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  • 1
    ISBN: 9791221501063
    Language: Undetermined
    Pages: 1 Online-Ressource (6 p.)
    Series Statement: Proceedings e report
    Keywords: Society & social sciences
    Abstract: How did individual and social aspects influence depression feelings during the pandemic? In this paper, we analyse the data collected through a survey conducted in the second half of 2021 among a convenience sample of Italian adults. The survey was aimed at highlighting how Italians experienced the pandemic and the way they perceived their future. A total of 556 Italians answered the CAWI survey. The analyses of the collected data show that, while having been infected by the virus or having had a family member infected by it did not influence the depression level, other individual characteristics and subjective feelings did. In particular, being female, younger, having had low trust in information delivered by television, no experiences of smart working or remote learning, little support from friends and family, and being unable to imagine the future increased the likelihood to feel higher levels of depression. Being able to imagine the future mediated the relationships of age and smart working or remote learning experiences with depression. The results indicate that, having a lower ability to imagine the future, younger people and individuals who did not work or study remotely have also a greater tendency to feel depressed
    Note: English
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  • 2
    ISBN: 9788855184618
    Language: Undetermined
    Pages: 1 Online-Ressource (6 p.)
    Series Statement: Proceedings e report
    Keywords: Social research & statistics
    Abstract: Positive psychological capital (PsyCap) is the name given to a set of psychological dimensions (hope, resilience, self-efficacy, and optimism) that may support students in their effort to achieve better academic results and even improve the employability of graduates. These dimensions could help students to achieve better academic results and impact fresh graduates' ability to stand the labour market in times of crisis. A scale, called Academic PsyCap, was specifically developed to evaluate the four PsyCap dimensions among students and fresh graduates. To deeply investigate the structural validity of the scale, three alternative models (one-factor model, correlated four-factor model, bifactor model) were run on the responses provided by about 1,600 fresh graduates at the University of Padua. The results indicated that the bifactor model fit the data better than the other two models. In this model, all items significantly loaded on both their own domain specific factor and on the general factor. The values of Percentage of Uncontaminated Correlations (PUC), Explained Common Variance (ECV), and Hierarchical Omega suggested that multidimensionality in the scale was not severe enough to disqualify the use of a total PsyCap score. The scale was found to be invariant across gender and academic degree (bachelor's and master's degree). Internal consistency indices were satisfactory for the four dimensions and the total scale
    Note: English
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  • 3
    ISBN: 9788855183048
    Language: Undetermined
    Pages: 1 Online-Ressource (6 p.)
    Series Statement: Proceedings e report
    Keywords: Social research & statistics
    Abstract: Positive psychological capital (PsyCap; hope, resilience, self-efficacy, and optimism) and locus of control (LoC; internal and external) denote psychological dimensions which have been identified as crucial resources for occupational satisfaction and success. These dimensions could impact fresh graduates' ability to stand the labour market in times of crisis. Two instruments, called Academic PsyCap and Academic LoC, have been specifically developed to evaluate these dimensions among fresh graduates. The two instruments consist of 34 and 10 items respectively, which have been selected, through factor analyses, from a large initial pool of items administered to fresh graduated at the University of Padova. Results suggested adequate psychometric properties for both Academic PsyCap and Academic LoC. The factor structure of the two instruments was confirmed (CFI = .92, RMSEA = .07, SRMR = .07 for Academic PsyCap; CFI = .96, RMSEA = .05, SRMR = .05 for Academic LoC), and internal consistency was satisfactory for all the subscales. The two instruments are presented, and their psychometric properties are described
    Note: English
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