Chapter Psychometric properties of a new scale for measuring academic positive psychological capital
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 stu...
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| Principais autores: | , , , , |
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| Formato: | Online |
| Idioma: | inglês |
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Firenze University Press
2022
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| Acesso em linha: | ONIX_20220601_9788855184618_558 |
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| _version_ | 1869525833000943616 |
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| author | Anselmi, Pasquale Colledani, Daiana Fabbris, Luigi Robusto, Egidio Scioni, Manuela |
| author_browse | Anselmi, Pasquale Colledani, Daiana Fabbris, Luigi Robusto, Egidio Scioni, Manuela |
| author_facet | Anselmi, Pasquale Colledani, Daiana Fabbris, Luigi Robusto, Egidio Scioni, Manuela |
| author_sort | Anselmi, Pasquale |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-82435 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-824352022-06-02T04:10:44Z Chapter Psychometric properties of a new scale for measuring academic positive psychological capital Anselmi, Pasquale Colledani, Daiana Fabbris, Luigi Robusto, Egidio Scioni, Manuela Academic PsyCap Fresh graduates Bifactor model Measurement invariance 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. 2022-06-02T04:10:43Z 2022-06-02T04:10:43Z 2022-06-01T12:21:03Z 2021 chapter ONIX_20220601_9788855184618_558 2704-5846 https://library.oapen.org/handle/20.500.12657/56373 9788855184618 https://directory.doabooks.org/handle/20.500.12854/82435 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56373/1/26224.pdf Firenze University Press 10.36253/978-88-5518-461-8.06 10.36253/978-88-5518-461-8.06 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855184618 6 Florence open access |
| spellingShingle | Academic PsyCap Fresh graduates Bifactor model Measurement invariance Anselmi, Pasquale Colledani, Daiana Fabbris, Luigi Robusto, Egidio Scioni, Manuela Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title | Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title_full | Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title_fullStr | Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title_full_unstemmed | Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title_short | Chapter Psychometric properties of a new scale for measuring academic positive psychological capital |
| title_sort | chapter psychometric properties of a new scale for measuring academic positive psychological capital |
| topic | Academic PsyCap Fresh graduates Bifactor model Measurement invariance |
| topic_facet | Academic PsyCap Fresh graduates Bifactor model Measurement invariance |
| url | ONIX_20220601_9788855184618_558 |
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