Propiedades psicométricas del Test de Adicción a las Redes Sociales bajo el Análisis Exploratorio de Modelos de Ecuaciones Estructurales
DOI:
https://doi.org/10.53940/reys.v6i12.306Palabras clave:
ppropiedades psicométricas, adicción a las redes sociales, análisis exploratorio, modelo de ecuaciones estructuralesResumen
Se analizaron las propiedades psicométricas del Cuestionario de Adicción a las Redes Sociales (ARS) mediante modelos exploratorios de ecuaciones estructurales (ESEM) en una muestra de 3586 estudiantes universitarios de diversas universidades de Lima Metropolitana. Los resultados mostraron que el modelo ESEM presentó un mejor ajuste que el análisis factorial confirmatorio (CFA). Además, las puntuaciones fueron invariantes según sexo y tipo de universidad. El ARS evidenció alta consistencia interna (α y ω) y diferencias significativas por sexo y procedencia universitaria, respaldando su validez y confiabilidad para evaluar la adicción a las redes sociales en estudiantes universitarios.
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Referencias
American Educational Research Association (AERA), American Psychological Association (APA), & National Council of Measurement in Education (NCME). (2014). Standards for educational and psychological testing. AERA.
Alarcón, R. (2008). Métodos y diseños de investigación del comportamiento. Universidad Ricardo Palma.
American Psychiatric Association (2014). DSM-5. Manual diagnóstico y estadístico de los trastornos mentales. Editorial Médica Panamericana.
Arens, A. K. y Morin, A. J. S. (2016). Examination of the structure and grade-related differentiation of multidimensional self-concept instruments for children using ESEM. J. Exp. Educ., 84, 330–355. https//:doi.org/10.1080/00220973.2014.999187
Asparouhov, T. & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397-438. https//:doi.org/1080/10705510903008204
Asparouhov, T., Muthén, B., and Morin, A. J. S. (2015). Bayesian Structural Equation Modeling with cross-loadings and residual covariances: comments on Stromeyer et al. J. Manage. 41, 1561– 1577. https://doi/org/ 10.1177/0149206315591075
Brennan, R.L. (2001). An essay on the history and future of reliability from the perspective of replications. Journal of Educational Measurement, 38(4), 295-317. https://doi.org/10.1111/j.1745-3984.2001.tb01129.x
Carballo, J.L., Perez-Jover, M.V., Espada, J.P., Orgiles, M., & Piqueras, J.A. (2012). Psychometric properties of a Multidimensional Scale of Social Expression to assess social skills in the Internet context. Psicothema, 24, 121-126.
Chamarro, A., Penelo, E., Fornieles, A., Oberst, U., Vallerand, R. J., and Fernández- Castro, J. (2015). Psychometric properties of the Spanish version of the Passion Scale. Psicothema, 27, 402–409. https://doi.org/10.7334/psicothema2015.80
Chen, F. F. (2007). Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance. Structural Equation Modeling: A Multidisciplinary Journal. 14(3).464-504. https://doi.org/10.1080/10705510701301834
Cheung, G. W. & Rensvold, R. B. (2002). Evaluating goodness of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255.
Cho E. & Kim S. (2014). Cronbach's coefficient alpha: well-known but poorly understood. Organizational Research. Methods. 18(2), 207–230. https://doi.org/10.1177/1094428114555994
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Cupani, M., Vaiman, M., María Laura Font, M. L., Pizzichini, F. y Saretti, B. (2012). Análisis factorial confirmatorio del neo-ffi utilizando parcelización de ítems y método Bootstrap. Avaliação Psicológica, 11(2),159-168.
De Vellis, (2012). Scale development, Theory and applications. SAGE.
Dunn, T.J., Baguley T, & Brunsden, V. (2014). From alpha to Omega: A practical solution to the pervasive problema of internal consistency estimation. British Journal of Psychology, (3). 399- 412. https://doi.org/10.1111/bjop.12046
Escurra, M. y Salas, E. (2014). Construcción y validación del cuestionario de adicción a las redes sociales. Liberabit, 20(1), 73-91.
Fuente, A., Herrero, J. & Gracia, E. (2010). Internet y apoyo social: Sociabilidad online y ajuste psicosocial en la sociedad de la información. Acción Psicológica, 7(1), 9-15.
Graham J. M. (2006). Congeneric and (essentially) tau-equivalent estimates of score reliability what they are and how to use them. Educational and Psychological Measurement, 66(6), 930–944. https://doi.org/10.1177/0013164406288165
Green S. B., & Yang Y. (2009). Reliability of summed item scores using structural equation modeling: an alternative to coefficient Alpha. Psychometrika, 74(1), 155–167. https://doi.org/10.1007/s11336-008-9099-3
Guay, F., Morin, A. J. S., Litalien, D., Valois, P., and Vallerand, R. J. (2015). Application of exploratory structural equation modeling to evaluate the academic motivation scale. J. Exp. Educ., 83, 51–82. https://doi.org/10.1080/00220973.2013.876231
Jöreskog, K. G., & Sörbom, D. (1979). Advances in factor analysis and structural equation models. Abt Books.
Lozares, C. (1996). La teoría de las redes sociales. Papers, 48, 103-126.
Maïano, C., Morin, A. J. S., Lanfranchi, M. C., and Therme, P. (2013). The Eating Attitudes Test-26 revisited using exploratory structural equation modeling. J. Abnorm. Child. Psychol., 41, 775–788. https://doi.org/10.1007/s10802-013-9718-z
Marsh, H. W., Liem, G. A. D., Martin, A. J., Morin, A. J. S. y Nagengast, B. (2011). Measurement fruitfulness of exploratory structural equation modelling (ESEM) in addressing key substantive issues in motivation and engagement research. Journal of Psychoeducational Assessment, 29, 322-346. https://doi.org/10.1080/09243453.2013.812568
Marsh, H. W., Morin, A. J. S., Parker, P., and Kaur, G. (2014). Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis. Annu. Rev. Clin. Psychol., 10, 85–110. https://doi.org/10.1146/annurev-clinpsy-032813-153700
Marsh, H.W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., et al. (2009). Exploratory structural equation modeling, integrating CFA and EFA: application to students´s evaluations of university teaching. Struct. Equat. Model., 16, 439–476. https://doi.org/10.1080/10705510903008220
Meattle, J. (2007). Top-50websities-Ranked by Unique Visitors: Digg.com, Facebook, Flickr sky rocketing. http://blog.compete/2007/10/30/top-50-websites-domans-digg-youtube-flickr-facebook/
Milfont, T. L. & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 112-131. https://doi.org/10.21500/20112084.857
Morin, A. J. S., Marsh, H. W., and Nagengast, B. (2013). “Exploratory structural equation modeling” in Hancock, G. R., & Mueller, R. O. (Eds.). (2013). Structural equation modeling: A second course (2nd ed.). Charlotte, NC: Information Age Publishing, Inc.
Morin, A. J. S., Maïano, C.,White, R. L., Owen, K. B., Tracey, D., Mascret, N., et al. (2016). English validation of the short form of the Physical Self-Inventory (PSIS). Psychol. Sport Exerc., 27, 180–194. https://doi.org/10.1016/j.psychsport.2016.08.016
Orihuela, M. (2008). Internet: La hora de las redes sociales, Nueva Revista 119, 57-62. http://mccd.udc.es/orihuela/documentos/nueva_revista_08.pdf
Ostini, R. & Nering, M. L. (2010). Handbook of Polytomous ítem response theory models. Taylor & Francis Group
Palacios, p., Arias, V. y Arias B. (2014). Las actitudes hacia las matemáticas: construcción y validación de un instrumento para su medida. Revista de Psicodidáctica, 19(1), 67-91.
Perera, H. N. (2015). The internal structure of responses to the trait emotional intelligence questionnaire-short form: an exploratory structural equation modeling approach. J. Pers. Assess., 97, 411–423. https://doi.org/0.1080/00223891.2015.1014042
Ponce, F. (2015). Análisis exploratorio de modelos de ecuaciones estructurales sobre la escala de resiliencia de Connor y Davidson (cd-risc) en Chile y España. Salud & Sociedad, 3(6), septiembre-diciembre. 238-247.
Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21, 173-184. https://doi.org/10.1177/01466216970212006
Razali, N. y Wah, Y. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov- Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21-33. https://www.nrc.gov/docs/ml1714/ml17143a100.pdf
Reyna, C., Ortiz, M. V. y Revilla, R. G. (2014). Modelo de ecuaciones estructurales exploratorio del general decisionmaking style inventory. Revista de Psicología, 23(1), 33-39. https://doi.org/10.5354/0719- 0581.2014.32872
Romano, J. L., Kromrey, J. D. & Hibbard, S. T. (2010). A Monte Carlo study of eight confidence interval methods for coefficient alpha. Educational and Psychological Measurement, 70(3), 376-393. https://doi.org/10.1177/0013164409355690
Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometric Monograph, 17. Richmond, VA: Psychometric Society. http://www.psychometrika.org/journal/online/MN17.pdf
Samejima, F. (1972). A General Model for Free-Response Data. Psychometric Monograph, 18. Richmond, VA: Psychometric Society. http://www.psychometrika.org/journal/online/MN18.pdf
Samejima, F. (1996). Evaluation of mathematical models for ordened polichotomous response. Behaviormetrika, 23(1). 17-35.
Sánchez, H. y Reyes, C. (2015). Metodología y Diseños en la Investigación Científica. Business Support Aneth S.R.L.
Schellenberg, B. J., Gunnell, K. E., Mosewich, A. D., and Bailis, D. S. (2014). Measurement, invariance of the passion scale across three samples: an ESEM Approach. Meas. Phys. Educ. Exerc. Sci. 18, 242–258. https://doi.org/0.1080/1091367X.2014.942453
Siegel, S., Castellan, N.J. (2012). Estadística no paramétrica aplicada a las Ciencias de la conducta. Trillas.
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika, 4(1), 107-120. https://doi.org/10.1007/s11336-008-9101-0
Stromeyer, W. R., Miller, J. W., Sriramachandramurthy, R., and DeMartino, R. (2015). The prowess and pitfalls of Bayesian Structural Equation Modeling: important considerations for management research. J. Manage. 41, 491–520. https://doi.org/10.1177/0149206314551962
Thurstone, L. L. (1947). Multiple-factor analysis. Chicago: The University Chicago Press Teo T. & Fan X. (2013). Coefficient alpha and beyond: issues and alternatives for educational research. Asia Pacific Educational Researcher. 22(2), 209–213. https://doi.org/10.1007/s40299-013-0075- z
Tóth-Király I, Bõthe B, Rigó A and Orosz G (2017a) An Illustration of the Exploratory Structural
Equation Modeling (ESEM) Framework on the Passion Scale. Front. Psychol. 8,1968. https://doi.org/10.3389/fpsyg.2017.01968
Tóth-Király, I., Orosz, G., Dombi, E., Jagodics, B., Farkas, D., and Amoura, C. (2017b). Crosscultural comparative examination of the academic motivation scale using exploratory structural equation modeling. Pers. Indiv. Differ. 106, 130–135. https://doi.org/10.1016/j.paid.2016.10.048
Trizano-Hermosilla, I. & Alvarado, J. M. (2016). Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements. Frontiers in Psychology, 7, 769. https://doi.org/10.3389/fpsyg.2016.00769
Van der Linden, W. J. & Hambleton, R. K. (1997). Handbook of modern item response theory. Springer-Verlag.
Zhang, Z. & Yuan, K. (2016). Robust Coefficients Alpha and Omega and Confidence intervals with outlying observations and missing data: Methods and Software. Educational and Psychological Measurement 76(3), 1–25. https://doi.org/10.1177/0013164415594658
Zhao, Y., St-Louis, A., and Vallerand, R. J. (2015). On the validation of the passion scale in Chinese. Psychol.Well Being 5, 1–12. https://doi.org/10.1186/s13612-015-0031-1
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Derechos de autor 2025 Luis Miguel Escurra-Mayaute, Ana Esther Delgado-Vásquez, Juan Pequeña-Constantino, María Clotilde Atalaya-Pisco, Abel Cuzcano-Zapata, José Carlos Rivera-Benavides, Rolando Santiago Solís-Narro, Carmen Leni Álvarez-Taco

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