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相关概念视频

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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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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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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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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Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Blind Procedures02:07

Blind Procedures

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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相关实验视频

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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现实世界的统计规律性影响 无意识失明

Ling Lee Chong1, Diane M Beck1

  • 1Department of Psychology, University of Illinois, 603 E. Daniel Street, Champaign, IL 61820, United States.

Consciousness and cognition
|October 24, 2024
PubMed
概括

不注意性失明,即无法注意到意想不到的刺激,在统计学上不太可能的场景中比可能的场景更有可能发生. 这项研究研究了场景的规律性及其对视觉注意力的影响.

科学领域:

  • 认知心理学 认知心理学
  • 视觉感知 视觉感知 视觉感知
  • 注意力研究研究研究研究

背景情况:

  • 观察者经常错过现实世界场景中的统计不规则.
  • 对于不太可能的刺激,注意力失明率更高.
  • 对可能与不可能场景的注意率的直接比较是缺乏的.

研究的目的:

  • 调查是否注意力失明的可能性在统计学上可能和不可能的场景之间有所不同.
  • 为了确定场景的规律性是否影响对意想不到的刺激的感知.

主要方法:

  • 进行了两次大规模实验.
  • 在一个关键的试验中,参与者被呈现了一个可能的或不可能的场景.
  • 在两组之间比较了不注意性失明的比率.

主要成果:

  • 在观看不太可能的场景的参与者中,观察到较高的注意力失明率.
  • 参与者在统计学上不规则的场景中不太可能注意到意想不到的刺激.

结论:

  • 一个场景的统计规律性显著影响了经历注意力失明的可能性.
  • 不可能的场景增加了错过意想不到的视觉信息的风险.
关键词:
预期性的预期性不注意导致的失明.一些场景,一些场景.统计的规律性 统计的规律性

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