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      Estudio preliminar de las propiedades psicométricas de la escala de Funcionamiento Psicológico Positivo para una muestra de adolescentes uruguayos Translated title: Estudo preliminar das propriedades psicométricas da escala Positive Psychological Functioning para uma amostra de adolescentes uruguaios Translated title: Preliminary study of the psychometric properties of the Positive Psychological Functioning Scale in a sample of Uruguayan adolescents

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          Abstract

          Resumen: El objetivo del presente trabajo fue evaluar las propiedades psicométricas de la escala de Funcionamiento Psicológico Positivo (FPP) en adolescentes uruguayos. La escala está compuesta por 33 ítems que miden 11 recursos psicológicos. El FPP se constituye en un constructo de segundo orden del bienestar eudaimónico. Se realizó un estudio de tipo instrumental con una muestra por conveniencia conformada por 183 adolescentes (de 12 a 17 años) de población general. Los resultados de los análisis factoriales realizados resultan en una estructura de siete dimensiones: autoestima, autonomía, propósito vital, optimismo/disfrute, curiosidad, humor y dominio del entorno (RMSEA= .09, CFI= .99, TLI= .97), y adecuados valores de fiabilidad. La solución factorial organizada en siete factores explica el 62,15 % de la varianza. Estos resultados concuerdan con el único estudio publicado en población adolescente, que a diferencia del original y los posteriores replicados, utilizaron muestras de universitarios.

          Translated abstract

          Resumo: O objetivo deste trabalho foi avaliar as propriedades psicométricas da escala de Funcionamento Psicológico Positivo (FPP) em adolescentes uruguaios. A escala é composta por 33 itens que medem 11 recursos psicológicos. O FPP constitui um construto de segunda ordem do bem-estar eudaimônico. Realizou-se estudo instrumental com amostra de conveniência composta por 183 adolescentes (12 a 17 anos) da população geral. Os resultados da análise fatorial realizada resultam em uma estrutura de sete dimensões: autoestima, autonomia, resiliência, otimismo, curiosidade, prazer e domínio do ambiente (RMSEA = 0,09, CFI = 0,99, TLI = 0,97) e valores de confiabilidade adequados. A solução fatorial organizada em sete fatores explica 62,15 % da variância. Esses resultados são consistentes com o único estudo publicado em uma população de adolescentes que, ao contrário do original e das réplicas subsequentes, utilizou amostras de estudantes universitários.

          Translated abstract

          Abstract: The objective of this paper was to evaluate the psychometric properties of the Positive Psychological Functioning scale (PPF) in Uruguayan adolescents. The scale is composed of 33 items that measure 11 psychological resources. The PPF constitutes a second-order construct of eudaimonic well-being. An instrumental study was carried out using a convenience sample made up of 183 adolescents (ages 12 through 17) from the general population. The results of the factor analysis carried out had a seven-dimensional structure: self-esteem, autonomy, purpose in life, optimism/enjoyment, curiosity, sense of humor, and environmental mastery (RMSEA = .09, CFI = .99, TLI = .97), and adequate reliability values. The factorial solution organized into seven factors explains 62.15 % of the variance. These results coincide with the only published study for an adolescent population, which differs from the original and subsequent studies given that these analyzed samples from university students.

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          El Análisis Factorial Exploratorio de los Ítems: una guía práctica, revisada y actualizada

          El Análisis Factorial Exploratorio es una de las técnicas más usadas en el desarrollo, validación y adaptación de instrumentos de medida psicológicos. Su uso se extendió durante los años 60 y ha ido creciendo de forma exponencial al ritmo que el avance de la informática ha permitido. Los criterios empleados en su uso, como es natural, también han evolucionado. Pero los investigadores interesados en asuntos sustantivos que utilizan rutinariamente esta técnica permanecen en muchos casos ignorantes de todo ello. En las últimas décadas numerosos trabajos han denunciado esta situación. La necesidad de actualizar los criterios clásicos para incorporar aquellos más adecuados es una necesidad urgente para hacer investigación de calidad. En este trabajo se revisan los criterios clásicos y, según el caso, se sustituyen o se complementan con otros más actuales. El objetivo es ofrecer al investigador aplicado interesado una guía actualizada acerca de cómo realizar un Análisis Factorial Exploratorio consonante con la psicometría post-Little Jiffy. Esta revisión y la guía con las recomendaciones correspondientes se han articulado en cuatro grandes bloques: 1) el tipo de datos y la matriz de asociación, 2) el método de estimación de factores, 3) el número de factores a retener, y 4) el método de rotación y asignación de ítems. Al final del artículo hemos incluido una versión breve de la guía.
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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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              Conservation of resources. A new attempt at conceptualizing stress.

              Major perspectives concerning stress are presented with the goal of clarifying the nature of what has proved to be a heuristic but vague construct. Current conceptualizations of stress are challenged as being too phenomenological and ambiguous, and consequently, not given to direct empirical testing. Indeed, it is argued that researchers have tended to avoid the problem of defining stress, choosing to study stress without reference to a clear framework. A new stress model called the model of conservation of resources is presented as an alternative. This resource-oriented model is based on the supposition that people strive to retain, project, and build resources and that what is threatening to them is the potential or actual loss of these valued resources. Implications of the model of conservation of resources for new research directions are discussed.
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                Author and article information

                Journal
                cp
                Ciencias Psicológicas
                Cienc. Psicol.
                Departamentos de Psicología de la Universidad Católica del Uruguay (Montevideo, , Uruguay )
                1688-4221
                June 2021
                : 15
                : 1
                : e2396
                Affiliations
                [1] Montevideo orgnameUniversidad Católica del Uruguay Uruguay mportela@ 123456ucu.edu.uy
                Article
                S1688-42212021000103214 S1688-4221(21)01500103214
                10.22235/cp.v15i1.2396
                9b75146e-1977-470b-bcd2-6a5803064e34

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

                History
                : 01 April 2020
                : 08 February 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 23, Pages: 0
                Product

                SciELO Uruguay

                Categories
                Artículos originales

                análisis factorial,propiedades psicométricas,funcionamiento psicológico positive,psychometric properties,factor analysis,positive psychological functioning,propriedades psicométricas,análise fatorial,funcionamento psicológico positivo

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