| Literature DB >> 35846707 |
Luigia Simona Sica1, Michela Ponticorvo1, Tiziana Di Palma1.
Abstract
The present study had two goals: to test the validity of Planned Happenstance Career Inventory (PHCI) in the Italian context and to explore the relations between PHC skills and vocational identity processes within a sample of 472 undergraduate students attending university in the southern of Italy. Moreover, we examined relations between the PHCI and measures of vocational identity processes. With regard to the first goal, results show that for the Italian version of the instrument was confirmed the multifactor structure of the original version. The multi-group analyses showed that invariance between genders is supported. Convergent validity and divergent validity of the measure were reported. Concerning the second goal, the skills of planned happenstance show different associations with Vocational Identity Dimensions. As hypothesized, the exploration and commitment dimensions of vocational identity status are positive related to Planned Happenstance Skills. These findings suggest implications for career guidance and counseling.Entities:
Keywords: Italian validation; career inventory; planned happenstance; vocational identity; young people
Year: 2022 PMID: 35846707 PMCID: PMC9280887 DOI: 10.3389/fpsyg.2022.899411
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Descriptive statistics for the 25 items of PHCI.
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| PHCI1 | 3.621 | 0.824 | −0.043 | 0.112 |
| PHCI2 | 3.655 | 0.955 | −0.542 | 0.131 |
| PHCI3 | 3.792 | 1.057 | −0.800 | 0.161 |
| PHCI4 | 3.564 | 0.999 | −0.331 | −0.159 |
| PHCI5 | 3.401 | 1.033 | −0.353 | −0.241 |
| PHCI6 | 3.383 | 1.004 | −0.611 | 0.105 |
| PHCI7 | 3.360 | 1.081 | −0.512 | −0.399 |
| PHCI8 | 3.404 | 1.122 | −0.448 | −0.547 |
| PHCI9 | 3.933 | 0.858 | −0.860 | 1.049 |
| PHCI9 | 3.354 | 1.011 | −0.408 | −0.274 |
| PHCI10 | 3.281 | 1.008 | −0.424 | −0.425 |
| PHCI11 | 3.938 | 0.846 | −0.577 | 0.156 |
| PHCI12 | 3.939 | 0.806 | −0.693 | 0.686 |
| PHCI13 | 4.097 | 0.836 | −0.837 | 0.644 |
| PHCI14 | 4.076 | 0.852 | −0.826 | 0.636 |
| PHCI15 | 4.046 | 0.838 | −1.081 | 1.870 |
| PHCI16 | 4.053 | 0.829 | −0.835 | 0.985 |
| PHCI17 | 3.907 | 0.954 | −0.812 | 0.582 |
| PHCI18 | 3.716 | 1.034 | −0.721 | 0.147 |
| PHCI19 | 3.354 | 1.011 | −0.409 | −0.274 |
| PHCI20 | 3.835 | 0.842 | −0.578 | 0.539 |
| PHCI21 | 3.851 | 0.876 | −0.460 | 0.019 |
| PHCI22 | 4.071 | 0.823 | −0.999 | 1.695 |
| PHCI23 | 3.916 | 0.919 | −0.683 | 0.254 |
| PHCI24 | 3.932 | 0.882 | −0.699 | 0.613 |
| PHCI25 | 3.998 | 0.872 | −0.900 | 1.197 |
Figure 1Standardized solution of the five-factor model of the PHCI.
Covariances: the first number refers to estimate, the one in parentheses to standard error and the third number is the p value.
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| 0.151 (0.053) 0.004 | 0.455 (0.043) < 0.001 | 0.366 (0.051) < 0.001 | 0.480 (0.042) < 0.001 |
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| −0.007 (0.053) | 0.311 (0.054) < 0.001 | 0.038 (0.055) | |
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| 0.439 (0.048) < 0.001 | 0.671 (0.032) < 0.001 | ||
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| 0.489 (0.047) < 0.001 |
Correlation between PHCI and VISA dimensions.
| Optim | Flex | Persist | Curios | Risk-taking | Comm_making | Comm_id | Explore_depth | Explore_breadth | Comm_flex | |
|---|---|---|---|---|---|---|---|---|---|---|
| Commitment making | 0.311 | −0.290 | 0.372 | 0.039 | 0.360 | |||||
| Commitment identification | 0.390 | −0.097 | 0.394 | 0.265 | 0.418 | 0.500 | ||||
| Explore in depth | 0.043 | 0.108 | 0.127 | 0.236 | 0.187 | 0.143 | 0.257 | |||
| Explore in breadth | −0.006 | 0.385 | −0.035 | 0.248 | 0.023 | −0.205 | 0.016 | 0.393 | ||
| Commitment flexibility | −0.208 | 0.455 | −0.247 | 0.082 | −0.131 | −0.418 | −0.315 | 0.116 | 0.387 | |
| Commitment doubt | −0.388 | −0.183 | −0.342 | −0.088 | −0.290 | −0.358 | −0.432 | 0.119 | 0.252 | 440 |
Indicates a significativity at level p = 0.05;
Indicates a significativity at level p = 0.01.