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

Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.0K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.0K
Human Genetics01:28

Human Genetics

1.5K
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
1.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

290
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
290
Genetic Screens02:46

Genetic Screens

5.6K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.6K
Heritability01:06

Heritability

590
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
590
Polygenic Traits01:18

Polygenic Traits

68.9K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
68.9K

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

Triarchic Psychopathy Traits as Predictors of Antisocial Behavior, Socioemotional Functioning, and Academic Performance in Adolescence.

Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53·2026
Same author

Distinct Event-Related-Potential Biomarkers of Broad Versus Specific Dimensions of the Hierarchical Taxonomy of Psychopathology Externalizing Spectrum.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same author

On the relationship between indirect measures of Black versus White racial attitudes and discriminatory outcomes: An adversarial collaboration using a sample of White Americans.

Journal of personality and social psychology·2026
Same author

Evidence for Reduced Monitoring of Children's Laboratory Task Performance by Punitive Parents: An ERP Study.

Research on child and adolescent psychopathology·2026
Same author

Electrodermal reactivity in an aversive countdown task: Concurrent and prospective relations with triarchic psychopathy traits and antisocial behavior outcomes in a child-aged sample.

Frontiers in psychiatry·2025
Same author

Beyond mild, moderate, and severe traumatic brain injury: modelling severity from clinical, neuroimaging, and blood-based indicators.

EBioMedicine·2025

相关实验视频

Updated: Jan 17, 2026

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

6.7K

创建潜在因素的规模测量:一种遗传算法方法.

Kelsey L Lowman1, Thomas H Costello2,3, Rochelle A Stewart1

  • 1Florida State University, Tallahassee, USA.

Assessment
|September 25, 2025
PubMed
概括

遗传算法 (GA) 为开发新的心理尺度提供了一种新的方法. 这项研究使用了GA来为三级精神病症框架创建精确的测量,从而改善了临床评估.

关键词:
遗传算法是一种遗传算法.隐性变量模型的模型.机器学习是机器学习.精神病态精神病态精神病态精神病态精神病态精神病态规模发展发展规模发展.

更多相关视频

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

7.2K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

相关实验视频

Last Updated: Jan 17, 2026

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

6.7K
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

7.2K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

科学领域:

  • 心理学 心理学 心理学
  • 量化心理学 量化心理学
  • 心理测量 心理测量 心理测量

背景情况:

  • 遗传算法 (GA) 主要用于缩小规模.
  • 三级精神病的框架包括大胆,卑和无节制.
  • 新规模的开发需要有效的项目选择方法.

研究的目的:

  • 应用修改后的GA来开发新的尺度,用于三级精神病的框架.
  • 用模型估计的因子得分作为项目选择的目标.
  • 通过结构和项目响应建模来改进选择的项目集.

主要方法:

  • 模拟的三阶层精神病态结构 (大胆,卑,无抑制) 作为潜在的因素.
  • 应用了修改后的GA来从基本精神病评估中选择项目.
  • 使用结构和项目响应建模用于缩放精细化.

主要成果:

  • 开发的EPA-Triarchic尺度与目标因子得分高度相关.
  • 与现有指标相比,新的天平显示了较强的负载.
  • GA有效地选择了索引潜在因素的项目.

结论:

  • 遗传算法可以有效地用于心理测量的新规模开发.
  • 开发的EPA-Triarchic尺度提供了一个强大的心理病构造的衡量标准.
  • 这种GA方法在临床评估和心理测量方面具有广泛的潜在应用.