补充麦克尼什和米斯利维:心理测量需要什么?
Klaas Sijtsma1, Jules L Ellis2, Denny Borsboom3
1Department of Methodology and Statistics TSB, Tilburg University, PO Box 90153, 5000LE, Tilburg, The Netherlands. k.sijtsma@tilburguniversity.edu.
Psychometrika
|October 30, 2024
概括
简单的总和得分有效地传达了许多应用程序的测试结果. 先进的心理测量模型,如物品响应理论 (IRT),对于专业用途至关重要,弥合了心理学和心理测量之间的差距.
科学领域:
- 心理测量 心理测量 心理测量
- 心理测量 心理测量
- 教育测量教育的测量
背景情况:
- 在心理测量应用中,简单的总和得分受到批评.
- 讨论心理测量学家在研究人员教育和推广中的作用.
- 探索属性理论对测试构造中的数据质量影响.
研究的目的:
- 为了解决针对简单总和得分的重点文章的回复中提出的问题.
- 倡导适当使用总分和隐性变量分数.
- 突出心理学和心理测量学之间合作的必要性.
主要方法:
- 理论讨论和论证. 理论讨论和论证.
- 对心理测量原理和应用的分析.
- 对测试施工方法的审查.
主要成果:
- 简单的总和分数及其转换 (例如百分位数) 便于清晰地传达测试结果.
- 项目响应理论 (IRT) 模型对于等同和适应性测试等高级应用是必不可少的.
- 测试构建方法的差异可能源于未明确的属性理论.
结论:
- 弥合心理学和心理测量学之间的差距对于推进该领域至关重要.
- 心理测量教育和宣传可以促进对测量得分的负责任使用.
- 虽然潜变量是技术工具,但总分数满足实际的沟通需求.
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