This study examines how career resources influence pre-service teachers’ transition from university to workforce and their well-being. Using a longitudinal design, we analyzed data collected at two time points. We applied a latent profile analysis (LPA) to identify career resources profiles including calling, career adaptabilities, and career decision self-efficacy at T1 and a multivariate analysis of variance (MANOVA) to examine their influence on career outcomes (turnover intentions and job satisfaction) and well-being (flourishing and life satisfaction) at T2. From the LPA, a three-profile solution was identified distinguishing profiles with low, medium, and high levels of resources. Multinomial logistic regression revealed gender differences: female participants were more likely to belong to profiles characterized by higher career resources. MANOVA results demonstrated that profiles predicted career outcomes at T2. These results underscore the importance of cultivating career resources in teacher education programs and raise questions about the pivotal role of calling in career choice.
Parola et al. (Wed,) studied this question.