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

Quality Assurance01:19

Quality Assurance

109
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
109
Cochran's Q Test01:17

Cochran's Q Test

175
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
175
Econometric Views (EViews)01:29

Econometric Views (EViews)

96
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
96
Response Surface Methodology01:16

Response Surface Methodology

80
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
80
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

5.0K
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...
5.0K

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

Constructs should do work: Reply to Forbes (2026), Lorenzo-Luaces and Buss (2026), Markon (2026), and Paulus (2026).

Journal of psychopathology and clinical science·2026
Same author

Feasibility and Acceptability of a Smartphone and Wearable Assessment Protocol for Adolescents with Depression.

Research on child and adolescent psychopathology·2026
Same author

An individual participant data meta-analysis of how physical activity relates to affective well-being in daily life.

Nature human behaviour·2026
Same author

The distracted participant? Experience sampling response behavior and participant disturbance in social situations.

Psychological assessment·2026
Same author

Affective well-being trajectories during the transition out of upper secondary education: A measurement burst study.

Development and psychopathology·2026
Same author

Network models of symptoms following mild traumatic brain injury: A systematic review and meta-analysis.

Journal of the International Neuropsychological Society : JINS·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
Same journal

Psychometric functions from multiple responses : Dedicated to the memory of Colin L. Mallows.

Behavior research methods·2026
Same journal

Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.

Behavior research methods·2026
Same journal

PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.

Behavior research methods·2026
Same journal

Talking surveys: How photorealistic embodied conversational agents shape response quality, engagement, and satisfaction.

Behavior research methods·2026
查看所有相关文章

相关实验视频

Updated: May 21, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
00:08

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

6.9K

ESM-Q:基于共识的质量评估工具,用于经验抽样方法项目.

Gudrun Eisele1, Anu Hiekkaranta2, Yoram K Kunkels3

  • 1Department of Neurosciences, Center for Contextual Psychiatry, Campus Gasthuisberg, Herestraat 49 ON5B bus 1029, 3000, Leuven, Belgium. gudrunvera.eisele@kuleuven.be.

Behavior research methods
|March 22, 2025
PubMed
概括
此摘要是机器生成的。

研究人员开发了ESM-Q,这是一个新的质量评估工具,用于经验采样方法 (ESM) 项目. 该工具有助于确保使用ESM在心理学和行为研究中进行高质量的测量.

关键词:
健行诊断的评估方式德尔菲的研究研究研究.生态瞬间评价 生态瞬间评价项目质量标准 项目质量标准问卷开发 问卷的发展

更多相关视频

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.2K
Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients
08:37

Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients

Published on: April 18, 2025

229

相关实验视频

Last Updated: May 21, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
00:08

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

6.9K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.2K
Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients
08:37

Echocardiographic Assessment Using Subxiphoid-Only Examination for Hypotensive Patients

Published on: April 18, 2025

229

科学领域:

  • 心理测量 心理测量
  • 行为科学研究方法 行为科学研究方法

背景情况:

  • 经验采样方法 (ESM) 在各个学科中广泛用于研究日常生活.
  • 在ESM研究中,测量最佳实践和项目质量报告往往被忽视.
  • 在评估ESM项目质量方面缺乏共识,阻碍了一致的评估.

研究的目的:

  • 开发一种标准化工具来评估经验采样方法 (ESM) 的质量.
  • 解决国际专家在ESM项目质量评估上达成共识的需要.

主要方法:

  • 一个四阶段的德尔菲进程,涉及42名国际ESM专家.
  • 专家们确定,评价和完善了57个潜在的项目质量标准.
  • 开发ESM-Q工具,包括10个核心标准和15个补充标准.

主要成果:

  • 德尔菲进程的结果是ESM-Q,这是ESM项目全面的质量评估工具.
  • ESM-Q涵盖了关键方面,如构造有效性和项目措辞.
  • 专家们就评估ESM项目质量的核心和补充标准达成共识.

结论:

  • ESM-Q为选择,开发和评估高质量的ESM项目提供了急需的框架.
  • 该工具支持研究人员提高ESM研究中的测量严谨性.
  • 专家的见解确定了ESM项目设计和测量的未来研究方向.