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Longitudinal Research02:20

Longitudinal Research

13.0K
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...
13.0K
Longitudinal Studies01:26

Longitudinal Studies

454
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...
454
Cross-Sectional Research01:50

Cross-Sectional Research

12.3K
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...
12.3K
Applications of Life Tables01:22

Applications of Life Tables

316
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
316
Population Growth00:57

Population Growth

27.8K
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.
27.8K
Emerging Adulthood01:27

Emerging Adulthood

579
Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...
579

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相关实验视频

Updated: Jan 10, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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IPUMS多代纵向小组:进展和前景

Steven Ruggles1, Julia A Drew2, Catherine A Fitch2

  • 1University of Minnesota, Department of History.

Historical methods
|November 21, 2025
PubMed
概括
此摘要是机器生成的。

IPUMS多代纵向面板 (MLP) 链接了从1850年到现在的美国历史数据. 这种基础设施使得对长期人口和社会趋势的新研究成为可能.

关键词:
人口普查的人口普查.IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS IPUMS记录链接 记录链接纵向数据 纵向数据 纵向数据

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科学领域:

  • 人口统计学 人口统计学
  • 社会学 社会学 社会学
  • 历史研究 历史研究
  • 数据科学数据科学数据科学

背景情况:

  • 纵向人口数据对于理解随时间推移的社会变化至关重要.
  • 现有的数据集往往缺乏跨不同来源的全面,长期联系.
  • 美国人口研究需要一个综合的,高质量的纵向面板是显而易见的.

研究的目的:

  • 引入IPUMS多代纵向小组 (MLP) 作为一个新的资源.
  • 详细介绍MLP的基础设施,连接方法和未来发展计划.
  • 展示MLP在推进社会科学和人口学研究方面的潜力.

主要方法:

  • 通过将美国人口普查,调查,行政记录和1850年至今的重要统计数据联系起来,构建MLP.
  • 使用先进的记录链接技术来确保数据的准确性和完整性.
  • 开发一个强大的数据管理和可访问性技术基础设施.

主要成果:

  • 建立一个全面的纵向人口小组,跨越170年.
  • 成功地将各种历史数据源集成到统一的数据集中.
  • 使用MLP的早期研究应用的演示,突出其实用性.

结论:

  • IPUMS MLP为多代和历史人口研究提供了无与伦比的资源.
  • 未来的扩张计划,包括一个"连接枢纽",将进一步增强MLP的连接和研究潜力.
  • 该计划将有助于在理解美国的长期社会和人口动态方面取得重大进展.