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Evaluating the quality of the list of occupations recommended for further exploration
Access to online career information increases the complexity of career decisions (choosing a major or job). When the number of alternatives is large, the first step is to compile a list of promising career alternatives for further exploration, often by using interest inventories (e.g., the Self-Dire...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395809/ https://www.ncbi.nlm.nih.gov/pubmed/36032050 http://dx.doi.org/10.1007/s10775-022-09569-5 |
Sumario: | Access to online career information increases the complexity of career decisions (choosing a major or job). When the number of alternatives is large, the first step is to compile a list of promising career alternatives for further exploration, often by using interest inventories (e.g., the Self-Directed Search). But what makes such a list useful? The judgments of 20 career counselors and 103 graduate students supported the hypothesis that higher list quality is associated with a greater similarity between the occupations on the list, fewer occupational fields represented by the occupations on the list, and a list length approximating seven occupations. |
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