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

Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

94.6K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
94.6K
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

395
Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus:...
395
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

434
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
434

You might also read

Related Articles

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

Sort by
Same author

Targeting astrocytic Dp71 attenuates BBB disruption after traumatic brain injury through WTAP-associated m<sup>6</sup>A regulation of MMP2.

Science advances·2026
Same author

Portable kits based on L-arginine modified Cu-CuFe<sub>2</sub>O<sub>4</sub> with superior peroxidase-like activity for colorimetric detection of cholesterol and glucose in human serum.

Mikrochimica acta·2026
Same author

The Riemann Hypothesis manifested in dynamical quantum phase transitions.

Nature communications·2026
Same author

Cardiometabolic Index: a novel prognostic biomarker for recurrent stroke risk in acute ischemic stroke patients.

Frontiers in neurology·2026
Same author

The EM Algorithm and Its Variants in Cognitive Diagnostic Models: Comparing Their Propensity for Boundaries, Extremes, Convergence, and Suboptimal Solutions.

Applied psychological measurement·2026
Same author

Multiparticle entanglement of nuclear spins in silicon.

Nature communications·2026
Same journal

From silenced shock to strategic resilience: a longitudinal qualitative study of nurse residents' trajectory in coping with patient verbal abuse.

Frontiers in psychology·2026
Same journal

Validation of the Internet Addiction Test (IAT) for forest firefighters: implications for human-technology interaction and occupational safety in the future of work.

Frontiers in psychology·2026
Same journal

Development and validation of the football emotion scale for Chinese youth players: a psychometric study.

Frontiers in psychology·2026
Same journal

From online engagement to offline action: how social media environmental engagement shapes university students' pro-environmental citizenship through intrinsic motivation and personal norms.

Frontiers in psychology·2026
Same journal

The multidimensional inventory of religious/spiritual wellbeing in Hungarian language: psychometric properties and initial validation.

Frontiers in psychology·2026
Same journal

Effects of occupational factors on depression in Chinese veterans: a fsQCA study based on 2022 CFPS data.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Dec 26, 2025

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

6.2K

Attribute Discrimination Index-Based Method to Balance Attribute Coverage for Short-Length Cognitive Diagnostic

Yutong Wang1, Xiaojian Sun2, Weifeng Chong1

  • 1Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.

Frontiers in Psychology
|March 18, 2020
PubMed
Summary
This summary is machine-generated.

A new method improves cognitive diagnostic computerized adaptive testing (CD-CAT) by balancing attribute coverage using the attribute discrimination index (ADI). This approach enhances classification accuracy compared to traditional methods.

Keywords:
attribute discrimination indexbalance attribute coveragecognitive diagnostic computerized adaptive testingequalization of attribute correct classification rateexaminee qualification rate

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

1.1K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K

Related Experiment Videos

Last Updated: Dec 26, 2025

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

6.2K
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

1.1K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K

Area of Science:

  • Educational Measurement
  • Psychometrics
  • Computerized Adaptive Testing

Background:

  • Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) aims to accurately assess examinee mastery of specific attributes.
  • Balancing attribute coverage is crucial for effective CD-CAT, especially for short test lengths.
  • Existing methods, like the modified global discrimination index (MGDI), may not fully capture attribute information.

Purpose of the Study:

  • To introduce and evaluate a novel method for balancing attribute coverage in CD-CAT.
  • To compare the performance of the attribute discrimination index (ADI)-based method against the MGDI-based method.
  • To assess the impact of different attribute balancing strategies on classification accuracy.

Main Methods:

  • A simulation study was conducted to evaluate the proposed ADI-based method.
  • The ADI-based method was compared with the MGDI-based method and an uncontrolled attribute-balance coverage method.
  • Item selection was performed using posterior-weighted Kullback-Leibler (PWKL) and modified PWKL (MPWKL) methods.

Main Results:

  • The ADI-based method significantly improved the mastery pattern correct classification rate (PCCR) and attribute correct classification rate (ACCR) compared to the uncontrolled method.
  • Equalization of ACCR (E-ACCR) using the ADI-based method yielded superior results, followed by the MGDI-based method.
  • Both ADI-based and MGDI-based methods demonstrated acceptable examinee qualification rates, outperforming the uncontrolled condition.

Conclusions:

  • The ADI-based method offers a more effective approach to balancing attribute coverage in CD-CAT.
  • This method enhances the accuracy of attribute mastery classification in adaptive testing scenarios.
  • The findings support the use of ADI for optimizing CD-CAT design and performance evaluation.