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相关概念视频

Data Collection by Observations01:08

Data Collection by Observations

12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
364
Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Updated: Jun 30, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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没有代码书的数据集:民族学和开放科学

Shamus Khan1, Jennifer S Hirsch2, Ohad Zeltzer-Zubida3

  • 1Departments of Sociology and American Studies, Princeton University, Princeton, NJ, United States.

Frontiers in sociology
|March 20, 2024
PubMed
概括
此摘要是机器生成的。

民族学中的开放数据可能会损害数据质量和受试者的匿名性. 需要进一步的研究来了解开放数据实践对民族学研究的影响,以便在广泛采用之前.

关键词:
认识论的认识论学.人种学 民族学 人种学方法论 方法论 方法论开放科学是一个开放的科学.定性方法是一种定性方法.

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科学领域:

  • 社会科学 社会科学 社会科学
  • 人类学是人类学.
  • 社会学 社会学 社会学

背景情况:

  • 在科学研究中,对开放数据的要求越来越多.
  • 人种学研究对数据共享和开放提出了独特的挑战.
  • 现有的开放数据框架可能与民族学方法不一致.

研究的目的:

  • 批判性地评估开放数据原则在民族学研究中的适用性和影响.
  • 检查开放数据实践对种族学中的数据质量和主题保密性的潜在影响.
  • 质疑开放数据对所有科学学科的普遍益处.

主要方法:

  • 在关于性暴力的民族学研究中对个人经历的反思.
  • 分析开放数据的认识论,政治经济和监管逻辑.
  • 评估开放数据原则与种族数据收集和分析的实用性.

主要成果:

  • 开放数据实践可能会损害民族学数据的质量.
  • 在开放数据政策下确保受试者的匿名性可能会阻碍数据复制.
  • 开放数据的逻辑并不总是与民族学的本体学和认识论基础相兼容.

结论:

  • 在没有经验评估的情况下盲目采用民族学中的开放数据原则是不建议的.
  • 需要进一步的研究,以了解开放数据对民族学数据质量和完整性的具体影响.
  • 在接受开放数据之前,民族学社区和资助机构应该仔细考虑后果.