Good, bad, and not so sad part-time employment
Auteurs: Victor Y. Haines III, Pascal Doray-Demers, et Vivianne Martin
Aperçu
Résumé (français)
Veuillez noter que les résumés n'apparaissent que dans la langue de la publication et peuvent ne pas avoir de traduction.
Résumé (anglais)
With increases in part-time employment, the need to understand its diverse forms is growing. The aim of this study is to develop a typology of part-time employment on the basis of role occupancy and work characteristics. Latent class analysis was applied to data from a sample of 1826 part-time workers. The pattern of conditional probabilities suggests four types of part-time employment: Good, bad, student, and transition. Further analysis indicates that gender, age, education, seniority, and work experience are correlates of being in one or other types of part-time employment. Finally, good part-time employment is associated with higher job satisfaction and health although better health is reported in student part-time employment.
Détails
Type | Article de journal |
---|---|
Auteur | Victor Y. Haines III, Pascal Doray-Demers, et Vivianne Martin |
Année de pulication | 2018 |
Titre | Good, bad, and not so sad part-time employment |
Volume | 104 |
Nom du Journal | Journal of Vocational Behavior |
Numéro | February |
Pages | 128-140 |
Langue de publication | Anglais |
- Victor Y. Haines III
- Victor Y. Haines III, Pascal Doray-Demers, et Vivianne Martin
- Good, bad, and not so sad part-time employment
- Journal of Vocational Behavior
- 104
- 2018
- February
- 128-140