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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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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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Updated: Sep 10, 2025

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Sorry, Am I Intruding? Comparing Performance and Intrusion Rates for Pretested and Posttested Information.

Kelsey K James1, Benjamin C Storm2

  • 1Department of Psychology, University of Houston Clear Lake, Houston, TX 77058, USA.

Behavioral Sciences (Basel, Switzerland)
|August 28, 2025
PubMed
Summary
This summary is machine-generated.

Pretesting and posttesting both aid learning, but pretests reduce false information intrusions more effectively than posttests. Even with feedback, posttests led to more false information being recalled.

Keywords:
errorslearningpretestingtestingthe negative suggestion effectthe pretesting effectthe testing effecttrue/false testing

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Area of Science:

  • Educational Psychology
  • Cognitive Science
  • Learning Sciences

Background:

  • Pretesting and posttesting are common classroom tools for assessing and enhancing learning.
  • Existing research on the comparative benefits of pretesting versus posttesting is inconclusive.
  • True/False tests are frequently used but their impact on learning, particularly false information recall, is not well understood.

Purpose of the Study:

  • To investigate the effects of true/false pretests and posttests on learning correct information.
  • To examine how pretesting and posttesting influence the intrusion rates of false information.
  • To compare the efficacy of pretesting and posttesting in minimizing false information recall.

Main Methods:

  • Three experiments were conducted using true/false tests to assess learning outcomes.
  • Participants completed pretests and posttests to evaluate knowledge acquisition and memory recall.
  • Intrusion rates of false information were measured alongside correct information recall.

Main Results:

  • Both pretesting and posttesting demonstrated consistent benefits for learning correct information.
  • Posttesting resulted in significantly higher intrusion rates of false information compared to pretesting.
  • While substantive feedback reduced overall false information intrusions, the difference between pretest and posttest intrusion rates remained significant.

Conclusions:

  • Pretesting appears more effective than posttesting in preventing the recall of false information.
  • While feedback mechanisms can mitigate false information recall, pretesting offers a distinct advantage in reducing intrusions.
  • Educational strategies should consider the differential impact of pretesting and posttesting on accurate versus inaccurate memory recall.