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Related Concept Videos

Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Scanning Electron Microscopy01:07

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

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...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Principle of Equivalence01:18

Principle of Equivalence

According to Albert Einstein (1897-1955), free-falling and feeling weightless are intrinsically linked. If a person were in free-fall under gravity, for example, diving towards the Earth from an airplane, they would feel completely weightless. Similarly, a person descending in a lift may feel partially weightless. Broadly speaking, it is assumed that an object in a uniform gravitational field and an object undergoing constant acceleration in the absence of gravity are under the same...

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In Situ Characterization of Boehmite Particles in Water Using Liquid SEM
11:59

In Situ Characterization of Boehmite Particles in Water Using Liquid SEM

Published on: September 27, 2017

SEM with simplicity and accuracy.

Peter M Bentler1

  • 1University of California, Los Angeles, USA.

Journal of Consumer Psychology : the Official Journal of the Society for Consumer Psychology
|May 11, 2010
PubMed
Summary
This summary is machine-generated.

Structural Equation Modeling (SEM) is more than just LISREL. Modern SEM allows intuitive model specification via path diagrams, offering simpler alternatives to matrix-based methods for better understanding and application.

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Area of Science:

  • Statistics
  • Psychometrics
  • Social Sciences

Background:

  • Professor Iacobucci's introduction to LISREL and Structural Equation Modeling (SEM) is noted.
  • However, SEM has evolved beyond LISREL and its matrix-focused approach.
  • Learning SEM through LISREL's matrices may not be the most accessible method.

Purpose of the Study:

  • To present a more intuitive approach to learning SEM.
  • To review the Bentler-Weeks model as a simpler alternative.
  • To discuss recent SEM developments and their practical implications.

Main Methods:

  • Review of the Bentler-Weeks model for SEM.
  • Discussion of contemporary SEM topics and recent advancements.
  • Presentation of simulation results for model fit analysis.

Main Results:

  • Modern SEM allows for model specification using path diagrams, bypassing complex matrix element input.
  • Simulation results align with statistical theory, offering insights into model fit.
  • Findings may contrast with previously reported results by Iacobucci.

Conclusions:

  • SEM is a broad field, not limited to LISREL.
  • Path diagram-based model specification offers a more user-friendly learning curve for SEM.
  • Contemporary SEM methods and simulation studies provide valuable insights into statistical modeling.