正交旋转
克朗巴赫阿尔法
比例(比率)
探索性因素分析
结构效度
心理学
护理部
队列
医学
临床心理学
心理测量学
量子力学
物理
内科学
作者
Sarah Patel,Matthew Chrisman,Kymberly Bennett
标识
DOI:10.1891/jnm-2021-0005
摘要
Background and Purpose While sense of belonging is essential for human motivation, impaired belonging among nurses can impact the care and safety of patients. This article reports the development and psychometric testing of the Sense of Belonging in Nursing School (SBNS) scale to assess nursing students’ sense of belonging in three different environments: Clinical, classroom, and among the student cohort. Method Principal component exploratory factor analysis with varimax rotation was used to determine the construct validity on the 36-item SBNS scale with a sample of 110 undergraduate nursing students. Cronbach’s alpha was used to determine the scale’s internal consistency. Results The scale was reduced to 19-items with high internal consistency (α = 0.914). Principal component analysis then identified four factors (sub-scales) with high internal consistency: Clinical staff (α = 0.904), clinical instructor (α = 0.926), classroom (α = 0.902), and classmates/cohort (α = 0.952). Conclusion The SBNS scale is a reliable and valid tool to measure sense of belonging across three environments among nursing students. Further research is needed to determine the scale’s predictive validity.
科研通智能强力驱动
Strongly Powered by AbleSci AI