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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

47
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
47
Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.0K
Typical Model Studies01:30

Typical Model Studies

354
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
354
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

177
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
177
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

449
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...
449
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

35
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...
35

You might also read

Related Articles

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

Sort by
Same author

[Odontogenic Keratocyst in the Anterior Maxilla: A Case Report].

Swiss dental journal·2026
Same author

[Multiple root resorptions with ankylosis].

Swiss dental journal·2026
Same author

A Central Giant Cell Granuloma: A case report

Swiss dental journal·2025
Same author

Use of neural networks to predict a potential osteoporotic metabolic condition based on the panoramic mandibular index.

Oral surgery, oral medicine, oral pathology and oral radiology·2025
Same author

Estimating the modulation transfer function at natural structures in clinical CBCT images using the edge technique.

Dento maxillo facial radiology·2025
Same author

Correction: Influence of patient motion on definition of typical cephalometric reference points in digital horizontally scanning cephalometric radiography.

Head & face medicine·2025
Same journal

A Simple Approach for Differential Test Functioning Based on Sum Scores.

Educational and psychological measurement·2026
Same journal

Evaluating Factor Retention in Large Factor Analysis Models: A Simulation Study Comparing 15 Methods.

Educational and psychological measurement·2026
Same journal

Agreement and Alignment in Binary Rating Tasks: Strategic Convergence as an Equilibrium Outcome.

Educational and psychological measurement·2026
Same journal

Interactions Between Termination Criteria and Ability Estimators in Computerized Adaptive Testing.

Educational and psychological measurement·2026
Same journal

Identification and Diagnosis of Misreporting in Surveys.

Educational and psychological measurement·2026
Same journal

The Aggregated Latent Profile Index: Measuring Person Profile Differentiation Within a Bootstrap-Validated Latent Profile Space.

Educational and psychological measurement·2026
See all related articles

Related Experiment Video

Updated: Jun 19, 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

2.5K

Linear Factor Analytic Thurstonian Forced-Choice Models: Current Status and Issues.

Markus T Jansen1, Ralf Schulze1

  • 1University of Wuppertal, Germany.

Educational and Psychological Measurement
|July 26, 2024
PubMed
Summary
This summary is machine-generated.

Thurstonian forced-choice modeling offers a new way to assess traits, but using item blocks in multidimensional forced-choice (MFC) models can lead to biased results. This study reviews these models and highlights issues with block presentations that may counteract their intended benefits.

Keywords:
Thurstonian modelingforced-choice formatitem response theorystructural equation modeling

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.9K
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

6.9K

Related Experiment Videos

Last Updated: Jun 19, 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

2.5K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.9K
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

6.9K

Area of Science:

  • Psychometrics
  • Psychological Measurement

Background:

  • Thurstonian forced-choice (TFC) models are advanced tools for estimating item and person parameters, offering improved model fit and reduced response biases compared to traditional self-report methods.
  • Recent developments allow for normative trait score estimation, enabling inter-individual comparisons previously unavailable with forced-choice procedures.
  • Item response theory (IRT) has been applied to multidimensional forced-choice (MFC) formats for individual scoring, often simplifying models by presenting items in blocks.

Purpose of the Study:

  • To provide a comprehensive review of current Thurstonian forced-choice models and their variations.
  • To identify and critically discuss key features of existing models, with a focus on block-based approaches.
  • To evaluate the problematic aspects and potential biases arising from MFC modeling with item blocks.

Main Methods:

  • Comprehensive literature review of Thurstonian forced-choice models and their variants.
  • Critical analysis of current MFC models, particularly those employing item blocks.
  • Discussion of methodological issues and their implications for trait assessment.

Main Results:

  • Multidimensional forced-choice (MFC) modeling using item blocks is identified as highly problematic and prone to yielding biased results.
  • The common practice of presenting blocks with items keyed in different directions of a trait is found to be counterproductive.
  • The identified issues can undermine the goal of reducing response tendencies in trait assessments.

Conclusions:

  • Current MFC modeling approaches that utilize item blocks are problematic and can lead to biased trait score estimations.
  • The effectiveness of TFC models in reducing response tendencies is compromised by specific block presentation strategies.
  • Further research and model refinement are needed to address the identified biases and improve the accuracy of forced-choice assessments.