连续评级规模分析 (CoRSA):用于分析连续和离散数据的工具,使用项目响应理论
Yeh-Tai Chou1, Yao-Ting Sung2, Wei-Hung Yang3
1Research Center for Psychological and Educational Testing, National Taiwan Normal University, Taipei, Taiwan.
Behavior research methods
|November 4, 2025
概括
连续评级尺度如视觉模拟尺度 (VAS) 现在更容易通过新的连续评级尺度分析 (CoRSA) 工具进行分析. CoRSA 增强了连续和离散规模的数据分析,提高了研究效用.
科学领域:
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
- 数据分析数据分析
背景情况:
- 连续评分尺度,如视觉模拟尺度 (VAS),在研究中未得到充分利用,与利克尔特尺度等离散尺度相比.
- 这种利用不足源于缺乏验证的分析工具,用户友好的界面,以及支持理论/实证研究.
研究的目的:
- 通过开发和验证分析工具来解决分析连续评级表的差距.
- 为研究人员和从业人员提高连续评级规模数据分析的可访问性和可用性.
主要方法:
- 开发了连续评级规模分析 (CoRSA) 算法和软件.
- 使用模拟和经验数据对现有工具 (pcIRT,ConQuest) 进行CORSA疗效评估.
- 将CORSA集成到VAS-RRP 2.0平台中,以提高用户的可访问性.
主要成果:
- 对于连续数据,CORSA显示出优异的参数恢复,而对于离散数据,则表现相似.
- 使用VAS和利克特尺度与CORSA进行的实证分析显示,模型数据匹配良好,数据进行有效的重新缩放.
- 将CORSA集成到VAS-RRP 2.0中,为没有统计专业知识的用户增强了可用性.
结论:
- CoRSA 是一个经过验证的工具,用于分析连续和离散的评级级别数据.
- 开发的工具增强了连续评分格式在各种研究环境中的实用性和应用.
- 先进的统计分析的可访问性增加促进了连续评级表的更广泛采用.
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