Factors influencing nursing faculty members' intent to stay: A structural equation modeling approach.

Abstract

Intent to stay is a helpful indicator in predicting the turnover rate of nursing faculty members in academia. This descriptive, cross-sectional study aimed to identify the factors influencing nursing faculty members' intent to stay. The sample consisted of 350 nursing faculty members randomly selected from 53 nursing and midwifery training schools in Myanmar. Data were collected between June and October 2021. The eight instruments used showed satisfactory (0.80-1.00) for validity and (0.86-0.96) for reliability. Data were analyzed by descriptive statistics and structural equation modeling (SEM). The final modified model of intent to stay fit the empirical data and explained 81.30% of total variance for intent to stay. SEM revealed that job satisfaction and organizational commitment directly affected intent to stay; transformational leadership, job autonomy, and perceived organizational support indirectly affected intent to stay; and workload, age, and job stress, directly and indirectly, affected intent to stay. These results suggest nursing administrators and nursing leaders to develop appropriate strategies or design interventions for enhancing nursing faculty members' intent to stay.