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

Five-Factor Theory of Personality01:29

Five-Factor Theory of Personality

2.0K
The five-factor model, often called the Big Five personality traits, is widely accepted in psychology as a comprehensive framework for understanding personality. These five traits — Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism — are often remembered using the acronym OCEAN.
Openness reflects creativity, curiosity, and openness to new experiences. Individuals scoring high in openness are imaginative, have a wide range of interests, and are independent...
2.0K
Cattell's 16 Personality Factors01:24

Cattell's 16 Personality Factors

2.6K
Raymond Cattell's trait theory offers a structured framework for understanding personality by distinguishing between two critical traits: surface and source traits. Surface traits are observable patterns of behavior, such as indecisiveness, anxiety, and irrational fears. These traits are less stable, varying across situations and over time. This means that they are less helpful in understanding the deeper aspects of an individual's personality.
In contrast, source traits are the...
2.6K
Factors Influencing Attraction VI: Personality Traits01:23

Factors Influencing Attraction VI: Personality Traits

251
Personality traits are fundamental in shaping social perception and influencing interpersonal relationships. Certain traits, such as agreeableness and extraversion, contribute positively to social interactions, whereas others, such as narcissism, have complex and often contradictory effects on how individuals are perceived over time.The Role of Agreeableness and ExtraversionAgreeableness and extraversion are associated with higher levels of interpersonal attractiveness and likability.
251
Transcription Factors02:16

Transcription Factors

82.9K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.9K
Factors Affecting Solubility04:01

Factors Affecting Solubility

37.3K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
37.3K
Transcription Elongation Factors02:35

Transcription Elongation Factors

14.1K
Transcription elongation is a dynamic process that alters depending upon the sequence heterogeneity of the DNA being transcribed. Hence, it is not surprising that the elongation complex's composition also varies along the way while transcribing a gene.
The transcription elongation is regulated via pausing of RNA polymerase on several occasions during transcription. In bacteria, these halts are necessary because the transcription of DNA into mRNA is coupled to the translation of that mRNA...
14.1K

You might also read

Related Articles

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

Sort by
Same authorSame journal

Testing linear hypotheses in repeated measures generalized linear models using external information.

Psychometrika·2026
Same author

Data of the Swiss common breeding bird monitoring program.

Ecology·2025
Same author

Coordinated Role of Autophagy and ERAD in Maintaining Neuroendocrine Function by Preventing Prohormone Aggregation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Using External Information for More Precise Inferences in General Regression Models.

Psychometrika·2024
Same author

In models we trust: preregistration, large samples, and replication may not suffice.

Frontiers in psychology·2023
Same author

Arf1 coordinates fatty acid metabolism and mitochondrial homeostasis.

Nature cell biology·2023
Same journal

When Do Unifactorial Items Increase the Reliability?

Psychometrika·2026
Same journal

Longitudinal Designs for Diagnostic Models: Identification and Estimation.

Psychometrika·2026
Same journal

Modeling Rare Events and Nonmonotone Nonignorable Missingness of Time-Varying Outcomes and Predictors in Binary Time-Series Daily Diary Data: A Bayesian Selection Model.

Psychometrika·2026
Same journal

Revelle's Beta: The Wait Is Over-Computation Becomes Possible.

Psychometrika·2026
Same journal

On dimensional implication graphs.

Psychometrika·2026
See all related articles

Related Experiment Video

Updated: Feb 12, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

528

On Fair Person Classification Based on Efficient Factor Score Estimates in the Multidimensional Factor Analysis

Pascal Jordan1, Martin Spiess2

  • 1University of Hamburg, Von-Melle-Park 5, 20146, Hamburg, Germany. pascal.jordan@uni-hamburg.de.

Psychometrika
|April 14, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a fair, multidimensional scoring method for latent variable models to prevent unfair classifications. The new approach uses linear programming and is demonstrated with the Wechsler Adult Intelligence Scale (WAIS-IV).

Keywords:
bifactor modelconvex programsfactor scoresfairnessparadoxical results

More Related Videos

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

967
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

9.0K

Related Experiment Videos

Last Updated: Feb 12, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

528
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

967
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
07:23

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome

Published on: June 15, 2016

9.0K

Area of Science:

  • Psychometrics
  • Statistical Modeling
  • Psychological Assessment

Background:

  • Multidimensional latent variable models can lead to unfair classifications due to paradoxical scoring effects, as identified by Hooker, Finkelman, and Schwartzman (2009).
  • Existing scoring schemes may not adequately address fairness in multidimensional contexts.

Purpose of the Study:

  • To address the open question of whether a fair and statistically sound multidimensional scoring scheme exists.
  • To develop and demonstrate a novel method for fair multidimensional classification.

Main Methods:

  • Development of a theorem proving the existence of a fair, multidimensional classification scheme within the classical linear factor analysis model.
  • Embedding the computation of the scoring scheme within a linear programming framework.
  • Illustration of the procedure using the Wechsler Adult Intelligence Scale (WAIS-IV).

Main Results:

  • A theorem establishing the existence of a fair, multidimensional classification scheme is presented.
  • A computational method for this scheme, utilizing linear programming, is demonstrated.

Conclusions:

  • The study provides a theoretical and practical solution for achieving fair multidimensional classifications in psychometric models.
  • The proposed method offers improved statistical properties for person parameter estimation and classification.
  • The application to the WAIS-IV demonstrates the practical utility of the developed scoring scheme.