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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

837
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
837
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.1K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.5K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.5K
Transformation of Plane Stress01:18

Transformation of Plane Stress

850
Studying stress transformation is essential in understanding how stress components within a material, like a cube under plane stress, change with rotation. This change is analyzed by considering a prismatic element within the cube. As the element rotates, the stress components acting on it—both normal and shearing stresses—change in magnitude and orientation. This change is quantified using trigonometric functions of the rotation angle, relating the forces acting on the rotated element's...
850
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

722
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
722
Principal Moments of Area01:14

Principal Moments of Area

1.9K
In mechanics, the product of inertia and moments of inertia of area help to calculate the stability and performance of various structures and components. The coordinate transformation relations are used to calculate the moments and products of inertia for an area about the inclined axes. Further, the moments and products of inertia with respect to the principal axes can be determined using the moments and products of inertia about the inclined axes.
The principal moment of inertia axes are the...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Age-Related Changes in Auditory Abilities and in a Competing Task.

Multivariate behavioral research·2016
Same author

Biological versus psychometric intelligence: Halstead's (1947) distinction revisited.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists·2003
Same author

Emotional intelligence: in search of an elusive construct.

Journal of personality and social psychology·1998
Same author

Primary aging, secondary aging, and intelligence.

Psychology and aging·1993
Same author

Aging, attention, and intelligence.

Psychology and aging·1988
Same author

Human abilities revealed through auditory tests.

Journal of educational psychology·1980

Related Experiment Video

Updated: Mar 26, 2026

Quantification of Orofacial Phenotypes in Xenopus
09:26

Quantification of Orofacial Phenotypes in Xenopus

Published on: November 6, 2014

10.3K

Hierarchical Factoring Based On Image Analysis And Orthoblique Rotations.

L Stankov

    Multivariate Behavioral Research
    |January 30, 2016
    PubMed
    Summary
    This summary is machine-generated.

    The Schmid and Leiman hierarchical factoring procedure, when used with image analysis and orthoblique rotations, results in correlated higher-order factors. This method can also yield fewer factors than standard hierarchical techniques.

    More Related Videos

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    43.8K
    Generating Strictly Controlled Stimuli for Figure Recognition Experiments
    05:39

    Generating Strictly Controlled Stimuli for Figure Recognition Experiments

    Published on: March 18, 2019

    5.6K

    Related Experiment Videos

    Last Updated: Mar 26, 2026

    Quantification of Orofacial Phenotypes in Xenopus
    09:26

    Quantification of Orofacial Phenotypes in Xenopus

    Published on: November 6, 2014

    10.3K
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    43.8K
    Generating Strictly Controlled Stimuli for Figure Recognition Experiments
    05:39

    Generating Strictly Controlled Stimuli for Figure Recognition Experiments

    Published on: March 18, 2019

    5.6K

    Area of Science:

    • Psychometrics
    • Statistical Analysis
    • Factor Analysis

    Background:

    • The Schmid and Leiman (1957) procedure is a foundational method for hierarchical factor analysis.
    • Hierarchical factoring aims to uncover latent structures at multiple levels.
    • Traditional applications often assume orthogonal higher-order factors.

    Purpose of the Study:

    • To investigate the application of the Schmid and Leiman procedure within image analysis and orthoblique rotation frameworks.
    • To determine the nature of higher-order factors produced by this specific methodological combination.
    • To compare the number of factors obtained with typical hierarchical procedures.

    Main Methods:

    • Application of the Schmid and Leiman hierarchical factoring procedure.
    • Utilizing image analysis techniques.
    • Employing orthoblique rotational procedures.

    Main Results:

    • The application of the Schmid and Leiman procedure within the specified frameworks necessarily results in correlated higher-order factors.
    • Fewer factors were obtained compared to standard hierarchical factoring methods.
    • This indicates a potential for more parsimonious solutions.

    Conclusions:

    • The combination of Schmid and Leiman factoring with image analysis and orthoblique rotations leads to correlated higher-order factors.
    • This approach offers a method for achieving a reduced number of factors in hierarchical analyses.
    • Researchers should consider this method for exploring complex latent structures and achieving factor parsimony.