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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

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% chance...
Halo Effect01:27

Halo Effect

The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Random and Systematic Errors01:20

Random and Systematic Errors

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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Related Experiment Video

Updated: Jul 8, 2026

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

Effectiveness of error management training: a meta-analysis.

Nina Keith1, Michael Frese

  • 1Department of Work and Organizational Psychology, Justus-Liebig University of Giessen, Giessen, Germany. nina.keith@psychol.uni-giessen.de

The Journal of Applied Psychology
|January 24, 2008
PubMed
Summary

Error management training (EMT) enhances learning by encouraging errors. This meta-analysis confirms EMT

Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Human Factors Engineering

Background:

  • Error management training (EMT) involves active learning and error encouragement.
  • Previous studies on EMT show varied effect sizes compared to other training methods.
  • Understanding EMT's effectiveness requires analyzing factors influencing its outcomes.

Purpose of the Study:

  • To conduct a meta-analysis of existing studies on Error Management Training (EMT).
  • To explain the variation in effect sizes reported in previous EMT evaluations.
  • To identify key components and optimal conditions for EMT effectiveness.

Main Methods:

  • A meta-analysis was performed on 24 studies involving 2,183 participants.
  • Effect sizes were calculated and compared across different training conditions.

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Errors as a Means of Reducing Impulsive Food Choice
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Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
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Published on: September 20, 2020

Errors as a Means of Reducing Impulsive Food Choice
07:07

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  • Moderator analyses were conducted to identify factors influencing EMT outcomes.
  • Main Results:

    • EMT demonstrated a significant positive overall effect (Cohen's d = 0.44).
    • Effect sizes were larger for post-training transfer (d = 0.56) than for within-training performance.
    • EMT showed significantly higher effectiveness for adaptive transfer (d = 0.80) to distinct tasks compared to analogical transfer.

    Conclusions:

    • Error management training is effective in improving learning outcomes.
    • EMT is particularly beneficial for promoting transfer of skills to novel and structurally distinct tasks.
    • Active exploration and error encouragement are critical components driving EMT's success.