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      Escala de Propensão ao Risco Específico – Domínios Evolutivos: adaptação e estrutura fatorial Translated title: Specific Risk – Taking Scale – Evolutionary Domains: adaptation and factorial structure Translated title: Escala de propensión al riesgo específico – dominios evolutivos: adaptación y estructura factorial

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          Abstract

          Este estudo objetivou adaptar e levantar evidências de validade para a estrutura fatorial da Escala de Propensão ao Risco Específico – Domínios Evolutivos (EPRE-DE) voltada para a população brasileira. Participaram da pesquisa 1244 pessoas, respondendo a EPRE-DE e um questionário sociodemográfico on-line. As análises exploratória e confirmatória indicaram que o modelo bidimensional (coesão e competição) foi o mais adequado para a EPRE-DE, apresentando índices de confiabilidade satisfatórios para fins de pesquisa. A partir da MANOVA, verificou-se a validade por grupos contrastantes da medida a qual apresentou médias significativamente maiores de propensão ao risco em ambas as dimensões para os homens, como previsto pela literatura. Concluímos que a EPRE-DE é mais bem representada por um modelo fatorial bidimensional e é adequada do ponto de vista psicométrico, permitindo diferenciar grupos nos construtos avaliados.

          Translated abstract

          This study aimed to adapt and collect evidence of validity for the factor structure of the Specific Risk-Taking Scale – Evolutionary Domains to Brazilians. Participants were 1244 people answering EPRE-DE and an online sociodemographic questionnaire. The exploratory and confirmatory analysis supported the bidimensional model (cohesion and competition) for the EPRE-DE, with satisfactory reability indexes for research purposes. MANOVA analysis indicated validity by contrasting groups of the measure as men presented higher risk-taking in both dimensions, as predicted by the literature. We concluded the EPRE-DE is a psychometrically adequate instrument best represented by a bidimensional model that allows the differentiation of groups in the assessed constructs.

          Translated abstract

          Este estudio tuvo como objetivo adaptar y recoger pruebas de validez de estructura factorial de la Escala de Propensión al Riesgo Específico – Dominios de Evolución (EPRE-DE) hacia la población brasileña. Participaron 1.244 personas en la encuesta, respondiendo a la EPRE-DE y un cuestionario sociodemográfico en línea. Los análisis exploratorios y confirmatorios indicaron que el modelo de dos dimensiones (cohesión y competencia) fue el más adecuado para la EPRE-DE, con índices de fiabilidad satisfactorios para fines de investigación. Desde la MANOVA, se verificó la validez por grupos contrastantes de medida que presentaron promedios significativamente mayores de propensión al riesgo en ambas dimensiones para los hombres, según lo predicho por la literatura. Se concluyó que la EPRE-DE es más bien representada por un modelo factorial de dos dimensiones, es apropiada psicometricamente, permitiendo diferenciar grupos en los constructos evaluados.

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          Structural Equation Modeling with AMOS : Basic Concepts, Applications, and Programming

          <p>This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written for the novice SEM user. With each chapter, the author "walks" the reader through all steps involved in testing the SEM model including: </p><ul><p><li>an explanation of the issues addressed </li><p></p><p><li>an illustration of the hypothesized and posthoc models tested </li><p></p><p><li>AMOS input and output with accompanying interpretation and explanation</li><p></p><p><li>The function of the AMOS toolbar icons and their related pull-down menus</li><p></p><p><li>The data and published reference upon which the model was based.</li><p></p></ul><p></p><p>With over 50% new material, highlights of the new edition include:</p><ul><p><li>All new screen shots featuring Version 17 of the AMOS program </li><p></p><p><li>All data files now available at www.psypress.com/sem-with-amos </li><p></p><p><li>Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data</li><p></p><p><li>All applications based on the most commonly used graphical interface</li><p></p><p><li>The automated multi-group approach to testing for equivalence</li><p></p></ul><p></p><p>The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues. </p><p></p><p>Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended. </p>
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            A domain-specific risk-attitude scale: measuring risk perceptions and risk behaviors

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              Psychometric Theory

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                Author and article information

                Journal
                avp
                Avaliação Psicológica
                Aval. psicol.
                Universidade São Francisco; Pós-Graduação Stricto Sensu em Psicologia (Campinas, SP, Brazil )
                1677-0471
                2175-3431
                December 2013
                : 12
                : 3
                : 281-290
                Affiliations
                [02] orgnameUniversidade Federal do Espírito Santo
                [01] orgnameUniversidade de São Paulo
                Article
                S1677-04712013000300002 S1677-0471(13)01200300002
                1c7a3383-5620-456a-afa7-80827a1017d5

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

                History
                : August 2012
                : July 2013
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 42, Pages: 10
                Product

                SciELO Periódicos Eletrônicos em Psicologia

                Categories
                Artigos

                risco,medida psicológica,psicología evolucionista,riesgo,evolutionary psychology,psychological measure,risk,psicologia evolucionista

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