Future Time Perspective Scale (FTPS-P): Análise Rasch da versão Portuguesa
DOI:
https://doi.org/10.17979/reipe.2017.0.01.2595Keywords:
perspectiva temporal, Rasch, rating scale model, DIFAbstract
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.Downloads
Publication Facts
Reviewer profiles N/A
Author statements
Indexed in
-
—
- Editor & editorial board
- profiles
- Academic society
- N/A
- Publisher
- Universidade da Coruña, Servizo de Publicacións
To learn about these publication facts, click 
PF is maintained by the Public Knowledge Project
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.
Downloads
Published
How to Cite
Issue
Section
License
The papers published in this journal are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors are the holders of the exploitation rights (copyright) of their work, but grant the right of first publication to the Revista de Estudios e Investigación en Psicología y Educación, which may publish in any language and format as well as publish and distribute their whole or partial content by any technologically available means and via data base.
Authors are allowed and encouraged to disseminate the articles accepted for publication on personal or institutional websites, before and after their publication, provided it is clearly stated that the work is in this journal and all bibliographic data are provided along with access to the document, preferably through the DOI (if it is indispensable to use a pdf, the final version formatted by the journal should be used). In the case of articles resulting from funded studies or projects, this will be done within the deadlines and terms established by the supporting organisation(s) of the published research.
