Good, bad, and not so sad part-time employment
Authors: Victor Y. Haines III, Pascal Doray-Demers, and Vivianne Martin
Overview
Abstract (English)
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.
Abstract (French)
Please note that abstracts only appear in the language of the publication and might not have a translation.
Details
Type | Journal article |
---|---|
Author | Victor Y. Haines III, Pascal Doray-Demers, and Vivianne Martin |
Publication Year | 2018 |
Title | Good, bad, and not so sad part-time employment |
Volume | 104 |
Journal Name | Journal of Vocational Behavior |
Number | February |
Pages | 128-140 |
Publication Language | English |
- Victor Y. Haines III
- Victor Y. Haines III, Pascal Doray-Demers, and Vivianne Martin
- Good, bad, and not so sad part-time employment
- Journal of Vocational Behavior
- 104
- 2018
- February
- 128-140