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

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

91
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
91
Distributed Loads01:19

Distributed Loads

491
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
491
Resultant of a General Distributed Loading01:13

Resultant of a General Distributed Loading

622
While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
Examples such as load distribution due to wind and load distribution on a bridge illustrate how this concept is used to analyze and design safe, reliable structures under variable loading conditions. Most structures, such as residential buildings, bridges, and towers, are...
622
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

613
The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
613
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

609
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
609
Cable Subjected to Concentrated Loads01:28

Cable Subjected to Concentrated Loads

762
Flexible cables are commonly used in various applications for support and load transmission. Consider a cable fixed at two points and subjected to multiple vertically concentrated loads. Determine the shape of the cable and the tension in each portion of the cable, given the horizontal distances between the loads and supports.
762

You might also read

Related Articles

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

Sort by
Same author

Autonomy and Relatedness in Mother-Adolescent Interactions: An Investigation Using Exploratory Graph Analysis.

Family process·2026
Same author

Dynamic network models reveal personalized patterns of well-being in young adult daily lives.

Scientific reports·2025
Same author

Developmental changes in youth affect: A within-person approach.

Emotion (Washington, D.C.)·2025
Same author

Dimensionality Assessment in Forced-Choice Questionnaires: First Steps Toward an Exploratory Framework.

Educational and psychological measurement·2025
Same author

A Systematic Evaluation of Wording Effects Modeling Under the Exploratory Structural Equation Modeling Framework.

Multivariate behavioral research·2025
Same author

Remote Caries Assessment With CariesCare International: Accuracy of Smartphone and Professional Camera Images.

Community dentistry and oral epidemiology·2025
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: May 22, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

967

Revised network loadings.

Alexander P Christensen1, Hudson Golino2, Francisco J Abad3

  • 1Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, 37203, USA. alexander.christensen@vanderbilt.edu.

Behavior Research Methods
|March 15, 2025
PubMed
Summary
This summary is machine-generated.

Revised network loadings improve psychometric assessment by offering a more accurate metric than original network loadings. These new loadings simplify analysis by removing the need for rotation in factor analysis.

Keywords:
LoadingsNetwork analysisPsychometrics

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

472

Related Experiment Videos

Last Updated: May 22, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

967
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

472

Area of Science:

  • Psychometrics
  • Network Science
  • Statistical Modeling

Background:

  • Psychometric assessment relies on accurate measurement, with factor loadings crucial in factor models.
  • Network psychometrics introduced network loadings to evaluate measurement quality in network models.
  • Original network loadings did not account for properties of partial correlation networks.

Purpose of the Study:

  • To refine network loadings to better reflect properties of partial correlation networks.
  • To evaluate the performance of revised network loadings against simulated factor loadings.
  • To assess the ability of network loadings to capture factor correlations without rotation.

Main Methods:

  • A simulation study was conducted to compare revised and original network loadings.
  • The study analyzed the congruence between network loadings and simulated factor loadings.
  • Network scores derived from revised loadings were evaluated for their ability to estimate factor correlations.

Main Results:

  • Revised network loadings showed greater congruence with simulated factor loadings than original formulations.
  • Network scores estimated using revised loadings accurately captured simulated correlations between factors.
  • Rotation was not required for network scores, reducing analytic complexity.

Conclusions:

  • Revised network loadings offer a more robust and accurate psychometric metric.
  • The revised loadings simplify factor analysis by eliminating the need for rotation.
  • These advancements contribute to network theory of measurement and psychometric assessment.