使用多维计算机自适应测试测量流体推理的过程因素
Hanif Akhtar1,2, Kristof Kovacs1
1ELTE Eötvös Loránd University, Budapest, Hungary.
Assessment
|March 16, 2024
概括
一个新的多维诱导-减去计算机化适应测试 (MID-CAT) 有效地测量流体推理 (Gf) 因素. 这种免费,灵活的工具提供比传统测试更高的测量精度.
科学领域:
- 认知心理学 认知心理学
- 心理测量 心理测量 心理测量
背景情况:
- 流体推理 (Gf) 评估往往缺乏同时测量低级过程因素的图形测试.
- 现有的Gf测试可能无法同时有效评估多个过程因素.
研究的目的:
- 为测量流体推理的两个关键过程因素,引入多维诱导-减去计算机化适应性测试 (MID-CAT).
- 开发一个灵活,高效和自由可访问的非商业用途的工具.
主要方法:
- 为MID-CAT开发了530个项目.
- 对2,247名参与者的样本进行了物品的管理.
- 使用拉什模型进行项目装配和校准.
主要成果:
- 最后的项目池显示了广泛的难度范围,使得不同的考生能够精确地测量能力.
- 模拟研究证实MID-CAT的测量效率优于单维CAT或固定项目测试.
结论:
- MID-CAT是一个精确校准的仪器,用于评估流体推理过程因素.
- 开发的MID-CAT提供了更高的测量效率和未来研究应用的潜力.
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