验证IDRIS和IDRIA:用于检测疏忽和不充分努力的调查对象的两种不频/频率尺度
1Psychology Department, Union College, 807 Union Street, Schenectady, NY, 12308, USA. cameronstuartkay@gmail.com.
Behavior research methods
|July 8, 2024
概括
研究人员现在可以使用语句无效响应库 (IDRIS) 和形容词无效响应库 (IDRIA) 来检测疏忽和不足的努力 (C/IE) 调查响应. 这些经过验证的工具有助于确保心理学研究中的数据质量.
科学领域:
- 心理测量 心理测量
- 调查方法 调查方法
- 数据质量保证 数据质量保证
背景情况:
- 检测不小心和不充分的努力 (C/IE) 响应对于保持调查数据完整性至关重要.
- 识别C/IE响应的传统方法可能是资源密集的或缺乏全面的验证.
- 不频率和频率项目提供了一种有希望的方法来识别偏离真正参与的响应风格.
研究的目的:
- 为两个新组的稀有和频率项目提供初始验证:语句的14项无效响应库 (IDRIS) 和形容词的6项无效响应库 (IDRIA).
- 评估IDRIS和IDRIA在检测C/IE响应的各种规模和参与者类型方面的能力.
主要方法:
- 通过多样化的样本进行了六项研究 (N = 3627总数).
- 使用基于语句的尺度 (例如,HEXACO-PI-R) 测试IDRIS.
- 用形容词为基础的尺度 (例如,Lex-20,BFI-2) 评估IDRIA.
- 验证涉及各种分析方法和C/IE响应指数.
主要成果:
- 发现了IDRIS能够检测C/IE在基于语句的尺度上响应的能力的一致证据.
- 发现了IDRIA能够检测C/IE响应在形容词基础和形容词衍生尺度上的能力的一致证据.
- 通过不同的分析方法,C/IE指数和样本类型 (美国本科生,尼日利亚调查参与者) 证明了这些发现的稳定性.
结论:
- IDRIS和IDRIA显示出有希望的实用性,作为识别疏忽和不充分努力的工具.
- 这些库存为研究人员提供可靠的方法来提高调查数据的质量和有效性.
- 进一步应用IDRIS和IDRIA可以为心理研究中更准确的发现做出贡献.
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