Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Longitudinal Studies01:26

Longitudinal Studies

165
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
165
Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
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.
12.7K
Confirmation Biases01:31

Confirmation Biases

5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K
Factorial Design02:01

Factorial Design

13.0K
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...
13.0K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Psychometric validation of the Angioedema Quality of Life Questionnaire (AE-QoL) for hereditary angioedema.

Journal of patient-reported outcomes·2026
Same author

What Outcome Measurement Instruments Are Used to Measure Caregiver Infant-Feeding Practices and the Feeding Environment: A Scoping Review.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2026
Same author

Cosmin reporting guideline for studies on measurement properties of patient-reported outcome measures and its explanation and elaboration document: translation into Brazilian Portuguese.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same author

Validity, reliability, and longitudinal measurement properties of the Asthma Daytime and Nighttime Symptom Diaries in patients with moderate-to-severe asthma.

Journal of patient-reported outcomes·2026
Same author

Methods for analytical validation of novel digital clinical measures: A simulation study.

PloS one·2026
Same author

Psychometric properties and reference values of nine PROMIS parent-proxy measures for children aged 5 to 7 years in the Netherlands.

Journal of patient-reported outcomes·2026

相关实验视频

Updated: Jul 7, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K

使用纵向确认因素分析估计基于的最小重要变化.

Berend Terluin1,2, Andrew Trigg3, Piper Fromy4

  • 1Department of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. b.terluin@amsterdamumc.nl.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
|December 27, 2023
PubMed
概括

纵向确认因子分析 (LCFA) 准确地估计了患者报告结果指标 (PROM) 的最小重要变化 (MIC). 这种方法是高效和可靠的,尽管更大的样本大小 (超过125) 建议获得最佳精度.

关键词:
纵向的确认因素分析.纵向物品响应理论是什么有意义的变化门.最小的重要变化.患者报告的结果衡量措施.过渡级别的评级是过渡级别.

更多相关视频

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

788
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K

相关实验视频

Last Updated: Jul 7, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.9K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

788
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K

科学领域:

  • 心理测量 心理测量 心理测量
  • 健康 结果 研究 研究 结果
  • 统计建模 统计建模

背景情况:

  • 最小重要的变化 (MIC) 量化了患者报告的结果指标 (PROM) 中对患者具有意义的最小变化.
  • 准确估计MIC对于解释临床试验结果和指导患者护理至关重要.
  • 现有的MIC估计方法存在局限性,需要开发更有效,更可靠的方法.

研究的目的:

  • 引入和评估一种使用纵向确认因子分析 (LCFA) 估计MIC的新方法.
  • 为了比较基于LCFA的MIC估计方法与纵向项目响应理论 (LIRT) 方法的性能.
  • 调查样本大小对基于LCFA的MIC估计的准确性和精度的影响.

主要方法:

  • 模拟了108个具有不同特征的数据集,以使用LCFA和LIRT方法估计MIC.
  • 将LCFA和LIRT方法应用于909名患者的真实世界PROMIS疼痛行为数据.
  • 对3888个不同大小 (125-1000) 的样本进行了进一步的模拟,以评估样本大小对基于LCFA的MIC的影响.

主要成果:

  • 在MIC恢复中,LCFA的准确性与LIRT相当,但在计算上是50倍以上的速度.
  • 在PROMIS疼痛行为数据中,LCFA的MIC为2.85,而LIRT的MIC为2.60.
  • 模拟表明,较小的样本大小 (低于125) 降低了基于LCFA的MIC估计的精度,并增加了非趋同率.

结论:

  • LCFA提供了一种准确且计算效率高的方法来估计最小重要的变化 (MIC).
  • 虽然LCFA方法很强大,但样本大小超过125是最好的,以提高精度和模型稳定性.
  • 这项研究验证了LCFA作为患者报告结果研究中MIC估计的有价值工具.