Is Turnover Intention Static or Dynamic?

Abstract

The purpose of the present study is to identify the growth trajectories of employees’ turnover intention using growth mixture modeling. We utilized work, family, and health study (WFHS) data consisting of repeatedly measured data of employees from an extended-care company (n = 799). We identified three profiles (i.e., Low-flat profile, Steadily increasing profile, and High-flat profile) that exhibit distinct patterns of change. Using multinomial logistic analysis, this study also investigates the associations between the identified profiles and inter-role conflict (i.e., work-life conflict and life-work conflict), psychological workplace strain (i.e., perceived stress and emotional exhaustion), and socio-demographic characteristics (i.e., gender, age, tenure, and education). Finally, we also examined mean differences in those variables among the three profiles. Based on these results, we suggest theoretical and practical implications related to turnover intention.