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

Stability of structures01:14

Stability of structures

598
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
598
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

1.2K
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
1.2K
Stability01:28

Stability

475
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
475
Reliability and Validity01:29

Reliability and Validity

14.4K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.4K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

948
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
948
Multimachine Stability01:25

Multimachine Stability

622
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
622

You might also read

Related Articles

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

Sort by
Same author

Multivariate Structural Modeling of Plasticity in Fluid Intelligence of Aged Adults.

Multivariate behavioral research·2016
Same author

Equivalent Structural Equation Models and Group Equality Constraints.

Multivariate behavioral research·2016
Same author

Satisfying a Simplex Structure is Simpler Than it Should Be: A Latent Curve Analysis Revisit.

Multivariate behavioral research·2016
Same author

Scale Reliability, Cronbach's Coefficient Alpha, and Violations of Essential Tau-Equivalence with Fixed Congeneric Components.

Multivariate behavioral research·2016
Same author

On Structural Equation Model Equivalence.

Multivariate behavioral research·2016
Same author

Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints.

The British journal of mathematical and statistical psychology·2002

Related Experiment Video

Updated: Mar 27, 2026

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.6K

A Method for Examining Stability in Reliability.

T Raykov

    Multivariate Behavioral Research
    |January 9, 2016
    PubMed
    Summary

    This study introduces a correlation structure modeling method to assess the reliability and stability of repeated measures. The approach allows for examining parameter relationships across variables using a uniform metric.

    Area of Science:

    • Psychometrics
    • Cognitive Psychology
    • Statistical Modeling

    Background:

    • Assessing the reliability and stability of repeated measures is crucial in longitudinal studies.
    • Existing methods may not adequately capture complex relationships between parameters across variables.
    • A uniform metric is needed for cross-variable comparisons in reliability analysis.

    Purpose of the Study:

    • To outline a correlation structure modeling approach for studying the stability of multiple, repeatedly administered measures.
    • To demonstrate the method's applicability in examining relationships between model parameters in a uniform metric.
    • To illustrate the approach using empirical data from a fluid intelligence study.

    Main Methods:

    • Correlation structure modeling

    More Related Videos

    Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
    20:24

    Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

    Published on: January 31, 2014

    17.3K
    Measurement of Spatial Stability in Precision Grip
    09:36

    Measurement of Spatial Stability in Precision Grip

    Published on: June 4, 2020

    3.6K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
    09:18

    Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

    Published on: December 15, 2023

    3.6K
    Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
    20:24

    Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

    Published on: January 31, 2014

    17.3K
    Measurement of Spatial Stability in Precision Grip
    09:36

    Measurement of Spatial Stability in Precision Grip

    Published on: June 4, 2020

    3.6K
  • Multivariate statistical analysis
  • Longitudinal data analysis

    • Main Results:

    • The proposed correlation structure modeling approach effectively assesses the stability of repeated measures.
    • The method facilitates the examination of parameter relationships in a uniform metric across different variables.
    • Application to fluid intelligence data demonstrated the practical utility of the approach.

    Conclusions:

    • Correlation structure modeling offers a robust framework for evaluating the reliability and stability of repeated measures.
    • This approach enhances the ability to compare parameter estimates across variables within a unified framework.
    • The method provides valuable insights into the structure of measurement stability in psychological research.