利克特类型仪器上的等距离响应选项:使用Mplus测试间隔缩放假设
Georgios Sideridis1,2, Ioannis Tsaousis2, Hanan Ghamdi3
1Harvard Medical School, Boston, MA, USA.
Educational and psychological measurement
|September 4, 2023
概括
本研究介绍了一种方法来测试利克尔特类型尺度中的间隔缩放假设,这对于准确的自我报告数据统计分析至关重要. 应用这种方法确保了适当的统计估计器用于可靠的构造有效性测试.
科学领域:
- 心理测量 心理测量 心理测量
- 统计学方法论 统计学方法论
背景情况:
- 利克特类型的秤在自我报告仪器中被广泛使用.
- 参数统计学和连续数据估计器经常应用于利克特式规模数据.
- 间隔缩放假设是这些统计应用程序的基础.
研究的目的:
- 开发和评估一种方法来评估利克尔特类型尺度中的间隔缩放假设.
- 为研究人员提供工具,以确保适当的统计方法用于自我报告数据分析.
- 提高自报告仪器的构造有效性测试的可靠性和有效性.
主要方法:
- 利用模拟和真实数据进行可靠的评估.
- 雇佣的Mplus 8.8软件用于分析.
- 应用沃尔德测试和等距离指数来评估间隔缩放假设.
主要成果:
- 证明了拟议方法的可行性和实用性.
- 提供了Wald测试和等距离指数在评估假设的有效性的证据.
- 强调了满足间隔缩放假设对于准确的统计推理的重要性.
结论:
- 对于自我报告仪器,建议对间隔缩放假设进行例行评估.
- 实施这种方法确保选择合适的统计估计器.
- 这种方法加强了自我报告措施的构造有效性测试.
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