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相关概念视频

Multiple Comparison Tests01:13

Multiple Comparison Tests

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...
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Distance Corrections01:15

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
Midpoint Rule01:20

Midpoint Rule

Approximating areas under curved boundaries is a common problem in applied mathematics, particularly when an exact calculation is difficult or impractical. One effective numerical method for this purpose is the Midpoint Rule, which provides an estimate of the area under a curve by using rectangular approximations over a specified interval.Description of the Midpoint RuleThe Midpoint Rule begins by dividing the given interval into a number of equal subintervals. For each subinterval, the...
Comparison Tests01:28

Comparison Tests

An infinite series composed of positive terms may either approach a finite value or increase without bound. Determining which outcome occurs is a central task in calculus, and comparison tests provide structured methods for making this determination. Rather than evaluating a series directly, these tests relate it to another series whose behavior is already known, allowing conclusions to be drawn through logical comparison.The direct comparison test applies to series with positive terms. If each...

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相关实验视频

Updated: Jul 2, 2026

Operant Procedures for Assessing Behavioral Flexibility in Rats
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比较多种方法来衡量离散审判指令的程序忠实性

Samantha Bergmann1, Haven Niland1,2, Valeria Laddaga Gavidia1,2

  • 1Department of Behavior Analysis, University of North Texas, 1155 Union Circle #310919, Denton, TX 76203 USA.

Education & treatment of children
|June 26, 2023
PubMed
概括

在自闭症干预中测量程序忠实性的不同方法产生了不同的结果. 发生-不发生的方法是耗时的,而一切或没有是最快的,但准确性在各种测量上有所不同.

关键词:
自闭症 自闭症 自闭症行为分析行为分析.离散试验指令的指令程序的完整性 程序的完整性处理完整性的完整性

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科学领域:

  • 行为科学 行为科学
  • 自闭症干预研究 研究 研究
  • 在心理学的测量.

背景情况:

  • 程序忠实性,或者说干预措施按照设计实施的程度,对于研究和实践至关重要.
  • 现有的研究还没有广泛地比较不同程序忠实度测量方法如何影响研究结果.
  • 准确的测量对于确保干预的有效性和避免临床实践中误解至关重要.

研究的目的:

  • 用各种测量方法,比较行为技术人员实施自闭症儿童离散试验指令协议的程序忠实性.
  • 评估不同的测量方法 (全球,全或无,利克特尺度,发生-不发生) 如何影响在组件和试验层面的准确度估计.
  • 确定对忠诚度的潜在高估或低估,并讨论对研究和临床实践的影响.

主要方法:

  • 观察行为技术人员遵守离散试验指令协议.
  • 使用:发生-不发生数据表 (个体组件和个体试验),全局忠实性,全部或没有,3点利克特度表和5点利克特度表方法来测量程序忠实性.
  • 收集的数据是每个测量方法所需的时间.

主要成果:

  • 在组件层面上,全球,3点和5点的利克特等级倾向于高估真实性和掩盖错误,与所有或没有的方法不同.
  • 在试验层面,全局和5点的利克特度表近似的个人试验忠诚度,而3点的利克特高估和全部或没有低估的忠诚度.
  • 发生-不发生的方法是最耗时的;通过试验的所有或没有的方法是最耗时的.

结论:

  • 程序忠实度测量方法的选择对评估干预依从性的评估产生重大影响,可能导致假阳性或假阴性.
  • 全球和利克特尺度方法可能会掩盖关键的实现错误,而全或无方法可能过于严格.
  • 研究人员和从业人员应根据对灵敏度,特异性和效率的需求仔细选择测量工具,以确保准确的准确性评估.