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

Reliability and Validity01:29

Reliability and Validity

12.9K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.9K

You might also read

Related Articles

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

Sort by
Same author

Compromised item detection: A Bayesian change-point perspective.

The British journal of mathematical and statistical psychology·2022
Same author

A new person-fit method based on machine learning in CDM in education.

The British journal of mathematical and statistical psychology·2022
Same author

Optimal Hierarchical Learning Path Design With Reinforcement Learning.

Applied psychological measurement·2020
Same author

International Comparative Study on PISA Mathematics Achievement Test Based on Cognitive Diagnostic Models.

Frontiers in psychology·2020
Same author

Stratified Item Selection Methods in Cognitive Diagnosis Computerized Adaptive Testing.

Applied psychological measurement·2020
Same author

The Asymptotic Distribution of Average Test Overlap Rate in Computerized Adaptive Testing.

Psychometrika·2019
Same journal

Testing linear hypotheses in repeated measures generalized linear models using external information.

Psychometrika·2026
Same journal

When Do Unifactorial Items Increase the Reliability?

Psychometrika·2026
Same journal

Longitudinal Designs for Diagnostic Models: Identification and Estimation.

Psychometrika·2026
Same journal

Modeling Rare Events and Nonmonotone Nonignorable Missingness of Time-Varying Outcomes and Predictors in Binary Time-Series Daily Diary Data: A Bayesian Selection Model.

Psychometrika·2026
Same journal

Revelle's Beta: The Wait Is Over-Computation Becomes Possible.

Psychometrika·2026
Same journal

On dimensional implication graphs.

Psychometrika·2026
See all related articles

Related Experiment Video

Updated: May 3, 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

5.4K

Psychometrics behind Computerized Adaptive Testing.

Hua-Hua Chang1

  • 1University of Illinois at Urbana-Champaign, 430 Psychology Building, 630 E. Daniel Street, M/C 716, Champaign, IL, 61820, USA, hhchang@illinois.edu.

Psychometrika
|February 7, 2014
PubMed
Summary
This summary is machine-generated.

This survey details 18 years of progress in Computerized Adaptive Testing (CAT), highlighting its theoretical foundations and practical applications. We demonstrate how CAT can support large-scale individualized instruction, even with traditional testing methods.

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author 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

1.3K
Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
10:10

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Published on: January 30, 2026

660

Related Experiment Videos

Last Updated: May 3, 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

5.4K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author 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

1.3K
Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
10:10

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Published on: January 30, 2026

660

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Probability Theory

Background:

  • Computerized Adaptive Testing (CAT) has evolved significantly over the past 18 years.
  • The development of CAT relies on a strong theoretical foundation, including Martingale Theory.
  • Large-scale implementation of CAT has presented unique challenges and opportunities.

Purpose of the Study:

  • To provide a comprehensive survey of 18 years of research and development in Computerized Adaptive Testing (CAT).
  • To illustrate the connection between theoretical probability frameworks and practical psychometric applications.
  • To explore the potential of CAT for supporting individualized instruction and adaptive testing methods.

Main Methods:

  • Historical review of the establishment of large sample foundations for CAT.
  • Derivation of asymptotic results using Martingale Theory.
  • Analysis of issues arising from large-scale CAT implementation.

Main Results:

  • Theoretical advancements in Probability Theory have been successfully applied to solve practical problems in CAT.
  • CAT has demonstrated its utility in addressing challenges encountered during large-scale test implementations.
  • The research confirms the effectiveness of CAT in facilitating individualized instruction.

Conclusions:

  • Computerized Adaptive Testing (CAT) offers a robust framework for modern educational and psychological assessment.
  • Theoretical research, particularly in Probability Theory, is crucial for advancing CAT.
  • CAT technology holds significant promise for personalized learning and adaptive assessment, even in non-digital formats.