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有效和适应性:关于对蓝色标记物变量尺度的缩短态度的四项研究
Brian Miller1, Marcia Simmering2, Elizabeth Ragland3
1Texas State University, Management, San Marcos, TX, 78666, USA. bm25@txstate.edu.
Behavior research methods
|July 15, 2024
概括
对蓝色态度 (ATCB) 尺度的缩短版本有效检测常见方法方差 (CMV). 研究人员可以根据调查需求选择ATCB尺度长度,提高研究质量.
科学领域:
- 心理测量 心理测量
- 量化心理学 量化心理学
- 研究方法研究方法研究方法学
背景情况:
- 标记变量对蓝色的态度 (ATCB) 尺度有助于检测常见方法方差 (CMV).
- 最近的努力集中在开发更短的尺度排列,以获得更广泛的适用性.
研究的目的:
- 开发和验证ATCB尺度的更短版本.
- 评估缩短长度的ATCB秤在识别CMV在各种研究环境中的有效性.
主要方法:
- 使用了确认因素分析 (CFA) 标记技术测试.
- 评估了多个较短的版本 (如6,5,4项) 的ATCB尺度.
- 实验设计用于测试实质变量模型中的规模有效性.
主要成果:
- 所有测试的ATCB排列和长度都成功检测到CMV.
- 规模性能各不相同,但更短的版本被证明是有效的.
- 在不同的研究设计中证实了ATCB的适应性.
结论:
- ATCB 尺度是一个多功能工具,用于在不同的研究环境中检测CMV.
- 研究人员可以通过根据调查约束选择适当的ATCB尺度长度来优化CMV检测.
- 这些发现支持使用ATCB来确保高质量的研究.
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