Related Experiment Video
Updated: Sep 10, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
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.
None:
Pretesting and posttesting have long been implemented in classrooms as methods of testing and improving learning. Prior research has been mixed on the relative benefits of pretesting versus posttesting, with some studies finding pretesting to be more beneficial, and others finding posttesting to be more beneficial. True/False testing is a particularly easy-to-implement method and is regularly used in classrooms. However, relatively little is known about how these tests affect learning. Three experiments address the effects of true/false pre- and posttests on learning correct information and intrusion rates of false information. We find consistent benefits of both pretesting and posttesting but significantly higher intrusion rates for posttesting relative to pretesting, a finding that persisted despite inclusion of simple True/False feedback (Experiment 2) and substantive feedback (Experiment 3). Although the difference between pretesting and posttesting intrusion rates was still significant with the addition of substantive feedback, overall intrusion rates were greatly reduced.
Related Concept Videos
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Comparing Experimental Results: Student's t-Test
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Accuracy and Errors in Hypothesis Testing
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%...
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...

