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Related Concept Videos

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.
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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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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: May 28, 2026

The Deese-Roediger-McDermott (DRM) Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott (DRM) Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

The hypercorrection effect persists over a week, but high-confidence errors return.

Andrew C Butler1, Lisa K Fazio, Elizabeth J Marsh

  • 1Psychology & Neuroscience, Duke University, Durham, NC 27708-0086, USA. andrew.butler@duke.edu

Psychonomic Bulletin & Review
|October 13, 2011
PubMed
Summary
This summary is machine-generated.

High-confidence errors are more likely corrected with feedback, but this effect diminishes over time. Forgotten correct answers can lead to reproducing initial high-confidence errors, even after a week.

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Area of Science:

  • Cognitive Psychology
  • Memory Research
  • Learning Sciences

Background:

  • Misconceptions are common and resistant to correction.
  • The hypercorrection effect shows high-confidence errors are more correctable with feedback.

Purpose of the Study:

  • To investigate the persistence of the hypercorrection effect over a 1-week delay.
  • To examine how memory for correct answers influences error reproduction after a delay.

Main Methods:

  • Participants answered general-knowledge science questions and rated their confidence.
  • Feedback was provided, and participants reanswered questions either immediately or after a 1-week delay.

Main Results:

  • The hypercorrection effect was observed immediately and after a delay, but error correction decreased over time.
  • High-confidence errors were more likely to be reproduced on the delayed test if the correct answer was forgotten.

Conclusions:

  • While high-confidence errors are initially more correctable, their persistence depends on memory for the correct information.
  • Findings contribute to understanding error correction and memory dynamics, highlighting the dual nature of high-confidence errors.