Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Editorial: Advances in surgical techniques and ML/DL-based prognostic biomarkers for surgical and adjuvant therapies of hepatobiliary and pancreatic cancers.

Frontiers in oncology·2026
Same author

[Mechanism of electroacupuncture in alleviating learning and memory impairment in rats with post-stroke cognitive impairment by regulating the IRS-1/PI3K/AKT signaling pathway and glucose transporters].

Zhen ci yan jiu = Acupuncture research·2026
Same author

Association of Glucagon-like Peptide-1 Receptor Agonists with Mortality and Aspiration Pneumonia in Patients with Type 2 Diabetes After Gastrostomy: A Target Trial Emulation Study.

International journal of medical sciences·2026
Same author

Baseline dynamic contrast-enhanced magnetic resonance imaging derived parameters and magnetic resonance signal intensity based logistic regression model to predict response of esophageal squamous cell carcinoma to neoadjuvant immunochemotherapy.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus·2026
Same author

Coenzyme Q10 ameliorates obesity by promoting white adipose tissue browning and preserving mitochondrial dynamics in ovariectomized rats fed a high-fat diet.

The Journal of nutritional biochemistry·2025
Same author

MRI based fractal analysis of esophageal squamous cell carcinoma to preoperatively predict lymphnode metastasis.

European journal of radiology·2025

Related Experiment Video

Updated: Jul 13, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Controlling item exposure and test overlap on the fly in computerized adaptive testing.

Shu-Ying Chen1, Pui-Wa Lei, Wen-Han Liao

  • 1Department of Psychology, National Chung-Cheng University, Taiwan, ROC. psysyc@ccu.edu.tw

The British Journal of Mathematical and Statistical Psychology
|July 26, 2007
PubMed
Summary

This study introduces an efficient on-line procedure for controlling item and test overlap in computerized adaptive tests (CATs). It enhances test security without simulations, outperforming existing methods.

More Related Videos

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol
13:09

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol

Published on: April 1, 2018

Related Experiment Videos

Last Updated: Jul 13, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol
13:09

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol

Published on: April 1, 2018

Area of Science:

  • Psychometrics
  • Computerized Adaptive Testing (CAT)
  • Educational Measurement

Background:

  • Traditional methods for controlling item exposure and test overlap in CATs often rely on time-consuming iterative simulations.
  • Maintaining test security, including item exposure and test overlap rates, is crucial for the integrity of standardized assessments.
  • Existing on-line procedures may not offer optimal control or efficiency, especially when test parameters change.

Purpose of the Study:

  • To propose and evaluate an on-line procedure for simultaneous control of item exposure and test overlap in CATs.
  • To demonstrate the efficiency of the on-line procedure by eliminating the need for pre-test iterative simulations.
  • To compare the performance of the proposed on-line procedure against the Sympson and Hetter (SHT) procedure and other on-line alternatives.

Main Methods:

  • Development of an on-line Sympson and Hetter procedure with test overlap control (SHT).
  • Sequential updating of exposure parameters on-the-fly during CAT administration.
  • Comparative analysis of the proposed on-line method with the SHT procedure and other on-line alternatives regarding item exposure and test overlap control.

Main Results:

  • The proposed on-line procedure effectively controls item exposure and test overlap at both item and test levels without iterative simulations.
  • The on-line procedure demonstrated superior performance in controlling item exposure and test overlap compared to the SHT procedure, particularly for early test-takers.
  • The method proved more effective than two other on-line alternatives, offering the best overall test security control.

Conclusions:

  • The developed on-line procedure offers an efficient and effective solution for managing item exposure and test overlap in CATs.
  • This method enhances test security by providing real-time control without the computational burden of iterative simulations.
  • The procedure is adaptable to changes in item pools or examinee populations, making it a valuable tool for operational CATs.