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      Propriedades psicométricas da versão brasileira do Driving Cognitions Questionnaire – DCQ Translated title: Propiedades psicométricas de la versión brasileña de Driving Cognitions Questionnaire – DCQ Translated title: Psychometric properties of the Brazilian version of Driving Cognitions Questionnaire – DCQ

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          Abstract

          Este estudo teve como objetivo avaliar as propriedades psicométricas da versão brasileira do Driving Cognitions Questionnaire (DCQ). Além disso, os escores do DCQ foram correlacionados com o Inventário de Ansiedade Traço-Estado (IDATE-T e IDATE-E) e foi aplicado o teste t para verificar as diferenças de médias do DCQ nos grupos da amostra. Os participantes foram 200 alunos de autoescolas que estavam se preparando para receberem a Carteira Nacional de Habilitação nas categorias A ou B. Os resultados mostraram que o DCQ apresentou uma estrutura fatorial similar à versão original com bons índices de consistência interna. A correlação entre o DCQ e IDATE-t e IDATE-e foi significativa e de magnitude moderada, e o resultado do teste t indicou que não há diferença significativa na média do escore total do DCQ entre homens e mulheres, mas houve diferença significativa entre os alunos de aulas práticas e teóricas

          Translated abstract

          Este estudio tuvo como objetivo evaluar las propiedades psicométricas de la versión brasileña de Driving Cognitions Questionnaire (DCQ). Además, las puntuaciones del DCQ fueron correlacionados con Inventario de Ansiedad Rasgo-Estado (STAI-R y STAI-E) y se realizó el t-test para comprobar si había diferencias en los promedios del DCQ en los grupos de la muestra. Los participantes fueron 200 estudiantes que se preparaban para recibir una licencia de conducir de las categorías A o B. Los resultados mostraron una estructura factorial similar a la versión original con una buena consistencia interna. La correlación entre DCQ y STAI-R y STAI-E fue importante y moderado y el resultado de la prueba de t no indicó diferencias significativas entre la puntuación media total de DCQ entre hombres y mujeres, pero hubo diferencia significativa entre los estudiantes de clases teóricas y prácticas

          Translated abstract

          This study aimed to evaluate the psychometric properties of the Brazilian version of Driving Cognitions Questionnaire (DCQ). Additionally, DCQ scores were correlated with State-Trait Anxiety Inventory (STAI-T and STAI-S), and a t-test was performed to check for differences in means of DCQ in the sample groups. Two hundred students who were preparing to receive a Driver's License in categories A or B participated in the research. Results show a factor structure similar to the original version with good internal consistency. The correlation between DCQ and STAI-T and STAI-S was significant and moderate and the results of the t-test indicated no significant difference in the mean total score of DCQ between men and women, but there was a significant difference between the students in practical and theoretical classes

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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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            Using Multivariate Statistics

            This text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge ofhigher-level mathematics. *A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research. *A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention (
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              Uso da análise fatorial exploratória em psicologia

              A análise fatorial exploratória (AFE) é um conjunto de técnicas estatísticas amplamente utilizadas nas pesquisas em Psicologia. Durante sua execução, diversas decisões precisam ser tomadas a fim de se obter uma estrutura fatorial adequada. O presente artigo tem por objetivo discutir alguns dos principais aspectos desta técnica, apresentando estudos atualizados sobre o tema. Diferenças entre análise fatorial exploratória e análise de componentes principais, retenção e rotação fatorial, tamanho da amostra ideal, importância da variância explicada e a confiabilidade da solução fatorial são alguns dos tópicos discutidos. Aponta-se para o fato de que todas as decisões a serem tomadas durante a execução de uma análise fatorial exploratória não podem ser arbitrárias e subjetivas, mas devem ser pautadas em critérios teóricos e metodológicos claros. Este estudo pretende auxiliar pesquisadores da área da Psicologia a realizarem AFEs com maior discernimento teórico e metodológico.
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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 2015
                : 14
                : 3
                : 319-327
                Affiliations
                [01] orgnameUniversidade Federal de Uberlândia
                Article
                S1677-04712015000300004 S1677-0471(15)01400300004
                e67db7c9-63a9-49cc-a56d-4845f77dcde5

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

                History
                : August 2014
                : July 2015
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 31, Pages: 9
                Product

                SciELO Periódicos Eletrônicos em Psicologia

                Categories
                Artigos

                distúrbio de ansiedade,psicometria,motoristas,anxiety disorder,psychometrics,drivers,trastorno de ansiedad,psicometría,conductores

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