Future Time Perspective Scale (FTPS-P): Análise Rasch da versão Portuguesa

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Published: Dec 15, 2017

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José Pacheco Miguel
Universidade de Coimbra
Portugal
http://orcid.org/0000-0002-9498-3444
Biography
Maria Paula Paixão
Universidade de Coimbra
Portugal
Biography
José Tomás Silva
Universidade de Coimbra
Portugal
Biography
Teresa Sousa Machado
Vol. Extr., núm. 01 (2017) - XIV CIG-PP, XIV Congreso de Psicopedagogía. Área 1: APRENDIZAJE, MEMORIA Y MOTIVACIÓN, pages 211-216
DOI: https://doi.org/10.17979/reipe.2017.0.01.2595
Submitted: Jul 15, 2017 Accepted: Dec 11, 2017 Published: Dec 15, 2017
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Abstract

O presente estudo analisa as propriedades psicométricas da Future Time Perspective Scale (FTPS) numa amostra de universitários portugueses, usando o modelo de Rasch.  Os resultados indicam que os itens das subescalas ajustam a estruturas latentes unidimensionais, pressuposto requerido pelo modelo de Rasch.  A escala de resposta apresentou funcionamento adequado, excepção feita à subescala de rapidez, permitindo que os parâmetros de pessoas e itens fossem estimados com elevada precisão.  Análises DIF confirmaram a inexistência de diferenças nos resultados relativas ao género. São discutidas as limitações do estudo e as implicações psicométricas dos resultados para futuras investigações.

Keywords:

perspectiva temporal, Rasch, rating scale model, DIF

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References

Bond, M.H. & Smith, P.B. (1996). Cross-cultural social and organizational psychology. Annual Review of Psychology, 47, 205-235.

Bond, T.G., & Fox, C.M. (2007). Applying the Rasch model. Fundamental measurement in the human scien- ces (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.

Cabral, C. (2011). Perspectiva temporal de futuro e aspirações de vida: estudo das suas relações e do seu impacto na vitalidade, satisfação com a vida e exploração e compromisso com a carreira. Dissertação de Mestrado, Faculdade de Psicologia e de Ciências da Educação, Universidade de Coimbra, Coimbra, Portugal.

Chou, Y.-T., & Wang, W.-C. (2010). Checking dimen- sionality in item response models with principal com- ponent analysis on standardized residual. Educational and Psychological Measurement, 70, 717-731. http:// dx.doi.org/10.1177/0013164410379322

Embretson, S.E. & Reise, S.P. (2000). Item Response Theory for Psychologists. Mahwah, NJ: Lawrence Erlbaum Associates.

Fisher, W.P. Jr. (2007). Rating scale instrument quality criteria. Rasch Measurement Transactions, 21, p. 1095.

Fox, C.M., & Jones, J.A. (1998). Uses of Rasch modeling in counseling psychology research. Journal of Counse- ling Psychology, 45, 30-45. http://dx.doi.org/10.1037// 0022-0167.45.1.30

Husman, J. & Lens, W. (1999). The role of the future in student motivation. Educational Psychologist, 34(2), 113-125.

Husman, J. & Shell, D.F. (2008). Beliefs and perceptions about the future: A measurement of future time perspective. Learning and Individual Differences, 18, 166-175.

Linacre, J.M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85-106.

Linacre, J.M. (2011). Winsteps Rasch measurement computer program, version 3.73.0. [Computer program] Chicago, Il: Winsteps.com.

Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741-749. http://dx.doi.org/ 10.1037//0003-066x.50.9.741

Miguel, J.P. (2013). TRI: representação e utilidade do modelo logístico de traço latente na psicometria actual. Dissertação de Doutoramento, Faculdade de Psicologia e de Ciências da Educação, Universidade de Coimbra, Coimbra, Portugal

Prieto, G. & Delgado, A.R. (2003). Analisis de un test mediante el modelo de Rasch. Psicothema, 15(1), 94-100.

Shell, D.F. & Husman, J. (2001). The multivariate dimensionality of personal control and future time perspective in achievement and studying. Contemporary Educational Psychology, 26, 481-506.

Smith Jr, E.V. (2004). Detecting and evaluating the impact of multidimensionality using item fit statistics and PCA of residuals. In: E.V. Smith Jr & R.M. Smith (Eds.), Introduction to Rasch measurement (pp. 575-600). Maple Grove, MN: JAM Press.

Wright, B.D., & Masters, G.N. (1982). Rating scale analysis. Chicago, Il: MESA Press.

Wolfe, E.W., & Smith Jr, E.V. (2007). Instrument deve- lopment tools and activities for measure validation using Rasch models: Part II - Validation activities. In E.V. Smith Jr & R.M. Smith (Eds.), Rasch measure- ment: Advanced and specialized applications (pp. 243-290). Maple Grove, MN: JAM Press.

Wright, BD., & Linacre, J.M. (1994). Reasonable mean-square fit values. Rasch Measurement Transac- tions, 8, p. 370.

Wright, B. D. & Mok, M.M. (2004). An overview of the family of Rasch measurement models. In E.V. Smith Jr & R.M. Smith (Eds.), Introduction to de Rasch Measurement (pp. 1-24). Maple Grove, MN: JAM Press.