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

155
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...
155
Longitudinal Research02:20

Longitudinal Research

11.9K
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...
11.9K
Cross-Sectional Research01:50

Cross-Sectional Research

11.3K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.3K
Environmental Influences on Intelligence01:29

Environmental Influences on Intelligence

255
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
255
Population Growth00:57

Population Growth

25.1K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
25.1K
Heritability01:06

Heritability

195
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"...
195

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

How many children do couples have when they break up? Educational stratification in parity at separation.

Population studies·2025
查看所有相关文章

相关实验视频

Updated: Jun 20, 2025

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

6.3K

在12个国家重建未来的代际教育流动性

Gordey Yastrebov1, Vanessa Wittemann1

  • 1Institute of Sociology and Social Psychology, University of Cologne, Köln, Germany.

Demography
|July 17, 2024
PubMed
概括

本研究探讨了女性的教育和生育能力如何影响欧洲世代间的教育流动. 虽然生育率部分抵消了教育不平等,但其整体影响很小,而且正在下降,跨国差异有限.

科学领域:

  • 社会学 社会学 社会学
  • 人口统计学 人口统计学
  • 欧洲社会研究 欧洲社会研究

背景情况:

  • 代际教育流动性是社会平等的一个关键指标.
  • 了解生育模式和教育程度之间的相互作用对于社会政策至关重要.
  • 之前的研究还没有完全捕捉到教育流动和生育作用的前性质.

研究的目的:

  • 为欧洲妇女重建未来的代际教育流动性.
  • 研究生育率对不同不平等背景下的教育流动性的影响.
  • 为了比较移动性研究的前性和后性数据方法.

主要方法:

  • 利用一种新的推断方法,将回顾性 (世代和性别调查) 和前性数据结合起来.
  • 分析了12个欧洲国家的1925年至1950年间出生女性的数据.
  • 评估了兄弟姐妹大小在生育教育梯度上的调解作用.

主要成果:

  • 观察到一个负的教育生育梯度,部分弥补了流动性不平等.
  • 这种梯度在高度不平等的欧洲环境中最为明显.
  • 发现在教育流动性中生育率的作用很小,正在下降,并不能解释国家一级的显著差异.
关键词:
教育生育率梯度梯度的教育.教育复制教育复制未来的模型是有前景的.兄弟船的尺寸效应影响社会流动性 社会流动性

更多相关视频

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

630
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.2K

相关实验视频

Last Updated: Jun 20, 2025

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

6.3K
Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

630
Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
07:29

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

Published on: November 22, 2019

8.2K

结论:

  • 生育率对减轻教育流动不平等的贡献是有限的,并且正在减少.
  • 发现,在调节生育率梯度方面,姐妹船大小的影响是可以忽略不计的.
  • 当可用时,前性数据提供了比回顾性数据更准确的教育流动率重建.