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Related Concept Videos

General State of Stress01:21

General State of Stress

The general state of stress within a material can be accurately depicted using a stress tensor. This tensor encapsulates the internal forces distributed within a material subjected to external forces or deformations.
Specifically, consider a tetrahedral element where one face, labeled XYZ, is perpendicular to the line OA, and the remaining faces align with the coordinate axes with point O as the origin. At any point, such as point O, the stress tensor can be used to determine the stress...
Components of Stress01:23

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Stress analysis under multiple loading conditions is intricate, necessitating a comprehensive grasp of normal and shearing stresses. Consider a small cube at point O, subjected to stress on all six faces, visible or not. Normal stress components σx, σy, σz act perpendicularly to the x, y, and z axes. Shearing stress components τxy and τxz are exerted on faces perpendicular to these axes.
Interestingly, the hidden cube faces also experience these stresses, equal and opposite to those on the...

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Cross-validating a bidimensional mathematics anxiety scale.

Haiyan Bai1

  • 1Department of Educational Research, Technology, and Leadership, University of Central Florida, Orlando, FL, USA. hbai@mail.ucf.edu

Assessment
|March 10, 2010
PubMed
Summary
This summary is machine-generated.

The revised Mathematics Anxiety Scale (MAS-R) is a reliable tool for measuring math anxiety in students. Lower math anxiety correlates with higher student achievement, aiding educators in identifying at-risk students.

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Area of Science:

  • Educational Psychology
  • Psychometrics

Background:

  • Mathematics anxiety is a significant concern in secondary education.
  • Existing measurement tools may lack robust psychometric validation.

Purpose of the Study:

  • To empirically cross-validate the psychometric properties of the 14-item bidimensional Mathematics Anxiety Scale-Revised (MAS-R).
  • To assess the reliability and validity of the MAS-R for measuring mathematics anxiety in secondary school students.

Main Methods:

  • Exploratory and confirmatory factor analyses were conducted on two independent samples (N=647).
  • Psychometric properties including construct validity, model-fit, internal consistency, and test-retest reliability were evaluated.

Main Results:

  • The MAS-R demonstrated a clear two-factor structure with strong construct validity.
  • Confirmatory factor analysis indicated an excellent model-fit.
  • The scale exhibited high internal consistency (α=.85), good test-retest reliability (r=.71), and significant interfactor correlation (r=.26).
  • Mathematics anxiety measured by MAS-R negatively correlated with student achievement (r=-.38).

Conclusions:

  • The MAS-R is a psychometrically sound and reliable instrument for assessing mathematics anxiety.
  • The findings support the use of MAS-R for identifying students experiencing math anxiety that may impede academic achievement.