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相关概念视频

Case Studies01:22

Case Studies

11.6K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.6K
What Are Outliers?01:12

What Are Outliers?

3.6K
Outliers are observed data points that are far from the least squares line. They have unusual values and need to be examined carefully. Though an outlier may result from erroneous data, at other times, it may hold valuable information about the population under study and should be included in the data. Hence, it is crucial to examine what causes a data point to be an outlier.
The z score is used to find outliers or unusual values. It should be noted that any values beyond -2 and +2 are...
3.6K
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

49.7K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
49.7K
Naturalistic Observations02:30

Naturalistic Observations

15.4K
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...
15.4K
Statistical Significance01:50

Statistical Significance

20.1K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.1K
Outliers and Influential Points01:08

Outliers and Influential Points

4.0K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
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相关实验视频

Updated: Jun 7, 2025

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

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探索学生在与异常数据接触时的感知.

Adrian Adams1, Lauren Barth-Cohen2

  • 1Department of Educational Psychology, University of Utah, Salt Lake City, UT 84112.

CBE life sciences education
|November 20, 2024
PubMed
概括

在研究中遇到异常数据的学生使用各种推理策略来理解和解决它. 解释异常的原因影响了如何处理数据的决策,这对于有效的实验室支持至关重要.

科学领域:

  • 本科研究教育研究教育.
  • 科学推理的科学推理
  • 数据分析数据分析

背景情况:

  • 学生在本科研究中经常遇到异常数据,偏离预期的结果.
  • 当前的研究通常依赖于追溯方法,如采访或调查,以了解学生对异常的推理.
  • 需要研究学生在面对意想不到的数据时的实时决策过程.

研究的目的:

  • 调查学生在识别和处理异常数据时的即时感知和推理.
  • 探索学生在与意想不到的数据点互动时所使用的认识论资源.
  • 了解学生对异常的解释如何影响他们随后的数据处理选择.

主要方法:

  • 进行了大声思考采访,本科生与更大的数据集中的异常数据互动.
  • 定性分析的重点是确定学生的认识论资源和推理模式.
  • 该研究检查了学生的推理和他们对异常数据的决定之间的联系.

主要成果:

  • 学生在对异常数据的理解过程中使用各种认识论资源.
  • 学生对异常产生的解释直接影响他们保留,删除,回忆或减轻数据的决定.
  • 当学生处理意想不到的结果时,他们的推理过程是复杂和多样化的.

更多相关视频

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

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相关实验视频

Last Updated: Jun 7, 2025

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
05:22

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

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结论:

  • 了解学生对异常数据的直接推理对于研究环境中有效的教学支持至关重要.
  • 该研究强调了实时分析学生感知能力的重要性,以改善本科研究培训.
  • 根据学生的认识论资源开发有针对性的干预措施,可以提高他们管理异常数据的能力.