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      Masculinity and femininity: a multidimensional approach Translated title: Masculinidad y feminidad: una visión multidimensional

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          Abstract

          Abstract The research on Masculinity and Femininity has a long history. Despite this, there is still discussion about the nature of these concepts. In the present study, the development of the Oviedo Gender Roles Scale (GRSO) is presented. A sample of 612 participants belonging to general Spanish population is used (Myears = 34.2; SDyears = 15.9). The dimensionality, discrimination indices, reliability and evidence of convergent and divergent validity of the instrument were studied. In addition, differences in general (Big Five model) and specific personality traits based on sex were measured and an ANCOVA was performed controlling the variables of Masculinity and Femininity. A good fit to a three-factor multidimensional structure, with Cronbach’s alphas indicating good reliability (Socioemotional = .75; Comparison = .81; Aggressiveness = .77) and adequate evidence of validity were observed. Differences based on sex were observed in various personality traits, but when controlling for Masculinity and Femininity, such differences disappeared. ERGO is a reliable and valid test for the study of gender roles. The implication of a multidimensional approach on Masculinity and Femininity is discussed.

          Translated abstract

          Resumen La investigación de la Masculinidad y la Feminidad posee una larga trayectoria. A pesar de ello, aún se continúa discutiendo sobre la naturaleza de estos conceptos. En el presente estudio, se presenta el desarrollo de la Escala de Roles de Género de Oviedo (ERGO). Se empleó una muestra de 612 participantes procedentes de la población general española (Maños = 34.2; DTaños = 15.9). Se estudió la dimensionalidad, los índices de discriminación, la fiabilidad y las evidencias de validez divergente y convergente del instrumento. Además, se estudiaron diferencias en rasgos generales (modelo Big Five) y específicos de personalidad en función del sexo, y se realizó un ANCOVA controlando las variables de Masculinidad y Feminidad. Se observó un buen ajuste a una estructura multidimensional de tres factores, con alfas de Cronbach indicando una fiabilidad buena (Socioemocional = .75; Comparación = .81; Agresividad = .77) y adecuadas evidencias de validez. Se observaron diferencias en función del sexo en varios rasgos de personalidad, pero, al controlar la Masculinidad y Feminidad, las diferencias desaparecieron. El ERGO es una prueba válida y fiable para el estudio de los roles de género. Se discute la implicación de una aproximación multidimensional de la Masculinidad y Feminidad.

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              Dimensionality assessment of ordered polytomous items with parallel analysis.

              Parallel analysis (PA) is an often-recommended approach for assessment of the dimensionality of a variable set. PA is known in different variants, which may yield different dimensionality indications. In this article, the authors considered the most appropriate PA procedure to assess the number of common factors underlying ordered polytomously scored variables. They proposed minimum rank factor analysis (MRFA) as an extraction method, rather than the currently applied principal component analysis (PCA) and principal axes factoring. A simulation study, based on data with major and minor factors, showed that all procedures consistently point at the number of major common factors. A polychoric-based PA slightly outperformed a Pearson-based PA, but convergence problems may hamper its empirical application. In empirical practice, PA-MRFA with a 95% threshold based on polychoric correlations or, in case of nonconvergence, Pearson correlations with mean thresholds appear to be a good choice for identification of the number of common factors. PA-MRFA is a common-factor-based method and performed best in the simulation experiment. PA based on PCA with a 95% threshold is second best, as this method showed good performances in the empirically relevant conditions of the simulation experiment. © 2011 American Psychological Association
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                Author and article information

                Journal
                ap
                Anales de Psicología
                Anal. Psicol.
                Universidad de Murcia (Murcia, Murcia, Spain )
                0212-9728
                1695-2294
                September 2022
                : 38
                : 2
                : 347-354
                Affiliations
                [2] Asturias orgnameUniversidad de Oviedo Spain
                [1] Oviedo orgnameInstituto de Investigación Sanitaria del Principado de Asturias Spain
                Article
                S0212-97282022000200015 S0212-9728(22)03800200015
                10.6018/analesps.481821
                7e21a634-8edf-410d-b1ee-da6e8b055366

                This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

                History
                : 31 May 2021
                : 28 February 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 48, Pages: 8
                Product

                SciELO Spain

                Categories
                Social Psychology

                BEPE,Big Five,Gender Roles,Sex,Femininity,Masculinity,ERGO,Roles de género,Sexo,Feminidad,Masculinidad

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