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相关概念视频

Inductive Reasoning00:59

Inductive Reasoning

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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The Nativist Approach01:21

The Nativist Approach

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The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
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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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Statistical Significance01:50

Statistical Significance

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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...
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Cause and Effect01:53

Cause and Effect

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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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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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相关实验视频

Updated: Jul 4, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
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Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

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反对从实验数据的天真诱导.

David Kellen1, Gregory E Cox2, Chris Donkin3

  • 1Department of Psychology, Syracuse University, Syracuse, NY, USA davekellen@gmail.com.

The Behavioral and brain sciences
|February 4, 2024
PubMed
概括
此摘要是机器生成的。

这篇评论批评了综合实验设计 (IED) 方法,认为它自动化了科学思维,可能阻碍了研究进展. 目前的零碎测试方法是针对IED的辩护.

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相关实验视频

Last Updated: Jul 4, 2025

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
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科学领域:

  • 科学方法科学方法学
  • 研究设计研究设计研究设计

背景情况:

  • 目前的实验实践,包括零碎的测试,面临着严格的审查.
  • 综合实验设计 (IED) 已被提出作为一种替代方法.

研究的目的:

  • 反对采用综合实验设计 (IED).
  • 突出IED可能阻碍科学进步的不良特征.

主要方法:

  • 这是一个评论,而不是经验研究.
  • 对拟议的综合实验设计 (IED) 的分析及其对科学思维和进步的影响.

主要成果:

  • 综合实验设计 (IED) 被视为自动化科学思维的尝试.
  • 确定了IED的一些不良特征.

结论:

  • IED的广泛应用可能会阻碍,而不是促进科学进步.
  • 尽管受到批评,但当前的实验实践在本评论中得到了辩护.