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相关概念视频

Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

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The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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相关实验视频

Updated: Jan 15, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
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改进活动评估:使用Rasch模型的代过程.

Anthony Gage1, Sarah A Nisly

  • 1Mr. Gage: Director, Business Intelligence and Analytics, Clinical Education Alliance, Reston, VA. Dr. Nisly: Senior Vice President, Outcomes and Impact, Clinical Education Alliance, Reston, VA.

The Journal of continuing education in the health professions
|October 13, 2025
PubMed
概括
此摘要是机器生成的。

心理测量分析完善了持续专业发展评估工具,提高了其可靠性并减少了冗余. 这种数据驱动的方法提高了医学教育评估的质量.

关键词:
评估评估的评估评估的评估.评价 评价 评价 评价测量过程中的测量.结果就是结果.心理测量是指心理测量.

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科学领域:

  • 医疗教育 医学教育
  • 心理测量 心理测量 心理测量
  • 持续的专业发展 持续的专业发展

背景情况:

  • 医学教育中的传统评估模型不足以满足复杂的现代需求.
  • 需要更全面,更细微的评估方法.

研究的目的:

  • 开发和完善持续专业发展 (CPD) 活动的标准化评估工具.
  • 提高CPD评估工具的可靠性和减少冗余性,使用心理测量原则.

主要方法:

  • 开发了一种标准化的评估工具,并使用重复的拉什分析反复改进.
  • 使用类别概率曲线和测试信息函数来优化评估结构.
  • 最初分析了250项教育活动和26554名学习者的数据,最终对21项活动和529名学习者进行了验证.

主要成果:

  • 最初的Rasch分析表明,需要取消冗余,并将评级级从5分变为4分.
  • 经过修改后,仪器的可靠性得到了改善,Cronbach的α从0.72增加到0.80.
  • 这种精致的仪器表现出了增强的心理测量特性.

结论:

  • 心理测量方法可以显著提高评估仪器的可靠性,减少评估仪器的冗余性.
  • 该研究提出了一个灵活的,心理测量为评估CPD计划提供了灵活的,心理测量为评估CPD计划提供了灵活的工具.
  • 这种数据驱动的指标可以提高医疗培训的质量,并为未来的教育努力提供信息.