Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students

Gabriel Gastélum Cuadras; Alejandro Chávez Guerrero; Judith Margarita Rodríguez-Villalobos; Jeanette López Walle; Isabel Castillo Fernández

doi:doi:10.11648/j.sjph.20140203.24

Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students

Gabriel Gastélum Cuadras, Alejandro Chávez Guerrero, Judith Margarita Rodríguez-Villalobos, Jeanette López Walle, Isabel Castillo Fernández

Published in Science Journal of Public Health (Volume 2, Issue 3)

Received: 22 April 2014 Accepted: 15 May 2014 Published: 30 May 2014

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Abstract

This present study analyses the psychometric properties of BIAS (Body Image Anxiety Scale) testing, trait version, in engineering and social sciences students. A total sample of 918 participants; 460 from engineering and 458 from social sciences, with an average age of 18.27 years (DE = 0.70) and 18.13 years (DE = 0.74) respectively. Exploratory and confirmatory factorial analysis showed that a bi-factorial structure is feasible and convenient for both populations (engineering and social sciences) according to the established psychometric requirements because the students are the ones who provided the information. Furthermore the factorial structure, factorial loads and the intercepts are considered invariant in the engineering and social sciences areas; however there are differences in the mean of both factors among the two populations.

Published in	Science Journal of Public Health (Volume 2, Issue 3)
DOI	10.11648/j.sjph.20140203.24
Page(s)	223-228
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Anxiety, Factorial Structure, Invariance of Measure, Confirmatory Multi-Sample Factorial Analysis

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APA Style

Gabriel Gastélum Cuadras, Alejandro Chávez Guerrero, Judith Margarita Rodríguez-Villalobos, Jeanette López Walle, Isabel Castillo Fernández. (2014). Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Science Journal of Public Health, 2(3), 223-228. https://doi.org/10.11648/j.sjph.20140203.24

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ACS Style

Gabriel Gastélum Cuadras; Alejandro Chávez Guerrero; Judith Margarita Rodríguez-Villalobos; Jeanette López Walle; Isabel Castillo Fernández. Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Sci. J. Public Health 2014, 2(3), 223-228. doi: 10.11648/j.sjph.20140203.24

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AMA Style

Gabriel Gastélum Cuadras, Alejandro Chávez Guerrero, Judith Margarita Rodríguez-Villalobos, Jeanette López Walle, Isabel Castillo Fernández. Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Sci J Public Health. 2014;2(3):223-228. doi: 10.11648/j.sjph.20140203.24

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@article{10.11648/j.sjph.20140203.24,
  author = {Gabriel Gastélum Cuadras and Alejandro Chávez Guerrero and Judith Margarita Rodríguez-Villalobos and Jeanette López Walle and Isabel Castillo Fernández},
  title = {Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students},
  journal = {Science Journal of Public Health},
  volume = {2},
  number = {3},
  pages = {223-228},
  doi = {10.11648/j.sjph.20140203.24},
  url = {https://doi.org/10.11648/j.sjph.20140203.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20140203.24},
  abstract = {This present study analyses the psychometric properties of BIAS (Body Image Anxiety Scale) testing, trait version, in engineering and social sciences students. A total sample of 918 participants; 460 from engineering and 458 from social sciences, with an average age of 18.27 years (DE = 0.70) and 18.13 years (DE = 0.74) respectively. Exploratory and confirmatory factorial analysis showed that a bi-factorial structure is feasible and convenient for both populations (engineering and social sciences) according to the established psychometric requirements because the students are the ones who provided the information. Furthermore the factorial structure, factorial loads and the intercepts are considered invariant in the engineering and social sciences areas; however there are differences in the mean of both factors among the two populations.},
 year = {2014}
}

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TY  - JOUR
T1  - Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students
AU  - Gabriel Gastélum Cuadras
AU  - Alejandro Chávez Guerrero
AU  - Judith Margarita Rodríguez-Villalobos
AU  - Jeanette López Walle
AU  - Isabel Castillo Fernández
Y1  - 2014/05/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjph.20140203.24
DO  - 10.11648/j.sjph.20140203.24
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 223
EP  - 228
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20140203.24
AB  - This present study analyses the psychometric properties of BIAS (Body Image Anxiety Scale) testing, trait version, in engineering and social sciences students. A total sample of 918 participants; 460 from engineering and 458 from social sciences, with an average age of 18.27 years (DE = 0.70) and 18.13 years (DE = 0.74) respectively. Exploratory and confirmatory factorial analysis showed that a bi-factorial structure is feasible and convenient for both populations (engineering and social sciences) according to the established psychometric requirements because the students are the ones who provided the information. Furthermore the factorial structure, factorial loads and the intercepts are considered invariant in the engineering and social sciences areas; however there are differences in the mean of both factors among the two populations.
VL  - 2
IS  - 3
ER  -

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Author Information

Gabriel Gastélum Cuadras

Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México
Alejandro Chávez Guerrero

Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México
Judith Margarita Rodríguez-Villalobos

Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México
Jeanette López Walle

Faculty of Sport Organization, Autonomous University of Nuevo León, México
Isabel Castillo Fernández

Faculty of Psychology, University of Valencia, Spain

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APA Style

Gabriel Gastélum Cuadras, Alejandro Chávez Guerrero, Judith Margarita Rodríguez-Villalobos, Jeanette López Walle, Isabel Castillo Fernández. (2014). Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Science Journal of Public Health, 2(3), 223-228. https://doi.org/10.11648/j.sjph.20140203.24

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ACS Style

Gabriel Gastélum Cuadras; Alejandro Chávez Guerrero; Judith Margarita Rodríguez-Villalobos; Jeanette López Walle; Isabel Castillo Fernández. Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Sci. J. Public Health 2014, 2(3), 223-228. doi: 10.11648/j.sjph.20140203.24

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AMA Style

Gabriel Gastélum Cuadras, Alejandro Chávez Guerrero, Judith Margarita Rodríguez-Villalobos, Jeanette López Walle, Isabel Castillo Fernández. Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students. Sci J Public Health. 2014;2(3):223-228. doi: 10.11648/j.sjph.20140203.24

Copy | Download

@article{10.11648/j.sjph.20140203.24,
  author = {Gabriel Gastélum Cuadras and Alejandro Chávez Guerrero and Judith Margarita Rodríguez-Villalobos and Jeanette López Walle and Isabel Castillo Fernández},
  title = {Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students},
  journal = {Science Journal of Public Health},
  volume = {2},
  number = {3},
  pages = {223-228},
  doi = {10.11648/j.sjph.20140203.24},
  url = {https://doi.org/10.11648/j.sjph.20140203.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20140203.24},
  abstract = {This present study analyses the psychometric properties of BIAS (Body Image Anxiety Scale) testing, trait version, in engineering and social sciences students. A total sample of 918 participants; 460 from engineering and 458 from social sciences, with an average age of 18.27 years (DE = 0.70) and 18.13 years (DE = 0.74) respectively. Exploratory and confirmatory factorial analysis showed that a bi-factorial structure is feasible and convenient for both populations (engineering and social sciences) according to the established psychometric requirements because the students are the ones who provided the information. Furthermore the factorial structure, factorial loads and the intercepts are considered invariant in the engineering and social sciences areas; however there are differences in the mean of both factors among the two populations.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Factorial Invariance of Bias Scale, Trait Version, in Engineering and Social Sciences Mexican University Students
AU  - Gabriel Gastélum Cuadras
AU  - Alejandro Chávez Guerrero
AU  - Judith Margarita Rodríguez-Villalobos
AU  - Jeanette López Walle
AU  - Isabel Castillo Fernández
Y1  - 2014/05/30
PY  - 2014
N1  - https://doi.org/10.11648/j.sjph.20140203.24
DO  - 10.11648/j.sjph.20140203.24
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 223
EP  - 228
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20140203.24
AB  - This present study analyses the psychometric properties of BIAS (Body Image Anxiety Scale) testing, trait version, in engineering and social sciences students. A total sample of 918 participants; 460 from engineering and 458 from social sciences, with an average age of 18.27 years (DE = 0.70) and 18.13 years (DE = 0.74) respectively. Exploratory and confirmatory factorial analysis showed that a bi-factorial structure is feasible and convenient for both populations (engineering and social sciences) according to the established psychometric requirements because the students are the ones who provided the information. Furthermore the factorial structure, factorial loads and the intercepts are considered invariant in the engineering and social sciences areas; however there are differences in the mean of both factors among the two populations.
VL  - 2
IS  - 3
ER  -

Copy | Download