Análise psicométrica a partir da Teoria da Resposta ao Item: modelagem passo a passo de uma Escala de Solidão
DOI:
https://doi.org/10.22235/cp.v14i1.2179Palavras-chave:
teoria da resposta ao item, pedagógico, solidão, modelo de resposta graduada, psicometria avançadaResumo
A teoria da resposta ao item (TRI) é um conjunto de modelos psicométricos utilizado no desenvolvimento, avaliação, melhoria e pontuação das escalas de avaliação. Este artigo pedagógico fornece uma visão geral inicial de como conduzir, interpretar e apresentar resultados da aplicação de modelos TRI adequados para opções de respostas politômicas ordenadas. Os dados utilizados como exemplo para modelagem com TRI correspondem à aplicação da Escala de Solidão de Buenos Aires, um novo instrumento para avaliar a autopercepção da solidão, à amostra não probabilística e incidental de 509 participantes residentes na área metropolitana de Buenos Aires (53% mulheres). O objetivo deste artigo é apresentar as etapas gerais e os componentes necessários para realizar uma análise com TRI para aumentar o acesso a essa poderosa técnica psicométrica.
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Referências
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Abal, F. J. P., Auné, S. E., Lozzia, G. S., & Attorresi, H. F. (2017). Funcionamiento de la categoría central en ítems de Confianza para la Matemática. Evaluar, 17(2), 18-31.
Aiken, L. R. (1980). Content validity and reliability of single items or questionnaires. Educational and Psychological Measurement, 40, 955-959. https://doi.org/10.1177/001316448004000419
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45, 131-142. https://doi.org/10.1177/0013164485451012
Asún, R. & Zuñiga, C. (2008). Ventaja de los modelos politómicos de teoría de respuesta al ítem en la medición de actitudes sociales. El análisis de un caso. Psykhe, 17(2), 103-115.
Attorresi, H. F., Lozzia, G. S., Abal, F. J. P., Galibert, M. S., & Aguerri, M. E. (2009). Teoría de Respuesta al Ítem. Conceptos básicos y aplicaciones para la medición de constructos psicológicos. Revista Argentina de Clínica Psicológica, 18(2), 179-188.
Auné, S., Abal, F., & Attorresi, H. (2017a). Propiedades psicométricas de una prueba de conducta empática. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 3(45), 47-56. https://doi.org/10.21865/RIDEP45.3.04
Auné, S., Abal, F., & Attorresi, H. (2017b). Versión argentina de la Escala de Felicidad de Lima. Diversitas, 13(2), 201-214.
Auné, S., Abal, F., & Attorresi, H. (2019). Construction and psychometric properties of the Loneliness Scale in adults. International Journal of Psychological Research, 12(2), 82-90. http://dx.doi.org/10.21500/20112084.425782
Auné, S., Abal, F., & Attorresi, H. (2020). Modeling of the UCLA Loneliness Scale According to the Multidimensional Item Response Theory. Current Psychology, 1-8. https://doi.org/10.1007/s12144-020-00646-y
Baker, F. B., & Kim, S. H. (2017). The Basics of Item Response Theory Using R. New York, NY: Springer.
Bock, R. D. (1997). The nominal categories model. In W. van der Linden & R.K. Hambleton (Eds.), Handbook of Modern Item response Theory (pp. 33-50). N.Y.: Springer.
Cai, L. (2012). flexMIRT: Flexible multilevel item factor analysis and test scoring [Computer software]. Seattle, WA: Vector Psychometric Group, LLC.
Cai, L., Thissen, D., & du Toit, S. (2011). IRTPRO user's guide. Lincolnwood, IL: Scientific Software International.
Cappelleri, J. C., Lundy, J. J., & Hays, R. D. (2014). Overview of classical test theory and item response theory for the quantitative assessment of items in developing patient-reported outcomes measures. Clinical Therapeutics, 36(5), 648-662. https://doi.org/10.1016/j.clinthera.2014.04.006
Chen, W., & Thissen, D. (1997). Local dependence indices for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265-289.
De Ayala, R. J. (2009). The theory and practice of item response theory. New York, NY: Guilford.
Edelen. M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res., 16(1), 5-18. http://dx.doi.org/10.1007/s11136-007-9198-0
Ferrando, P. J., & Loranzo-Seva, U. (2017a). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educ. Psychol. Measur., 1-19. https://doi.org/10.1177/0013164417719308
Ferrando, P. J., & Lorenzo-Seva, U. (2017b). Program FACTOR at 10: Origins, development and future directions. Psicothema, 29, 236-240.
Haberman, S. J. (1978). Analysis of qualitative data: Vol. 1: Introductory topics. New York, NY: Academic Press.
Hair, J. F., Anderson, R.E., Tatham, R. L. & Black, W. C. (1999). Análisis Multivariante. Madrid, España: Prentice Hall Iberia.
Langer, M. (2008). A reexamination of Lord’s Wald test for differential item functioning using item response theory and modern error estimation (Unpublished doctoral dissertation). University of North Carolina, Chapel Hill.
Lozano, L. M., García-Cueto, E. & Muñiz, J. (2008). Effect of the Number of Response Categories on the Reliability and Validity of Rating Scales. Methodology, 4(2), 73-79. https://doi.org/10.1027/1614-2241.4.2.73
Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149-174.
Masters, G. N. (2016). Partial Credit Model. En W. J. van der Linden (Ed.). Handbook of Item Response Theory, Volume 1: Models (pp. 109-126). Boca Raton: Chapman & Hall/CRC.
Maydeu Olivares, A., & Joe, H. (2005). Limited and full information estimation and testing in 2n contingency tables: A unified framework. Journal of the American Statistical Association, 100, 1009-1020. http://dx.doi.org/10.1198/016214504000002069
Maydeu Olivares, A., & Joe, H. (2006). Limited information goodness-of-fit testing in multidimensional contingency tables. Psychometrika, 71, 713-732. http://dx.doi.org/10.1007/s11336-005-1295-9
Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm, Applied Psychological Measurement, 16, 159-176. https://doi.org/10.1002/j.2333-8504.1992.tb01436.x
Orlando, M., & Thissen, D. (2000). Likelihood-based item fit indices for dichotomous item response theory models. Applied Psychological Measurement, 24, 50-64. https://doi.org/10.1177/01466216000241003
Orlando, M., & Thissen, D. (2003). Further investigation of the performance of S-χ2: An item fit index for use with dichotomous item response theory models. Applied Psychological Measurement, 27, 289-298. https://doi.org/10.1177/0146621603027004004
Paek, I., & Cole, K. (2019). Using R for Item Response Theory Model Applications. New York, NY: Routledge.
Sacchi, C. & Richaud de Minzi, M. C. (1997). La Escala Revisada de Soledad de UCLA: Una adaptación argentina. Rev. Argent. Clín. Psicol, 6(1), 43-53.
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika monograph supplement, 17(4), 2. http://dx.doi.org/10.1002/j.2333-8504.1968.tb00153.x
Samejima, F. (2016). Graded response models. In Wim J. van der Linden (Ed.), Handbook of Item Response Theory, Volume One (pp. 123-136). Chapman and Hall/CRC.
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209-220. http://dx.doi.org/10.1037/a0023353
Toland, M. (2013). Practical guide to conducting an item response theory analysis. The Journal of Early Adolescence, 34(1), 120-151. https://doi.org/10.1177/0272431613511332
Woods, C. (2009). Empirical selection of anchors for tests of differential item functioning. Applied Psychological Measurement, 33(1), 42-57. https://doi.org/10.1177/0146621607314044
Abal, F. J. P., Auné, S. E., Lozzia, G. S., & Attorresi, H. F. (2017). Funcionamiento de la categoría central en ítems de Confianza para la Matemática. Evaluar, 17(2), 18-31.
Aiken, L. R. (1980). Content validity and reliability of single items or questionnaires. Educational and Psychological Measurement, 40, 955-959. https://doi.org/10.1177/001316448004000419
Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45, 131-142. https://doi.org/10.1177/0013164485451012
Asún, R. & Zuñiga, C. (2008). Ventaja de los modelos politómicos de teoría de respuesta al ítem en la medición de actitudes sociales. El análisis de un caso. Psykhe, 17(2), 103-115.
Attorresi, H. F., Lozzia, G. S., Abal, F. J. P., Galibert, M. S., & Aguerri, M. E. (2009). Teoría de Respuesta al Ítem. Conceptos básicos y aplicaciones para la medición de constructos psicológicos. Revista Argentina de Clínica Psicológica, 18(2), 179-188.
Auné, S., Abal, F., & Attorresi, H. (2017a). Propiedades psicométricas de una prueba de conducta empática. Revista Iberoamericana de Diagnóstico y Evaluación Psicológica, 3(45), 47-56. https://doi.org/10.21865/RIDEP45.3.04
Auné, S., Abal, F., & Attorresi, H. (2017b). Versión argentina de la Escala de Felicidad de Lima. Diversitas, 13(2), 201-214.
Auné, S., Abal, F., & Attorresi, H. (2019). Construction and psychometric properties of the Loneliness Scale in adults. International Journal of Psychological Research, 12(2), 82-90. http://dx.doi.org/10.21500/20112084.425782
Auné, S., Abal, F., & Attorresi, H. (2020). Modeling of the UCLA Loneliness Scale According to the Multidimensional Item Response Theory. Current Psychology, 1-8. https://doi.org/10.1007/s12144-020-00646-y
Baker, F. B., & Kim, S. H. (2017). The Basics of Item Response Theory Using R. New York, NY: Springer.
Bock, R. D. (1997). The nominal categories model. In W. van der Linden & R.K. Hambleton (Eds.), Handbook of Modern Item response Theory (pp. 33-50). N.Y.: Springer.
Cai, L. (2012). flexMIRT: Flexible multilevel item factor analysis and test scoring [Computer software]. Seattle, WA: Vector Psychometric Group, LLC.
Cai, L., Thissen, D., & du Toit, S. (2011). IRTPRO user's guide. Lincolnwood, IL: Scientific Software International.
Cappelleri, J. C., Lundy, J. J., & Hays, R. D. (2014). Overview of classical test theory and item response theory for the quantitative assessment of items in developing patient-reported outcomes measures. Clinical Therapeutics, 36(5), 648-662. https://doi.org/10.1016/j.clinthera.2014.04.006
Chen, W., & Thissen, D. (1997). Local dependence indices for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265-289.
De Ayala, R. J. (2009). The theory and practice of item response theory. New York, NY: Guilford.
Edelen. M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res., 16(1), 5-18. http://dx.doi.org/10.1007/s11136-007-9198-0
Ferrando, P. J., & Loranzo-Seva, U. (2017a). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educ. Psychol. Measur., 1-19. https://doi.org/10.1177/0013164417719308
Ferrando, P. J., & Lorenzo-Seva, U. (2017b). Program FACTOR at 10: Origins, development and future directions. Psicothema, 29, 236-240.
Haberman, S. J. (1978). Analysis of qualitative data: Vol. 1: Introductory topics. New York, NY: Academic Press.
Hair, J. F., Anderson, R.E., Tatham, R. L. & Black, W. C. (1999). Análisis Multivariante. Madrid, España: Prentice Hall Iberia.
Langer, M. (2008). A reexamination of Lord’s Wald test for differential item functioning using item response theory and modern error estimation (Unpublished doctoral dissertation). University of North Carolina, Chapel Hill.
Lozano, L. M., García-Cueto, E. & Muñiz, J. (2008). Effect of the Number of Response Categories on the Reliability and Validity of Rating Scales. Methodology, 4(2), 73-79. https://doi.org/10.1027/1614-2241.4.2.73
Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149-174.
Masters, G. N. (2016). Partial Credit Model. En W. J. van der Linden (Ed.). Handbook of Item Response Theory, Volume 1: Models (pp. 109-126). Boca Raton: Chapman & Hall/CRC.
Maydeu Olivares, A., & Joe, H. (2005). Limited and full information estimation and testing in 2n contingency tables: A unified framework. Journal of the American Statistical Association, 100, 1009-1020. http://dx.doi.org/10.1198/016214504000002069
Maydeu Olivares, A., & Joe, H. (2006). Limited information goodness-of-fit testing in multidimensional contingency tables. Psychometrika, 71, 713-732. http://dx.doi.org/10.1007/s11336-005-1295-9
Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm, Applied Psychological Measurement, 16, 159-176. https://doi.org/10.1002/j.2333-8504.1992.tb01436.x
Orlando, M., & Thissen, D. (2000). Likelihood-based item fit indices for dichotomous item response theory models. Applied Psychological Measurement, 24, 50-64. https://doi.org/10.1177/01466216000241003
Orlando, M., & Thissen, D. (2003). Further investigation of the performance of S-χ2: An item fit index for use with dichotomous item response theory models. Applied Psychological Measurement, 27, 289-298. https://doi.org/10.1177/0146621603027004004
Paek, I., & Cole, K. (2019). Using R for Item Response Theory Model Applications. New York, NY: Routledge.
Sacchi, C. & Richaud de Minzi, M. C. (1997). La Escala Revisada de Soledad de UCLA: Una adaptación argentina. Rev. Argent. Clín. Psicol, 6(1), 43-53.
Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika monograph supplement, 17(4), 2. http://dx.doi.org/10.1002/j.2333-8504.1968.tb00153.x
Samejima, F. (2016). Graded response models. In Wim J. van der Linden (Ed.), Handbook of Item Response Theory, Volume One (pp. 123-136). Chapman and Hall/CRC.
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209-220. http://dx.doi.org/10.1037/a0023353
Toland, M. (2013). Practical guide to conducting an item response theory analysis. The Journal of Early Adolescence, 34(1), 120-151. https://doi.org/10.1177/0272431613511332
Woods, C. (2009). Empirical selection of anchors for tests of differential item functioning. Applied Psychological Measurement, 33(1), 42-57. https://doi.org/10.1177/0146621607314044
Publicado
2020-06-01
Como Citar
Auné , S. E. ., Abal , F. J. P. ., & Attorresi , H. F. . (2020). Análise psicométrica a partir da Teoria da Resposta ao Item: modelagem passo a passo de uma Escala de Solidão. Ciencias Psicológicas, 14(1), e-2179. https://doi.org/10.22235/cp.v14i1.2179
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