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

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

357
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
357
Multiple Regression01:25

Multiple Regression

3.0K
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...
3.0K
Response Surface Methodology01:16

Response Surface Methodology

141
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
141
Goodness-of-Fit Test01:16

Goodness-of-Fit Test

3.4K
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...
3.4K
Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

3.2K
Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
3.2K
McNemar's Test01:23

McNemar's Test

263
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
263

You might also read

Related Articles

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

Sort by
Same author

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models.

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

Semi-Parametric Item Response Theory With O'Sullivan Splines for Item Responses and Response Time.

Applied psychological measurement·2025
Same author

Erratum: A Constrained Metropolis-Hastings Robbins-Monro Algorithm for Q Matrix Estimation in DINA Models.

Psychometrika·2024
Same author

Online Parameter Estimation for Student Evaluation of Teaching.

Applied psychological measurement·2023
Same author

Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models.

Applied psychological measurement·2022
Same author

Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data.

Applied psychological measurement·2021
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
Same journal

Psychometric functions from multiple responses : Dedicated to the memory of Colin L. Mallows.

Behavior research methods·2026
Same journal

Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.

Behavior research methods·2026
Same journal

PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.

Behavior research methods·2026
Same journal

Talking surveys: How photorealistic embodied conversational agents shape response quality, engagement, and satisfaction.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Jul 10, 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

5.8K

Multidimensional item response theory models for testlet-based doubly bounded data.

Chen-Wei Liu1

  • 1Department of Educational Psychology and Counseling, National Taiwan Normal University, Taipei, Taiwan. cwliu@ntnu.edu.tw.

Behavior Research Methods
|November 20, 2023
PubMed
Summary
This summary is machine-generated.

A novel beta copula model offers a superior statistical approach for analyzing testlet-based visual analogue scale (VAS) data, outperforming traditional methods in career interest assessments.

Keywords:
Item response theoryVisual analogue scale

More Related Videos

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

2.5K
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

792

Related Experiment Videos

Last Updated: Jul 10, 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

5.8K
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

2.5K
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

792

Area of Science:

  • Psychometrics
  • Statistical Modeling
  • Item Response Theory

Background:

  • Testlet-based visual analogue scales (VAS) are effective for measuring attitudes and interests.
  • Existing statistical models for VAS data analysis are underdeveloped.
  • VAS scales offer advantages over Likert scales, including reduced response style effects.

Purpose of the Study:

  • To propose and evaluate novel statistical models for analyzing testlet-based VAS data.
  • To introduce a beta copula model and a logit-normal model within an item response theory framework.
  • To address the lag in statistical methodology for complex VAS designs.

Main Methods:

  • Development of a beta copula model and a competing logit-normal model.
  • Application of Bayesian parameter estimation, model comparison, and goodness-of-fit statistics.
  • Analysis of an empirical career interest dataset and simulation studies for parameter recovery.

Main Results:

  • The beta copula model demonstrated a superior fit for the empirical career interest data.
  • Simulation studies indicated good parameter recovery for the beta copula model.
  • The proposed models were assessed within the item response theory framework.

Conclusions:

  • The beta copula model is a promising statistical approach for analyzing testlet-based doubly bounded responses.
  • The developed models advance the statistical analysis of complex VAS data.
  • The findings support the utility of the beta copula model in psychometric research.