探索响应风格对连续规模评估的影响:来自新型建模方法的见解
1University of Taipei, Taipei, Taiwan.
Educational and psychological measurement
|November 20, 2024
概括
这项研究引入了新的模型,以解释持续心理评估中的反应风格. 忽视这些风格,比如极端或默许的反应风格,会导致有偏见的结果,强调需要在心理特征评估中进行准确的测量.
科学领域:
- 心理测量 心理测量 心理测量
- 心理测量 心理测量
- 统计建模 统计建模
背景情况:
- 心理特征的传统离散格式被嵌入到物体反应理论中.
- 连续响应格式在基于计算机的测试中提供了优势.
- 响应风格 (例如,极端,默许) 可以偏向特征推断和歪曲得分.
研究的目的:
- 调查响应风格对连续规模响应的影响.
- 为持续响应模型 (CRM) 提出扩展,以捕捉极端响应风格 (ERS) 和默许响应风格 (ARS).
- 在一个连续的背景下,量化建模响应风格的个体变化.
主要方法:
- 开发了CRM-ERS和CRM-ARS模型的开发.
- 通过模拟研究进行评估.
- 使用贝叶斯方法对参数进行校准.
主要成果:
- 提出的模型显示了令人满意的参数恢复.
- 忽视响应风格导致偏见的估计.
- 随着测试长度和样本大小的增加,估计准确性得到改善.
结论:
- 对响应风格的考虑对于准确的心理特征评估至关重要.
- 拟议的CRM扩展有效地捕捉到个人响应风格的变化.
- 这些模型具有实际应用,用于提高连续尺度数据的有效性.
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