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相关概念视频

Factorial Design02:01

Factorial Design

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
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The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
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在共同因子和复合材料之间进行嵌套模型比较.

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心理学研究经常使用反射模型,但形成模型可能更适合数据. 这项研究表明,反射型和形成型模型是嵌套的,允许使用统计测试进行比较,例如奇平方差异测试.

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科学领域:

  • 心理测量 心理测量
  • 结构方程建模 结构方程建模
  • 心理测量 心理测量 心理测量

背景情况:

  • 反射确认因素分析 (CFA) 是心理学研究中占主导地位的测量模型.
  • 形成性测量模型越来越多地被认为是理论上适合某些心理数据的.
  • 现有的结构方程建模 (SEM) 框架缺乏对形成性复合材料的直接规范.

研究的目的:

  • 为了证明反射CFA的理论和实证嵌套结构,形成的亨塞勒-奥加萨瓦拉确认复合分析,以及SEM内部形成的伪指标模型.
  • 评估嵌套模型比较技术的实用性,特别是千平方差异测试和RMSEA (RMSEA_D),用于区分反射和形成性测量模型.
  • 为研究人员提供关于选择和比较测量模型的实际指导和经验示例.

主要方法:

  • 在结构方程建模 (SEM) 框架内指定三个嵌套测量模型:反射CFA,形成的亨塞勒-奥加萨瓦拉确认复合分析和形成的伪指标模型.
  • 当结构组件和时,理论和实证证明这些模型之间的等级关系.
  • 一项模拟研究,以评估基平方差异测试和RMSEA_D在不同条件下 (样本大小,指标重量,外部相关性) 进行反射和形成模型之间的区别的性能.

主要成果:

  • 反映性CFA,形成性亨塞勒-奥加萨瓦拉确认复合分析和形成性伪指标模型被证明在和结构条件下相互嵌套.
  • 奇方差测试和RMSEA_D显示了可靠地区分反射和形成测量模型的潜力,尽管性能因样本大小,指标重量和构造相关性而异.
  • 实证示例说明了嵌套模型比较工具的应用,用于实际区分反射和形成性测量方法.

结论:

  • 反射和形成性测量模型可以在统一的SEM框架内使用嵌套模型比较技术进行正式比较.
  • 研究人员可以利用统计测试,如千平方差异测试,以经验验证反射和形成测量模型之间的选择.
  • 这些发现支持在理论上有理由的情况下,在心理学研究中更广泛地采用和严格评估形成性测量模型.