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A study on turnover intention of elderly nursing staff based on structural equation model |
MIN Gui ZHAO Guoqin WANG Aiqin |
Nursing Department, Jiangxi Health Vocational College, Jiangxi Province, Nanchang 330052, China |
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Abstract Objective To explore the relationship among job embeddedness, emotional intelligence and turnover intention of the elderly nursing staff, and to verify the mediating effect on emotional intelligence. Methods A total of 202 elderly nursing staff in Jiangxi Province from January to March 2017 were selected. Convenient sampling method was used, and job embeddedness scale, emotional intelligence scale, turnover intention scale, in combination with occupation career cycle theory, a structural equation model was constructed with SPSS 24.0 and AMOS 24.0 software. Results Career cycle, gender, marital status, monthly income and education level were effective factors on job embeddedness, emotional intelligence and turnover intention (P < 0.05). Job embeddedness was negatively related to turnover intention (r = -0.701, P = 0.000), while emotional intelligence was positively correlated with job embeddedness (r = 0.144, P = 0.041), negatively correlated with turnover intention (r = -0.638, P = 0.000). Emotional intelligence appears partially mediate impact of job embeddedness on turnover intention (ratio of mediating effects = 11.16%). Conclusion Elderly nursing staff with fine emotional intelligence are helpful for interpersonal relationship, harmony group life and peaceful working environment, and also can increase job embeddedness and organizing capability, which can reduce turnover intention and turnover rate.
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