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Psychological Test Toolbox: A New Tool to Compute Factor Analysis Controlling Response Bias

  • Datos identificativos

    Identificador: imarina:5938164
    Autores:
    Navarro-Gonzalez, DavidVigil-Colet, AndreuJoan Ferrando, PereLorenzo-Seva, Urbano
    Resumen:
    The effects of response bias in psychological tests have been investigated for years, the two most common being social desirability (SD) and acquiescence (AC). However, the traditional methods for controlling or eliminating the impact of those biases in participants' scores have several limitations. Some factor analysis-based methods can overcome some of these limitations, such as the procedure proposed by Ferrando, Lorenzo-Seva, and Chico (2009). Nevertheless, this method involves programming skills that are not common among applied researchers or clinicians. Consequently, we have developed a stand-alone, user-friendly application that provides an easy way of using the aforementioned method to perform a factor analysis which controls for the effect of AC and SD. The program has been developed in the MATLAB environment and its distribution is entirely free.
  • Otros:

    Autor según el artículo: Navarro-Gonzalez, David; Vigil-Colet, Andreu; Joan Ferrando, Pere; Lorenzo-Seva, Urbano
    Departamento: Psicologia
    Autor/es de la URV: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano / Navarro González, David / Vigil Colet, Andrés
    Palabras clave: Validation Social desirability Response bias Personality inventories Oblique rotation Multidimensional scales Matlab Mat-lab Factor-analytic procedures Exploratory factor analysis Aggression questionnaire Acquiescence
    Resumen: The effects of response bias in psychological tests have been investigated for years, the two most common being social desirability (SD) and acquiescence (AC). However, the traditional methods for controlling or eliminating the impact of those biases in participants' scores have several limitations. Some factor analysis-based methods can overcome some of these limitations, such as the procedure proposed by Ferrando, Lorenzo-Seva, and Chico (2009). Nevertheless, this method involves programming skills that are not common among applied researchers or clinicians. Consequently, we have developed a stand-alone, user-friendly application that provides an easy way of using the aforementioned method to perform a factor analysis which controls for the effect of AC and SD. The program has been developed in the MATLAB environment and its distribution is entirely free.
    Áreas temáticas: Statistics, probability and uncertainty Statistics and probability Statistics & probability Software Saúde coletiva Matemática / probabilidade e estatística Interdisciplinar Engenharias iii Engenharias i Computer science, interdisciplinary applications Ciencias sociales Ciência política e relações internacionais Ciência da computação
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 15487660
    Direcció de correo del autor: urbano.lorenzo@urv.cat andreu.vigil@urv.cat perejoan.ferrando@urv.cat
    Identificador del autor: 0000-0001-5369-3099 0000-0003-3818-4514 0000-0002-3133-5466
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.jstatsoft.org/article/view/v091i06
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Statistical Software. 91 (6):
    Referencia de l'ítem segons les normes APA: Navarro-Gonzalez, David; Vigil-Colet, Andreu; Joan Ferrando, Pere; Lorenzo-Seva, Urbano (2019). Psychological Test Toolbox: A New Tool to Compute Factor Analysis Controlling Response Bias. Journal Of Statistical Software, 91(6), -. DOI: 10.18637/jss.v091.i06
    DOI del artículo: 10.18637/jss.v091.i06
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2019
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science, Interdisciplinary Applications,Software,Statistics & Probability,Statistics and Probability,Statistics, Probability and Uncertainty
    Validation
    Social desirability
    Response bias
    Personality inventories
    Oblique rotation
    Multidimensional scales
    Matlab
    Mat-lab
    Factor-analytic procedures
    Exploratory factor analysis
    Aggression questionnaire
    Acquiescence
    Statistics, probability and uncertainty
    Statistics and probability
    Statistics & probability
    Software
    Saúde coletiva
    Matemática / probabilidade e estatística
    Interdisciplinar
    Engenharias iii
    Engenharias i
    Computer science, interdisciplinary applications
    Ciencias sociales
    Ciência política e relações internacionais
    Ciência da computação
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