用线性弹道蓄电机模型进行测试时的持久性计算
Jochen Ranger1, Sören Much1,2, Niklas Neek1
1Department of Psychology, https://ror.org/05gqaka33Martin-Luther-Universität Halle-Wittenberg, Halle, Germany.
Psychometrika
|June 16, 2025
概括
本研究介绍了低风险测试的潜在特征模型,考虑了能力和持久性的个体差异. 这些模型分析响应时间和猜测策略,以更好地了解考生行为.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 认知心理学 认知心理学
背景情况:
- 低风险测试经常显示考生之间的努力水平有所不同.
- 了解能力和持久性的个体差异对于准确的评估至关重要.
- 现有的模型可能无法完全捕捉测试期间脱离的动态.
研究的目的:
- 提出新的潜在特征模型,用于分析低风险测试中的反应和响应时间.
- 将能力和持久性的个体差异纳入测量模型.
- 通过使用线性弹道蓄积器模型,模拟解决过程和解锁之间的相互作用.
主要方法:
- 开发了潜在特征模型,整合了响应和响应时间数据.
- 使用线性弹道蓄积器模型建模解决方案和解锁过程.
- 引入了模型变体,包括没有猜测,随机猜测和知情猜测.
主要成果:
- 模拟研究表明,在特定条件下,参数值和潜在特征的恢复良好.
- 模型变体在处理不同猜测策略方面表现出灵活性.
- 经验数据分析验证了拟议模型的应用.
结论:
- 拟议的潜在特征模型为分析低风险测试行为提供了一个强大的框架.
- 这些模型提供了对能力,持久性和响应策略的复杂相互作用的见解.
- 这些发现有助于提高教育评估的准确性和解释性.
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