在假设测试中异常响应:对有效性的威胁还是洞察力的来源?
Georgios Sideridis1, Mohammed H Alghamdi2
1Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Behavioral sciences (Basel, Switzerland)
|March 28, 2025
概括
在教育评估中的异常响应模式可以扭曲学生与教师关系和学校安全感知之间的关系. 使用灾难模型,这项研究揭示了这些扭曲如何从线性转变为混乱,突出了对人身统计数据的需求.
科学领域:
- 心理测量 心理测量 心理测量
- 教育评估的教育评估
- 量化心理学 量化心理学
背景情况:
- 异常响应使心理和教育研究中的测量有效性复杂化.
- 了解响应模式如何影响构造关系对于准确的数据解释至关重要.
- 学生与教师的关系和学校安全感知是关键的教育构造,可能受到响应风格的影响.
研究的目的:
- 调查异常反应模式对学生与教师关系和学生对学校安全的看法之间的关系的影响.
- 评估 cusp catastrophe 模型在解释异常响应引入的非线性动态方面的实用性.
- 为了比较 cusp 模型与传统线性和物流模型在处理响应扭曲方面的性能.
主要方法:
- 利用了6617名沙特阿拉伯学生在2022年国际学生评估计划 (PISA) 中的数据.
- 采用尖端灾难模型来分析非线性动态.
- 使用U3人适合指数和Guttman错误数量测量异常响应.
主要成果:
- 异常响应,用U3指数和Guttman错误量化,显著扭曲了响应模式.
- 尖端灾难模型有效地捕捉了学生-教师关系和学校安全感知之间的关系从线性转变为混乱的不稳定性.
- 顶点模型在计算响应扭曲方面表现出优于传统的线性和物流模型的优势.
结论:
- 在大规模评估中忽视异常响应,可能会误解数据和关系.
- 灾难模型在计算响应扭曲时,提供了对非线性系统行为更细致的理解.
- 个人适应统计数据对于心理测量评估至关重要,非线性模型提高了在教育评估中处理响应扭曲的能力.
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