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

Longitudinal Studies01:26

Longitudinal Studies

373
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
373
Classification of Illness01:17

Classification of Illness

8.4K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.4K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

398
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
398
Multiple Regression01:25

Multiple Regression

3.6K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.6K
Survival Tree01:19

Survival Tree

299
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
299
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

461
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
461

You might also read

Related Articles

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

Sort by
Same author

Increased induced sputum ITGB5 expression was correlated with airway inflammation and lung function in asthma.

The Journal of asthma : official journal of the Association for the Care of Asthma·2026
Same author

Too much of a good thing: The impact of mentoring on innovation capacity among undergraduate students-Evidence from a provincial University in China.

Acta psychologica·2026
Same author

Axial Length Adjustment and AL/R Ratio Optimization of IOL Power Calculation in Extremely Long Eyes.

American journal of ophthalmology·2026
Same author

Author Correction: Structural dynamics of the midnolin-proteasome during ubiquitin-independent substrate turnover.

Nature communications·2026
Same author

Comprehensive outcomes of different prosthetic interfaces in total hip arthroplasty: A network meta-analysis and systematic review based on age and follow-up periods.

Medicine·2026
Same author

Acute Severity Versus Long-term Morbidity: Uncoupling the Roles of RSV and HRV in Childhood Respiratory Disease.

Open forum infectious diseases·2026
Same journal

Adverse and positive childhood experiences in relation to adolescent mental health: sequential indirect associations.

Frontiers in psychology·2026
Same journal

Personality profiles and usage experience are associated with trust and dependence on generative AI: a latent profile analysis.

Frontiers in psychology·2026
Same journal

Editorial: Promoting replicability: empowering method and applied researchers in driving reliable results.

Frontiers in psychology·2026
Same journal

The mediating roles of the challenge appraisal in the relationship between the coach-athlete relationship and adolescent athletes' burnout.

Frontiers in psychology·2026
Same journal

Unpacking GenAI-enabled deep learning engagement: role perceptions, human-GenAI synergy strategies, and underlying mechanisms.

Frontiers in psychology·2026
Same journal

Violence exposure and cyberbullying among Chinese adolescents: the mediating role of moral disengagement.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Dec 9, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.6K

Growth Modeling in a Diagnostic Classification Model (DCM) Framework-A Multivariate Longitudinal Diagnostic

Qianqian Pan1, Lu Qin2, Neal Kingston1

  • 1Department of Educational Psychology, The University of Kansas, Lawrence, KS, United States.

Frontiers in Psychology
|September 9, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new longitudinal cognitive diagnostic model (DCM) that accurately tracks attribute mastery over time. The model shows good performance in classification and parameter recovery, especially with more data points.

Keywords:
cognitive diagnostic assessmentdiagnostic classification modelgrowth modellongitudinal data analysismultivariate

More Related Videos

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.0K

Related Experiment Videos

Last Updated: Dec 9, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.6K
Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.0K

Area of Science:

  • Psychometrics
  • Longitudinal Data Analysis
  • Cognitive Modeling

Background:

  • Current longitudinal cognitive diagnostic models (DCMs) have limitations in handling data types and attribute growth patterns.
  • There is a need for flexible models that can assess attribute mastery and growth over time.

Purpose of the Study:

  • To develop and evaluate a novel multivariate longitudinal DCM.
  • To assess the model's ability to handle balanced and unbalanced data and measure individual attribute growth.
  • To investigate the model's performance regarding convergence, classification accuracy, and parameter recovery.

Main Methods:

  • A composite model integrating a log-linear cognitive diagnostic model (LCDM) and a generalized multivariate growth curve model was developed.
  • A simulation study was conducted manipulating sample size, growth patterns, G matrix design, and number of measurement occasions.
  • Model performance was evaluated using convergence rates, attribute mastery classification accuracy, and parameter recovery.

Main Results:

  • The proposed longitudinal DCM demonstrated good convergence rates across various conditions.
  • Attribute mastery probabilities were recovered well, with classification accuracy improving for mastered attributes and slightly decreasing for unmastered attributes as measurement occasions increased.
  • Parameter recovery for both the LCDM and the growth curve components was generally acceptable, with improvements noted for interaction effects with increased sample size and measurement occasions.

Conclusions:

  • The developed multivariate longitudinal DCM offers an improvement over existing models by accommodating diverse data structures and attribute growth patterns.
  • The model provides reliable estimates of attribute mastery and growth, demonstrating its utility in longitudinal research.
  • Further research can explore applications of this model in various educational and psychological assessments.