Science Journal of Public Health

| Peer-Reviewed |

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

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

Share This Article

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.

DOI 10.11648/j.sjph.20140203.24
Published in Science Journal of Public Health (Volume 2, Issue 3, May 2014)
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), 2024. Published by Science Publishing Group

Keywords

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

References
[1] Anuel, Bracho, Brito, Rondón, & Sulbarán. Cognitive mechanisms of self-acceptance and body image. Psicothema, 2012. 24(3): p. 390-395.
[2] Anuel, Bracho, Brito, Rondón, & Sulbarán. Autoaceptación y mecanismos cognitivos sobre la imagen corporal. Psicothema, 2012. 24(3): p. 390-395.
[3] Francisco, R., Alarcão, M., and Narciso, I. Evaluation of risk factors for develop-ment of eating disorders: Development and validation studies of the Portuguese version of the McKnight Risk Factor Survey IV. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 2011. 32(2): p. 143-170.
[4] Francisco, R., Alarcão, M., and Narciso, I. Avaliação de factores de risco de desenvolvimento de perturbações alimentares: Desenvolvimento e estudos de vali-dação da versão portuguesa do McKnight Risk Factor Survey IV. Revista Iberoamericana de Di-agnóstico y Evaluación Psicológica, 2011. 32(2): p. 143-170.
[5] Thompson, J.K., Introduction: Body image, eating disorders, and obesity – An emerging synthesis, in Body image, eating disord-ers, and obesity: An Integrative Guide for Assessment and Treatment, J.K. Thompson, Editor. 2003, American Psychological Association: Washington, D C. p. 1-20.
[6] Calaf, León, Hilerio, & Rodríguez. Inventory of Body Image Teen Women (IICFA). Revista Interamericana de psicología, 2005. 39(3): p. 347-354.
[7] Calaf, León, Hilerio, & Rodríguez. Inventario de Imagen Corporal para Féminas Adolescentes (IICFA). Revista Interamericana de psicología, 2005. 39(3): p. 347-354.
[8] Spielberger, C.D., Current trends in theory and research on anxiety, in Anxiety: current trends in theory and research, C.D. Spielberger, Editor. 1972, Academic Press: New York.
[9] Lazarus, R.S. Emotion and adaptation. 1994, New York: Oxford University Press.
[10] Raich, R.M., Imagen corporal. Know and appreciate their own body. 2000, Madrid: Pirámide.
[11] Raich, R.M., Imagen corporal. Conocer y valorar el propio cuerpo. 2000, Madrid: Pirámide.
[12] Raich, R.M., A perspective from the health psychology of body image. Revista Avances en Psicología Latinoamericana, 2004. 22: p. 15-27.
[13] Raich, R.M., Una perspectiva desde la psicología de la salud de la imagen corporal. Revista Avances en Psicología Lati-noamericana, 2004. 22: p. 15-27.
[14] Abalo, Lévy, Rial, & Varela. Factorial invariance with multiple samples, in Modelling with Covariance Structures in Social Sciences J. Lévy Mangin, Editor. 2006, Netbiblo: Madrid. p. 259-278
[15] Abalo, Lévy, Rial, & Varela. Invarianza factorial con muestras múltiples, en Modelización con Estructuras de Covarianzas en Ciencias Sociales J. Lévy Mangin, Editor. 2006, Netbiblo: Madrid. p. 259-278.
[16] Blanco, Martínez, Zueck, & Gastélum. Psychometric analysis of the self-efficacy scale in academic behaviors in college freshmen. Actualidades Investigativas en Educación, 2011. 11(3): p. 1-27.
[17] Blanco, Martínez, Zueck, & Gastélum. Análisis psicométrico de la escala autoeficacia en conductas académicas en universitarios de primer ingreso. Actualidades Investigativas en Educación, 2011. 11(3): p. 1-27.
[18] Castañeda, Pineda, Gutiérrez, Romero, & Peñalosa. Construction of instruments study strategies, self-regulation and personal epistemology. Construct validation. Revista Mex-icana de Psicología, 2010. 27(1): p. 77-85.
[19] Castañeda, Pineda, Gutiérrez, Romero, & Peñalosa. Construcción de instrumentos de estrategias de estudio, autorregulación y epistemología personal. Validación de constructo. Revista Mexicana de Psicología, 2010. 27(1): p. 77-85.
[20] Ornelas, Blanco, Rodríguez y Flores. Psychometric analysis of the self-efficacy scale behavior of physical health care in university freshmen. Formación Universitaria, 2011. 4(6): p. 21-34.
[21] Ornelas, Blanco, Rodríguez y Flores. Análisis psicométrico de la escala autoeficacia en conductas de cuidado de la salud física en universitarios de primer ingreso. Formación Universitaria, 2011. 4(6): p. 21-34.
[22] Raviolo, Ramirez, López, & Aguilar. Conceptions of knowledge and scientific models: a preliminary study. Formación Universitaria, 2010. 3(5): p. 29-36.
[23] Raviolo, Ramirez, López, & Aguilar. Concepciones sobre el conocimiento y los modelos científicos: un estudio preliminar. Formación Universitaria, 2010. 3(5): p. 29-36.
[24] Viciana, J., E.M. Cervelló, and J. Ramírez, Effects of manipulating positive and negative feedback on goal orientation, perceived motivational climate, satisfaction, task choice, perception of ability, and attitude to physical education lessons. Perceptual and motor skills, 2007. 105(1): p. 67-82.
[25] Ornelas, Gastélum, Blanco y Peinado. Psychometric analysis of the test Trait Anxiety Scale Body Image version higher education students. Perfiles Educativos, 2014. 36(144): p. 120-137.
[26] Ornelas, Gastélum, Blanco y Peinado. Análisis psicométrico de la prueba Body Image Anxiety Scale Versión Rasgo en alumnos de educación superior. Perfiles Educativos, 2014. 36(144): p. 120-137.
[27] Blanco, H., et al., Editor for creating and applying computerise surveys. Procedia Social and Behavioral Sciences, 2013. 106: p. 935-940.
[28] Arbuckle, J.R., AMOS users guide version 16.0. 2007, Chicago, IL: Marketing Department, SPSS Incorporated.
[29] Thompson, B., Exploratory and Confirmatory Factor Analysis. Understanding concepts and applications. . 2004, Washington, D C: American Psychological Association.
[30] Gelabert, E., et al., Psychometric properties of the Spanish version of the Frost Multidimensional Perfectionism Scale in women. Psicothema, 2011. 23(1): p. 133-139.
[31] Leighton, J., R. Gokiert, and Y. Cui, Using Exploratory and Confirmatory Methods to Identify the Cognitive Dimensions In a Large-Scale Science Assessment. International Journal of Testing, 2007. 7(2): p. 141-189.
[32] Cheung, G.W. and R.B. Rensvold, Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 2002. 9(2): p. 233-255.
Author Information
  • Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México

  • Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México

  • Faculty of Physical Culture Sciences, Autonomous University of Chihuahua, México

  • Faculty of Sport Organization, Autonomous University of Nuevo León, México

  • Faculty of Psychology, University of Valencia, Spain

Cite This Article
  • 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

    Copy | Download

    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

    Copy | Download

    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://download.sciencepg.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

  • Sections