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相关概念视频

Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
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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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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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Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Ethics in Research01:56

Ethics in Research

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Nominal Level of Measurement00:56

Nominal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
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相关实验视频

Updated: May 20, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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学术研究价值:概念化和规模发展的初步步骤.

Andrea Kis1, Elena M Tur1, Krist Vaesen1

  • 1Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands.

PloS one
|March 25, 2025
PubMed
概括

这项研究在11个维度中确定了246个学术研究价值,为研究人员的动机提供了见解. 了解这些价值观可以增强科学事业和实践.

科学领域:

  • 社会心理学 社会心理学
  • 科学研究价值观 科学研究价值观

背景情况:

  • 影响研究人员态度和决策的动机是复杂的.
  • 关于个人,工作和科学工作价值观的现有文献提供了基础.

研究的目的:

  • 概念化影响研究人员态度,决策和行动的动机范围.
  • 制定一个全面的学术研究价值观框架.

主要方法:

  • 从价值理论和现有文献中整合了理论见解.
  • 对255名参与者进行了采访和调查.
  • 开发了学术研究价值观的分类学.

主要成果:

  • 提出了246项具有学术研究价值的项目.
  • 将这些项目组织成11个维度和34个子主题.
  • 将概念化与现有工作联系起来,并建议未来的规模开发.

结论:

  • 更好地了解研究人员的价值观可以改善科学事业.
  • 这种框架可以吸引各种人才进入科学领域.
  • 阐明了模范和可疑的科学实践背后的机制.

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