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

Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

409
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:...
409
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

351
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
351
Modeling in Therapy01:26

Modeling in Therapy

336
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
336
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

210
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
210
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

208
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
208
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.6K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.6K

You might also read

Related Articles

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

Sort by
Same author

Revisiting reliability and measurement precision: Towards a unified perspective.

The British journal of mathematical and statistical psychology·2026
Same author

A cognitive diagnosis model for latent classification of bounded continuous variables.

The British journal of mathematical and statistical psychology·2026
Same author

A general diagnostic modelling framework for forced-choice assessments.

The British journal of mathematical and statistical psychology·2025
Same author

A dual process item response theory model for polytomous multidimensional forced-choice items.

The British journal of mathematical and statistical psychology·2023
Same author

Improving reliability estimation in cognitive diagnosis modeling.

Behavior research methods·2022
Same author

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis.

Psychometrika·2022

Related Experiment Video

Updated: Dec 30, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K

Estimation approaches in cognitive diagnosis modeling when attributes are hierarchically structured.

Lokman Akbay1, Jimmy de la Torre

  • 1Burdur Mehmet Akif Ersoy University.

Psicothema
|January 20, 2020
PubMed
Summary

Cognitive diagnosis models (CDMs) can produce biased estimates when attribute hierarchies are ignored. This study shows that Q-matrix type significantly impacts CDM estimation, particularly for the G-DINA model, improving accuracy and classification.

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
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.6K

Related Experiment Videos

Last Updated: Dec 30, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.9K
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
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.6K

Area of Science:

  • Cognitive psychology
  • Educational measurement
  • Psychometrics

Background:

  • Cognitive psychology research advises against isolated skill investigation.
  • Many cognitive diagnosis models (CDMs) neglect hierarchical attribute structures, potentially biasing estimates.

Purpose of the Study:

  • To examine the impact of different Maximum Likelihood Estimation-Expectation Maximization (MMLE-EM) approaches on item and person parameter estimates within CDMs.
  • To investigate the influence of hierarchical attribute structures on G-DINA, DINA, and DINO models.
  • To propose and evaluate novel estimation approaches by modifying Q-matrices and prior distributions.

Main Methods:

  • Simulation and real data analyses were employed.
  • The study compared various MMLE-EM approaches, including modifications to the Q-matrix (explicit vs. implicit) and prior distributions.
  • The impact on item parameter estimation accuracy and attribute classification rates was assessed.

Main Results:

  • For the G-DINA model, explicit Q-matrices yielded superior item parameter recovery and classification accuracy compared to implicit Q-matrices.
  • Structuring the prior distribution had a greater influence on item and person parameter estimates for reduced models (DINA, DINO).
  • For DINA and DINO models, structuring the prior distribution diminished the impact of Q-matrix type on parameter estimates.

Conclusions:

  • Q-matrix type significantly influences CDM estimation, especially for the G-DINA model.
  • The choice of estimation approach, including Q-matrix specification and prior distribution structuring, is crucial for accurate CDM results.
  • Findings highlight the importance of considering attribute hierarchies in cognitive diagnosis modeling.