响应率,可靠性和经验采样数据中的收有效性
Jeffrey S Simons1,2, Stephen A Maisto3, Raluca M Simons1
1University of South Dakota, Vermillion, USA.
Assessment
|December 10, 2024
概括
研究结果表明,完成评估的数量和可靠性,而不仅仅是合规性,影响经验采样方法 (ESM) 研究中的数据质量. 仅仅遵守并不能保证有效或可靠的中毒和负面影响措施.
科学领域:
- 心理学科学 心理学科学
- 方法论 方法论 方法论
- 数据科学数据科学数据科学
背景情况:
- 经验采样方法 (ESM) 被广泛用于研究日常生活中的心理现象.
- 评估ESM数据的可靠性和有效性对于准确的研究结果至关重要.
- 遵守ESM协议可能会影响数据质量,但它的确切影响仍在争论中.
研究的目的:
- 检查ESM数据中合规率与中毒和负面影响评估的可靠性和融合有效性之间的关联.
- 在不同的人群中调查这些关联:退伍军人,性少数群体男性和大学生.
- 确定特定的合规门是否可靠地预测数据有效性.
主要方法:
- 利用来自三个不同的样本 (退伍军人,性少数群体男性,大学生) 的数据.
- 操作化融合有效性作为在现场和追溯评估之间的人内关联,以及通过皮肤测量酒精的措施.
- 使用类内相关性 (ICC) 和完成评估的数量来评估可靠性.
主要成果:
- 欧洲金融机制总量的可靠性 (例如,每日平均值) 更多地取决于完成的评估数量和ICC,而不是单纯的遵守.
- 收的有效性显示与合规率的相关性,但关联很弱.
- 没有明确的合规门 (例如,80%),以区分良好的和糟糕的数据有效性.
结论:
- 在ESM研究中,合规率并不是数据可靠性或有效性的唯一决定因素.
- 研究人员应该考虑评估的数量和可靠性的ICC,并承认高合规性并不总是等同于高有效性.
- 调查结果表明,在ESM研究中,对合规性有细微的看法,适用于不同的人口群体.
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