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The supportive supervisory scale: psychometric properties in Chinese health care aides samples
Li Tian1,2, Haixia Li3,4, Bei Dong5,3
1The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China. tianlisz@suda.edu.cn.
Objective:
To sinicize the Supportive Supervisory Scale (SSS) and analyze the psychometric properties of the Chinese version of SSS (SSS-C).
Methods:
The SSS (the original English version) was firstly sinicized and adjusted, then its psychometric properties were examined in 300 health care aides from four long-term care (LTC) facilities. SPSS 22.0 was used to process the data and calculate the reliability and validity.
Results:
The 15-item SSS-C had satisfactory internal consistency (Cronbach's α coefficient = 0.852), split half reliability (Spearman-Brown coefficient = 0.834) and test-retest reliability (Pearson correlation coefficient = 0.784), and three factors were extracted. If the four items with their communality < 0.4 were deleted, the remaining 11 items could explain 55.654% of the total variance. The discriminant validity of the SSS-C varied significantly between sites.
Conclusions:
The Chinese version of SSS can be used to effectively measure the supervisory support of the nurses within the LTC settings.
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