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相关概念视频

Reliability and Validity01:29

Reliability and Validity

12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Statistical Analysis: Overview01:11

Statistical Analysis: Overview

6.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.1K
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

309
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
309
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

73.4K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
73.4K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.4K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.4K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

1.4K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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相关实验视频

Updated: Jun 7, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

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对单项评估的不同可靠性估计方法的比较:模拟研究研究.

Sijun Zhang1, Kimberly Colvin2

  • 1Institute of Educational Sciences, Hunan University, Changsha, China.

Frontiers in psychology
|November 18, 2024
PubMed
概括

研究人员可以通过结合双重单调性模型和调整减弱方法来最好地估计单项评估可靠性. 这项模拟研究发现,这些结合方法为单项措施提供了最精确的可靠性估计.

科学领域:

  • 心理测量 心理测量 心理测量
  • 教育测量教育的测量
  • 心理评估 心理评估

背景情况:

  • 单项评估越来越多地在各学科中使用.
  • 估计它们的可靠性的现有方法包括因子分析,减弱校正,双重单调性模型,Guttman的λ6和潜在类模型.
  • 这些可靠性估计方法对于单项评估缺乏经验验证.

研究的目的:

  • 实证地研究和比较不同方法的有效性,以估计单项评估的可靠性.
  • 确定最准确的方法来评估单项措施的可靠性.

主要方法:

  • 进行了模拟研究,以评估各种可靠性估计方法.
  • 模拟参数包括项目区分,多项目测试长度,样本大小以及单项和多项评估之间的相关性.
  • 评估的方法包括基于因子分析,减弱校正,双重单调性模型,Guttman的λ6和潜在类型的方法.

主要成果:

  • 双重单调性模型和调整减弱方法的组合在94.44%的模拟病例中提供了最精确的可靠性估计.
  • 项目歧视,多项目测试长度,样本大小和相关性等因素并没有显著影响最佳方法的选择.
  • 没有任何一种方法在所有模拟条件下始终优于其他方法.
关键词:
格特曼的 λ6 的 λ6为减弱进行校正.双重单调性的模型在因子分析方面,我们进行了因素分析.隐藏类模型模型中的隐藏类模型.可靠性的可靠性模拟研究是模拟研究.单项评估的评估是一个单项评估.

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Last Updated: Jun 7, 2025

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
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Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

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Assessment of Child Anthropometry in a Large Epidemiologic Study

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结论:

  • 同时应用双重单调性模型和减弱校正为估计单项评估可靠性提供了最可靠的方法.
  • 确定的最佳方法在各种项目和样本特征中是稳定的.
  • 这一发现为使用单项评估的研究人员提供了实际指导.