations of previous investigations, we utilized a 5-point response format. We applied a second-order Confirmatory Factor Analyses and tested for the model invariance. The results suggest that besides a single second-order factor, a second-order three-factor solution is also reasonable, in line with Beck’s theorization.

28 citations

Journal ArticleDOI
TL;DR: GRCS-I presented good psychometric properties and it demonstrated good validity and reliability, providing a valid and suitable tool for the assessment of gambling related cognitions among Italian individuals.
Abstract: The past decade has witnessed an expanded accessibility and popularity of gambling worldwide, and in Italy the phenomenon significantly increased. Nevertheless, little is known about the role of gambling cognitions among Italian individuals, and few scales assessing problem gambling have been validated. The purpose of the present study was to examine and validate the Gambling Related Cognitions Scale-Italian version (GRCS-I), based on the 23-item Gambling Related Cognitions Scale (GRCS). Two-tailed t tests, ANOVA, MANOVA, Pearson's correlation, and multiple regression analyses were used for continuous variables, while χ(2) tests with Yates's correction for categorical variables. Cronbach's α was utilized to determine the internal consistency, and logistic regression analysis and the receiver operating characteristic curve analysis to determine discriminant validity. Principal axis factoring with Oblimin rotation was applied, and then confirmatory factor analysis was used to cross-validate the factor structures. We extracted a five-factor solution that accounted for 60 % of variance. All 23 items had communalities and factor loadings were satisfactory, and the factor structures were similar to the original version of the measure. The Cronbach's α coefficients were adequate, and concurrent and discriminant validities of the GRCS were also confirmed. GRCS-I presented good psychometric properties and it demonstrated good validity and reliability, providing a valid and suitable tool for the assessment of gambling related cognitions among Italian individuals.

27 citations


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01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

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5,680 citations

Journal Article
TL;DR: Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of the authors' brain’s wiring.
Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

4,351 citations

Journal ArticleDOI
TL;DR: A new kind of digital divide is created in the use of data-based knowledge to inform intelligent decision-making in developing countries by long-standing structural shortages in the areas of infrastructure, economic resources and institutions.
Abstract: Big Data for Development: A Review of Promises and Challenges Martin Hilbert, University of California, Davis; hilbert@ucdavis.edu Author’s version Hilbert, M. (2016). Big Data for Development: A Review of Promises and Challenges. Development Policy Review, 34(1), 135–174. http://doi.org/10.1111/dpr.12142 Abstract The article uses a conceptual framework to review empirical evidence and some 180 articles related to the opportunities and threats of Big Data Analytics for international development. The advent of Big Data delivers the cost-effective prospect to improve decision-making in critical development areas such as health care, economic productivity, and security. At the same time, all the well-known caveats of the Big Data debate, such as privacy concerns and human resource scarcity, are aggravated in developing countries by long-standing structural shortages in the areas of infrastructure, economic resources, and institutions. The result is a new kind of digital divide: a divide in data-based knowledge to inform intelligent decision- making. The article systematically reviews several available policy options to foster the opportunities and minimize the risks. Keywords: Big Data, decision-making, innovation, ICT, digital divide, digital, international development. Acknowledgements: The author thanks International Development Research Centre Canada (IDRC) for commissioning a more extensive study that laid the groundwork for the present article. He is also indebted to Manuel Castells, Nathan Petrovay, Francois Bar, and Peter Monge for food for thought, and to Matthew Smith, Rohan Samarajiva, Sriganesh Lokanathan, and Fernando Perini for helpful comments on draft versions, and thanks the United Nations Economic Commission for Latin America and the Caribbean (UN-CEPAL), where part of the research was undertaken. The views expressed herein are those of the author and do not necessarily reflect the views of the United Nations.

458 citations

Journal ArticleDOI
TL;DR: Assessment of pain follows the guidelines for other types of chronic pain, where the multidimensional nature of symptom presentation is taken into consideration and neurolytical interventions and neuromodulation can be considered in difficult patients.

190 citations