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开发和验证经验丰富的工作集成学习工具 (E-WIL) 使用新毕业的注册护士样本 - 一个确认因素分析
Anna Andersson1, Eva Brink1, Kajsa Hansen Young2
1Department of Health Sciences, University West, SE-46132 Trollhättan, Sweden.
Nurse education today
|June 26, 2023
概括
一个新的工具,经验丰富的工作集成学习 (E-WIL),有效地评估新毕业的注册护士的实践技能和专业适应. 这种经过验证的工具支持医疗保健组织评估护士发展并确保优质护理.
科学领域:
- 护理教育 护理教育
- 医疗保健专业发展
- 工作整合学习学习.
背景情况:
- 新毕业的注册护士在技能发展和角色适应方面面临着挑战.
- 评估工作综合学习对于确保护理质量和支持新手护士至关重要.
- 经验丰富的工作集成学习 (E-WIL) 工具是为了满足这一需求而开发的.
研究的目的:
- 开发和评估经验丰富的工作集成学习 (E-WIL) 仪器的心理测量特性.
- 为新毕业的注册护士设计的仪器的有效性和可靠性进行评估.
- 为评估护理工作中集成学习提供一个工具.
主要方法:
- 采用了采用横截面研究设计的调查方法.
- 这项研究包括来自瑞典西部医院的221名新毕业的注册护士.
- 确认因素分析 (CFA) 用于验证E-WIL仪器.
主要成果:
- E-WIL 仪器证明了全球潜伏变量的构造有效性,涵盖了工作集成学习的六个维度.
- 对大多数尺寸 (α = 0.700.81) 的负载因子表明了令人满意的适合性和良好的可靠性.
- 确认因素分析证实了两个二级隐性变量:"个人掌握职业角色"和"适应组织要求".
结论:
- 证实了E-WIL仪器的有效性,所有潜在变量和维度都可以测量.
- E-WIL工具适用于评估新毕业的注册护士的学习和专业发展.
- 医疗机构可以利用E-WIL工具来评估新手护士整合和成长的关键方面.
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