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関連する概念動画

Reliability and Validity01:29

Reliability and Validity

13.2K
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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Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

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The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
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Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

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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.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
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False Memories01:18

False Memories

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False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
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Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Self-Evaluation: Self-Enhancement and Self-Verification03:00

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
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真実効果の信頼性とテスト再テストの安定性を評価する

Frank Calio1, Lena Nadarevic2, Jochen Musch1

  • 1University of Düsseldorf, Germany.

Consciousness and cognition
|August 28, 2025
PubMed
まとめ
この要約は機械生成です。

繰り返し述べると 真実効果として知られる 認識された妥当性が増加します しかし,この研究では,真相効果にはテスト-再テストの安定性がないことが判明し,個々の差異の研究に対する信頼性が疑問視されている.

キーワード:
幻想的な真実個々の違い半分の信頼性テスト テスト 安定性真実効果有効性評価

さらに関連する動画

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
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The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
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関連する実験動画

Last Updated: Sep 9, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
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科学分野:

  • 認知心理学
  • 社会心理学
  • 個人 の 違い 研究

背景:

  • 真実効果は,文の繰り返しが認識された妥当性を高める方法を説明します.
  • 真実効果と相関関係における個々の差異に関する研究は限られ,矛盾している.
  • 個別レベルでの真実効果の信頼性の高い測定は,安定した相関値を特定するために不可欠です.

研究 の 目的:

  • 真実効果の半分の信頼性とテスト再テストの安定性を調査する.
  • 個別差の研究における真実効果の確立された測定値の信頼性を評価する.

主な方法:

  • 真実効果を測定するために2つの実験が行われました.
  • 実験1は"項目間の基準"を使用した.
  • 実験2では within-items 基準を用いた.

主要な成果:

  • 真実効果は,両方の実験で非常に低いテスト-再テストの安定性を示した.
  • 安定性が低いのは,使用された測定値の不十分な信頼性による可能性が高い.
  • 確立された指標と標準的な測定は,人格と個人の違いの研究には適さないかもしれません.

結論:

  • 真実効果の現在の測定はテスト-再テストの安定性が低い.
  • この不安定さは,安定した個々の差を研究するためにこれらの測定法を使用することに懸念を喚起します.
  • 個別差の研究における真実効果を評価するための信頼できる方法を開発するには,さらなる研究が必要です.