Adaptation and initial validation of an Internet reading literacy test in a sample of Argentine undergraduate students

Main Article Content

Gaston Ignacio Saux
Ángel Tabullo
Franco Germán Londra
Lina Grasso

Abstract

La competencia lectora refiere a la capacidad para comprender, usar y analizar textos escritos en función de objetivos. Argentina no cuenta con un instrumento que evalúe la competencia lectora en entornos digitales. Presentamos una adaptación lingüístico-cultural y validación inicial de la prueba WebLEC en una muestra de 85 universitarios (56 mujeres, 18-36 años, M = 20.4, DE= 4.6). La prueba incluye 28 ítems en cuatro escenarios (Foro, Wiki, Web joven y Motor de búsqueda). Proporciona un índice de competencia lectora en Internet, basado en tres tipos de tareas (acceso y recuperación, integración e interpretación, y reflexión y evaluación), más dos índices de navegación. Los resultados fueron favorables y sugieren que la versión adaptada de la prueba es adecuada para evaluar la lectura en entornos Web, mostrando evidencias de buena consistencia interna (α = .75), validez de convergencia y validez de grupos contrastados, p < .05.

Downloads

Download data is not yet available.

Article Details

How to Cite
Saux, G. I., Tabullo, Ángel, Londra, F. G., & Grasso, L. (2024). Adaptation and initial validation of an Internet reading literacy test in a sample of Argentine undergraduate students. Argentinean Journal of Behavioral Sciences, 16(2), 84–95. https://doi.org/10.32348/1852.4206.v16.n2.32926
Section
Technical or Methodological Articles

References

Alexander, P. A. (2020). What research has revealed about readers’ struggles with comprehension in the digital age: moving beyond the phonics versus whole language debate. Reading Research Quarterly, 55(S1), S89-S97. https://doi.org/10.1002/rrq.331

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2018). Estándares para pruebas educativas y psicológicas. American Educational Research Association. https://www.testingstandards.net/uploads/7/6/6/4/76643089/9780935302745_web.pdf

Benedetti, P., Cotton, A., Ballarini, F., Abusamra, V., & Ramírez Butavand, V. (2020, Octubre 7-9). Electronic reading: Impact of different digital devices on reading comprehension [Presentación en e-poster]. XXXV Annual Meeting of the Argentinian Society for Neuroscience Research, Buenos Aires, Argentina. https://saneurociencias.org.ar/csan2020/posters/electronic-reading-impact-of-different-digital-devices-on-reading-comprehension/index.html

Britt, M. A., Durik, A., & Rouet, J.-F. (2022). Reading contexts, goals, and decisions: Text comprehension as a situated activity. Discourse Processes, 59(5-6), 361-378 https://doi.org/10.1080/0163853X.2022.2068345

Britt, M. A., Rouet, J. F., & Durik, A. M. (2018). Literacy beyond text comprehension: A theory of purposeful reading. Routledge.

Burin, D. I. (2020). Comprensión de texto digital. En Burin, D. I. (Ed.), La competencia lectora a principios del SXXI: texto, multimedia e internet (pp. 73-100). Teseo.

Burin, D. I., Barreyro, J. P., Saux, G., & Irrazabal, N. (2015). Navigation and comprehension of digital expository texts: Hypertext structure, previous domain knowledge, and working memory capacity. Electronic Journal of Research in Educational Psychology, 13(37), 529-550. https://doi.org/10.14204/ejrep.37.14136

Burin, D. I., Gonzalez, F. M., Barreyro, J. P., & Injoque-Ricle, I. (2020). Metacognitive regulation contributes to digital text comprehension in E-learning. Metacognition and Learning, 15(3), 391-410. http://doi.org/10.1007/s11409-020-09226-8

Burin, D. I., González, F. M., Martínez, M., Marrujo, J. G. (2021). Expository multimedia comprehension in E-learning: Presentation format, verbal ability and working memory capacity. Journal of Computer Assisted Learning, 37(3), 797-809. https://doi.org/10.1111/jcal.12524

Chinn, C. A., Barzilai, S., & Duncan, R. G. (2021). Education for a “post-truth” world: New directions for research and practice. Educational Researcher, 50(1), 51-60. https://doi.org/10.3102/0013189X20940683

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3a ed.). Lawrence Erlbaum Associates Publishers.

Coolican, H. (2014). Research methods and statistics in psychology (6ta ed.). Psychology Press.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334. https://doi.org/10.1007/BF02310555

De Beni, R., Cornoldi, C., Carretti, B., & Meneghetti, B. (2003). Nuova guida alla comprensione del testo. Erickson.

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191. https://doi.org/10.3758/BF03193146

González, F. M., Saux, G., & Burin, D. I. (2019). The decorative images’ seductive effect in e-learning depends on attentional inhibition. Australasian Journal of Educational Technology, 35(3), 166-178. https://doi.org/10.14742/ajet.4577

González, F. M., Sucno, J. G. M., Ricle, I., Barreyro, J. P., & Burin, D. I. (2017). Habilidades de Internet: relación con la experiencia en Internet y la aptitud verbal. Revista Argentina de Ciencias del Comportamiento, 9(3), 44-59. https://revistas.unc.edu.ar/index.php/racc/article/view/17473

Hambleton, R. K. (2006). Good practices for identifying differential Item functioning. Medical Care, 44(11), S182-S188. https://doi.org/10.1097/01.mlr.0000245443.86671.c4

International Telecommunication Union (2021). Digital trends in the Americas region 2021. ITU Publications. https://www.itu.int/hub/publication/d-ind-dig_trends_ams-01-2021/#

Jiménez-Pérez, E., Barrientos-Báez, A., Domínguez, D. C., & Gómez-Galán, J. (2020). Influence of mothers’ habits on reading skills and emotional intelligence of university students: relationships in the social and educational context. Behavioral Sciences, 10(12), artículo 187. https://doi.org/10.3390/bs10120187

Kammerer, Y., Brand-Gruwel, S., & Jarodzka, H. (2018). The future of learning by searching the web: mobile, social, and multimodal. Frontline Learning Research, 6(2), 81–91. https://doi.org/10.14786/flr.v6i2.343

Ministerio de Educación y Formación Profesional (2018). Datos y principales indicadores del sistema educativo español. Consejo Escolar del Estado. https://www.educacionyfp.gob.es/dam/jcr:713cb2fc-1c9e-4861-90a6-048b44fd309b/i19cee-resumen-informe.pdf

Naumann, J., & Salmerón, L. (2016). Does navigation always predict performance? Effects of navigation on digital reading are moderated by comprehension skills. International Review of Research in Open and Distributed Learning, 17(1), 42-59. https://doi.org/10.19173/irrodl.v17i1.2113

Organisation for Economic Cooperation and Development (OECD). (2012). Closing the gender gap: Act now. OECD Publishing. http://dx.doi.org/10.1787/9789264179370-en

Organisation for Economic Cooperation and Development (OECD). (2014). Indicator A4: To what extent does parents’ education influence participation in tertiary education? En Education at a Glance 2014: OECD Indicators (pp. 84-100). OECD Publishing. https://doi.org/10.1787/eag-2014-9-en

Organisation for Economic Cooperation and Development (OECD). (2019) PISA 2018 Results (Volume I): What Students Know and Can Do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Organisation for Economic Cooperation and Development (OECD). (2021). 21st-Century Readers: Developing Literacy Skills in a Digital World, PISA. OECD Publishing. https://doi.org/10.1787/a83d84cb-en

Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2018). Media and Information Literacy. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000265509

Resolución 1047 de 2005 [Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET]. Por la cual se establece el Marco Ético de Referencia para las Investigaciones Biomédicas en Humanos. 1ro de julio de 2005. https://www.conicet.gov.ar/wp-content/uploads/OCR-RD-20050701-1047.pdf

Salmerón, L., García, A., & Vidal-Abarca, E. (2018). WebLEC: a test to assess adolescents' Internet reading literacy skills. Psicothema, 30(4), 388-394. http://doi.org/10.7334/psicothema2017.395

Salmerón, L., Strømsø, H.I., Kammerer, Y., Stadtler, M., & van den Broek, P. (2018). Comprehension processes in digital reading. En Barzillai, M., Thomson, J., Schroeder, S. & Van den Broek, P (Eds.), Learning to read in a digital world (pp. 91-120). John Benjamins Publishing Company. https://doi.org/10.1075/swll.17

Saux, G., Britt, A., Le Bigot, L., Vibert, N., Burin, D. I., & Rouet, J.-F. (2017). Conflicting but close: Readers’ integration of information sources as a function of their disagreement. Memory & Cognition, 45, 151-167. http://doi.org/10.3758/s13421-016-0644-5

Saux, G., Londra, F., Natalia, I., Burin, D. I., Britt, M. A., & Rouet, J.-F. (2018). Comprensión lectora y representación de múltiples fuentes de información en estudiantes universitarios. Revista Argentina de Ciencias del Comportamiento, 10(1), 66-75. https://revistas.unc.edu.ar/index.php/racc/article/view/18514

Secretaría de Evaluación e Información Educativa, Ministerio de Educación (2023). Argentina en Pisa Digital 2022. Informe de Resultados. Gobierno de la República Argentina. https://www.argentina.gob.ar/sites/default/files/argentina_en_pisa_digital_2022_vf.pdf

Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd