一个得分可以统治他们所有人吗? 比较30个心和花的得分方法的预测和同时有效性
Tiffany Wu1, Christina Weiland1, Meghan McCormick2
1University of Michigan, Ann Arbor, USA.
Assessment
|February 16, 2024
概括
这项研究探讨了在946名幼儿园幼儿的Hearts and Flowers (H&F) 执行功能 (EF) 任务中的30种评分方法. 结果表明,双向量的平均得分,将准确性和准确度值后的反应时间结合起来,是EF评估中最有效的.
科学领域:
- 认知心理学 认知心理学
- 发展心理学 发展心理学
- 教育心理学教育心理学
背景情况:
- "心与花" (Hearts and Flowers,简称H&F) 任务是一个广泛使用的计算机评估,用于跨年龄组的执行功能 (EF).
- 目前对H&F的评分方法缺乏共识,这阻碍了对EF数据的交叉研究解释.
- 执行职能技能对于学术和生活成功至关重要,需要可靠的评估工具.
研究的目的:
- 为了比较30种不同的评分方法对H&F任务的预测和并发有效性.
- 确定评估幼儿执行功能最有效的评分方法.
- 在未来的研究和临床实践中提供基于证据的建议,以评分H&F任务.
主要方法:
- 来自波士顿公立学校的946名幼儿园生参与了人口统计学上多样化的样本.
- 对H&F任务分析了30种不同的评分方法,精度,反应时间 (RT) 和任务块各不相同.
- 对每个评分组合进行了预测和并发有效性的评估.
主要成果:
- 探索性分析发现"双向量平均"得分特别有希望.
- 这种受欢迎的评分方法涉及在达到预定义的准确度值后将准确度和RT分数结合起来.
- 拟议的评分方法与Zelazo等人的一致. "对EF评估的方法.
结论:
- "双向量平均"评分方法显示出强大的潜力,可以提高H&F高管功能评估的有效性.
- 标准化H&F评分可以提高发育研究中EF测量的可靠性和可解释性.
- 这些发现对未来基于平板电脑的发育评估的开发和评分有影响.
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