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相关概念视频

Uncertainty in Measurement: Accuracy and Precision03:37

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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相关实验视频

Updated: Jun 11, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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基于并发症的真实性判断:一个训练实验

Haneen Deeb1, Aldert Vrij1, Jennifer Burkhardt1

  • 1School of Psychology, Sport and Health Sciences, University of Portsmouth, Portsmouth PO1 2DY, UK.

Behavioral sciences (Basel, Switzerland)
|September 28, 2024
PubMed
概括
此摘要是机器生成的。

训练以检测真实报道中的并发症并没有提高真实性判断的准确性. 即使受过训练,观察者也无法准确地检测出并发症,这表明当前用于谎言检测的训练方法的局限性.

关键词:
并发症可能导致并发症.面试 面试 面试 面试谎言检测 检测 谎言检测判断的真实性判断的真实性语言暗示 语言暗示 语言暗示

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Last Updated: Jun 11, 2025

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科学领域:

  • 心理学 心理学 心理学
  • 法医心理学 法医心理学
  • 认知心理学 认知心理学

背景情况:

  • 在真实的报道中,相比欺骗的报道中,并发症更频繁.
  • 之前的研究还没有实验性评估并发症检测培训对真实性判断的影响.

研究的目的:

  • 调查观察者的真实性判断的准确性,当专注于成绩单中的并发症时.
  • 为了确定是否训练检测并发症可以提高区分真实和欺骗性报道的准确性.

主要方法:

  • 87名参与者评判了10份成绩单 (5份是真实的,5份是假的).
  • 参与者被分为训练有素 (n≈44) 和未训练有素 (n≈43) 组.
  • 经过培训的小组接受了关于检测并发症的指导.

主要成果:

  • 训练有素的参与者比未受训练的参与者更积极地寻找并发症.
  • 尽管进行了搜索,但训练有素的参与者并没有准确地检测出并发症.
  • 在受过训练和未受训练的组之间,真实性判断的准确性没有显著差异.

结论:

  • 训练检测并发症并没有提高真实性判断的准确性.
  • 培训的简短或不敏感性可能解释了缺乏改进.
  • 需要进一步的研究,以开发更有效的培训协议,以基于并发症的谎言检测.