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

Block Diagram Reduction01:22

Block Diagram Reduction

243
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
243
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.3K
Elements of Block Diagrams01:25

Elements of Block Diagrams

306
Block diagrams serve as a visual representation of the input-output relationships within a system. An illustrative example is a heating system, where the set temperature activates the furnace to warm the room to the desired level. Block diagrams are versatile, modeling linear systems through Laplace transform variables and nonlinear systems using time domain variables.
A block diagram typically includes essential elements such as comparators, blocks, and feedback loops. Each of these elements...
306
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

419
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
419
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

176
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
176
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

474
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
474

You might also read

Related Articles

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

Sort by
Same author

Bayesian Thurstonian IRT Modeling: Logical Dependencies as an Accurate Reflection of Thurstone's Law of Comparative Judgment.

Educational and psychological measurement·2025
Same author

Detecting Careless Responding in Multidimensional Forced-Choice Questionnaires.

Educational and psychological measurement·2024
Same author

Beta-binomial meta-analysis of individual differences based on sample means and standard deviations: Studying reliability of sum scores of binary items.

Psychological methods·2024
Same author

Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model.

Psychometrika·2021
Same author

Investigating the Normativity of Trait Estimates from Multidimensional Forced-Choice Data.

Multivariate behavioral research·2021

Related Experiment Video

Updated: Jul 17, 2025

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

16.8K

Estimating and Using Block Information in the Thurstonian IRT Model.

Susanne Frick1,2

  • 1University of Mannheim, Mannheim, Germany. frick@statistik.tu-dortmund.de.

Psychometrika
|August 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces block information estimation for Thurstonian item response models (Thurstonian IRT) in multidimensional forced-choice (MFC) tests. Block information improves the construction of reliable MFC tests by accounting for dependencies.

Keywords:
Thurstonian IRT modelautomated test assemblyinformationmultidimensional forced-choicestandard errors

More Related Videos

Block Building Task Identifies Distinct Groups of Left/Right-hand Choice Patterns After Unilateral Peripheral Nerve Injury
07:06

Block Building Task Identifies Distinct Groups of Left/Right-hand Choice Patterns After Unilateral Peripheral Nerve Injury

Published on: March 21, 2025

607
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Related Experiment Videos

Last Updated: Jul 17, 2025

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

16.8K
Block Building Task Identifies Distinct Groups of Left/Right-hand Choice Patterns After Unilateral Peripheral Nerve Injury
07:06

Block Building Task Identifies Distinct Groups of Left/Right-hand Choice Patterns After Unilateral Peripheral Nerve Injury

Published on: March 21, 2025

607
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Area of Science:

  • Psychometrics
  • Statistical Modeling
  • Educational Measurement

Background:

  • Multidimensional forced-choice (MFC) tests are increasingly popular but complex to construct.
  • The Thurstonian item response model (Thurstonian IRT) is commonly used for scoring MFC tests with dominance items.
  • Current frequentist approaches for Thurstonian IRT scoring neglect stochastic dependencies in pairwise comparisons.

Purpose of the Study:

  • To develop a method for estimating Fisher information at the block level within the Thurstonian IRT model.
  • To investigate the accuracy of standard errors using block information compared to traditional methods.
  • To demonstrate how multidimensional block information can be summarized to aid MFC test construction.

Main Methods:

  • Estimation of Fisher information on the block level for Thurstonian IRT models.
  • Simulation studies to compare observed and expected standard errors based on block information.
  • Analysis of the impact of neglecting local dependencies on standard error estimates.
  • Summarization of multidimensional block information for practical test construction.

Main Results:

  • Observed and expected standard errors based on block information showed similar accuracy.
  • Neglecting local dependencies led to underestimated standard errors, except when using the maximum a posteriori estimator.
  • Block information summaries exhibited small differences based on the outcome considered in simulation and empirical applications.

Conclusions:

  • Estimating Fisher information at the block level provides an accurate method for scoring MFC tests.
  • Block information accounting for dependencies aids in constructing more reliable MFC tests.
  • The proposed method offers a valuable tool for psychometricians and test developers.