Related Experiment Video
Updated: Aug 29, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke
Published on: January 7, 2019
The test developer's dilemma: Evaluating the balance of feasibility and empiric performance of test development
Eric Shappell1, Mary Jo Wagner2, John Bailitz3
1Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Purpose:
Written assessments face challenges when administered repeatedly, including resource-intensive item development and the potential for performance improvement secondary to item recall as opposed to understanding. This study examines the efficacy of three-item development techniques in addressing these challenges.
Methods:
Learners at five training programs completed two 60-item repeated assessments. Items from the first test were randomized to one of three treatments for the second assessment: (1) Verbatim repetition, (2) Isomorphic changes, or (3) Total revisions. Primary outcomes were the stability of item psychometrics across test versions and evidence of item recall influencing performance as measured by the rate of items answered correctly and then incorrectly (correct-to-incorrect rate), which suggests guessing.
Results:
Forty-six learners completed both tests. Item psychometrics were comparable across test versions. Correct-to-incorrect rates differed significantly between groups with the highest guessing rate (lowest recall effect) in the Total Revision group (0.15) and the lowest guessing rate (highest recall effect) in the Verbatim group (0.05), p = 0.01.
Conclusions:
Isomorphic and total revisions demonstrated superior performance in mitigating the effect of recall on repeated assessments. Given the high costs of total item revisions, there is promise in exploring isomorphic items as an efficient and effective approach to repeated written assessments.[Box: see text].
More Related Videos
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
06:28Author Spotlight: Developing Low-Tech Balance Assessment Methods for Broad-Spectrum Healthcare Applications
Published on: September 1, 2023
Related Concept Videos
Reliability and Validity
Group Design
Development of Analytical Methods
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
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...
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...