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

Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.2K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.2K
Multiple Allele Traits01:49

Multiple Allele Traits

38.4K
The Concept of Multiple Allelism
38.4K
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

9.3K
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
9.3K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.3K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.3K
Multiple Regression01:25

Multiple Regression

4.2K
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...
4.2K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

8.7K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
8.7K

You might also read

Related Articles

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

Sort by
Same author

The Improved EMS Algorithm for Latent Variable Selection in M3PL Model.

Applied psychological measurement·2024
Same author

Bayesian Adaptive Lasso for Detecting Item-Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models.

Psychometrika·2024
Same author

Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models.

PloS one·2023
Same author

Latent variable sdelection in multidimensional item response theory models using the expectation model selection algorithm.

The British journal of mathematical and statistical psychology·2021
Same author

Bounds on the average causal effects in randomized trials with noncompliance by covariate adjustment.

Biometrical journal. Biometrische Zeitschrift·2016

Related Experiment Video

Updated: Feb 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K

Bayesian Adaptive Lasso for Detecting Item-Trait Relationship and Differential Item Functioning in Multidimensional

Na Shan1, Ping-Feng Xu1,2

  • 1Northeast Normal University.

Psychometrika
|February 25, 2026
PubMed
Summary

This study introduces a unified framework to simultaneously detect item-trait relationships and differential item functioning (DIF) in multidimensional item response theory (MIRT) models. The Bayesian adaptive Lasso method efficiently identifies these key psychometric properties.

Keywords:
Bayesian adaptive Lassodifferential item functioningitem–trait relationshipmultidimensional item response theory modelregularization

More Related Videos

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

6.3K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K

Related Experiment Videos

Last Updated: Feb 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K
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

6.3K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

14.2K

Area of Science:

  • Psychometrics
  • Statistical Modeling
  • Educational Measurement

Background:

  • Accurate measurement of latent traits is essential in multidimensional tests.
  • Differential item functioning (DIF) analysis is critical for ensuring fairness and validity across different groups.
  • Existing literature often addresses item-trait relationships and DIF separately, limiting a comprehensive understanding.

Purpose of the Study:

  • To develop a unified framework for simultaneously identifying item-trait relationships and DIF within multidimensional item response theory (MIRT) models.
  • To integrate DIF effects into MIRT models, treating the problem as a variable selection task for latent/observed variables and their interactions.
  • To provide a robust statistical method for analyzing complex psychometric data.

Main Methods:

  • Development of a Bayesian adaptive Lasso procedure for simultaneous variable selection.
  • Incorporation of DIF effects directly within the MIRT framework.
  • Utilizing simulation studies to evaluate the proposed method's performance.

Main Results:

  • The proposed Bayesian adaptive Lasso method effectively estimates parameters, recovers item-trait relationships, and detects DIF effects.
  • Simulation studies demonstrate the method's accuracy and reliability in identifying both item-trait associations and DIF.
  • The unified framework successfully addresses the simultaneous detection of these psychometric properties.

Conclusions:

  • The developed unified framework offers a powerful approach for analyzing item-trait relationships and DIF concurrently in MIRT.
  • The Bayesian adaptive Lasso procedure provides an efficient and accurate tool for psychometricians and researchers.
  • This method enhances the validity and interpretability of multidimensional assessment data, as demonstrated by the Eysenck Personality Questionnaire application.