Preliminary validation and gender invariance of the Technology Anxiety Scale in older Spanish adults

  1. Irene Checa-Esquiva
  2. María del Mar Aires-González
  3. Francisco J Cano-García
  4. María R Bueno-Moreno
Revista:
Clínica y salud: Investigación Empírica en Psicología

ISSN: 1130-5274

Año de publicación: 2023

Volumen: 34

Número: 3

Páginas: 111-116

Tipo: Artículo

DOI: 10.5093/CLYSA2023A9 DIALNET GOOGLE SCHOLAR

Otras publicaciones en: Clínica y salud: Investigación Empírica en Psicología

Resumen

RESUMEN Introducción: La ansiedad tecnológica es más prevalente en mayores y puede dificultar su funcionalidad en un mundo cada vez más tecnodependiente. No hay instrumentos validados para evaluarla en mayores españoles. Método: Se adaptó transculturalmente una escala de ansiedad tecnológica y se aplicó a 355 españoles (66% mujeres, M = 78,63, DT = 6,77). Se testaron dos modelos mediante análisis factorial confirmatorio: un modelo unidimensional (ansiedad tecnológica) y un modelo con dos factores correlacionados (miedo a la tecnología y confianza en la misma). Resultados: Ambos mostraron un ajuste adecuado, aunque mayor en el modelo de dos factores correlacionados (χ2 = 243,797, gl = 26, CFI = .969, TLI = .945, SRMR = .039). La validez concurrente se confirmó mediante correlaciones con bienestar psicológico, calidad de vida y satisfacción con la salud. También se verificó la invarianza de género configural, métrica y escalar. Conclusión: Los resultados confirman la validez preliminar de la Escala de Ansiedad Tecnológica en hombres y mujeres mayores españoles.

Referencias bibliográficas

  • Agogo, D,Hess, T. J.. (2018). How does tech make you feel?” A review and examination of negative affective responses to technology use. European Journal of Information Systems. 27. 570
  • Bisquerra, R,Pérez-Escoda, N.. (2015). ¿Pueden las escalas Likert aumentar en sensibilidad?. REIRE. Revista d'Innovació i Recerca En Educació. 8. 129
  • Brod, C.. (1982). Managing technostress: Optimizing the use of computer technology. Personnel Journal. 61. 753
  • Chen, F. F.. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal. 14. 464-504
  • Davidson, J.. (1998). Conquering change: Overcoming technology anxiety. Hoosier Banker. 82. 54
  • di Giacomo, D,Guerra, F,Perilli, E,Ranieri, J.. (2020). Technophobia as emerging risk factor in aging: Investigation on computer anxiety dimension. Health Psychology Research. 8.
  • di Giacomo, D,Ranieri, J,D'Amico, M,Guerra, F,Passafiume, D.. (2019). Psychological barriers to digital living in older adults: Computer anxiety as predictive mechanism for technophobia. Behavioral Sciences. 9. 96
  • Finney, S. J,DiStefano, C.. (2013). Structural equation modeling: A second course. IAP Information Age Publishing.
  • Fornell, C,Larcker, D. F.. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research. 18. 39-50
  • Hair, J. F.. (2010). Multivariate data analysis : A global perspective. Pearson.
  • Hambleton, R. K,Zenisky, A. L.. (2011). Cross-cultural research methods in psychology. Cambridge University Press.
  • Hou, J,Wu, Y,Harrell, E.. (2017). Reading on paper and screen among senior adults: Cognitive map and technophobia. Frontiers in Psychology. 8.
  • Hu, L. T,Bentler, P. M.. (1995). Structural equation modeling: Concepts, issues, and applications. Sage Publications, Inc.
  • Kenny, D. A,Kaniskan, B,McCoach, D. B.. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research. 44. 486-507
  • Khasawneh, O. Y.. (2018). Technophobia: Examining its hidden factors and defining it. Technology in Society. 54. 93-100
  • Kline, R. B.. (2016). Principles and practice of structural equation modeling. Guilford Press.
  • López-Bonilla, J. M,López-Bonilla, L. M.. (2012). Validation of an information technology anxiety scale in undergraduates. British Journal of Educational Technology. 43. 56
  • Loyd, B. H,Gressard, C.. (1984). Reliability and factorial validity of Computer Attitude Scales. Educational and Psychological Measurement. 44. 501
  • Lucas-Carrasco, R,Laidlaw, K,Power, M. J.. (2011). Suitability of the WHOQOL-BREF and WHOQOL-OLD for Spanish older adults. Aging & Mental Health. 15. 595-604
  • Marsh, H. W,Balla, J. R,Hau, K. T.. (1996). Advanced structural equation modeling: Issues and techniques. Lawrence Erlbaum Associates, Inc..
  • Martínez-Córcoles, M,Teichmann, M,Murdvee, M.. (2017). Assessing technophobia and technophilia: Development and validation of a questionnaire. Technology in Society. 51. 183
  • Masters, R.. (1967). The physician and the computer. Journal of Occupational and Environmental Medicine. 9. 38-40
  • McDonald, R. P.. (1999). Test theory: A unified treatment.. Lawrence Erlbaum Associates Publishers.
  • Meuter, M. L,Ostrom, A. L,Bitner, M. J,Roundtree, R.. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research. 56. 899-906
  • Mora Simón, S,García García, R,Perea Bartolomé, M. V,Ladera Fernández, V,Unzueta Arce, J,Patino Alonso, M. C,Rodríguez Sánchez, E.. (2012). Deterioro cognitivo leve: detección temprana y nuevas perspectivas. Revista de Neurología. 54. 303
  • Muñiz, J,Elosua, P,Hambleton, R. K.. (2013). Directrices para la traducción y adaptación de los tests (2nd ed.). Psicothema. 25. 151
  • Muthén, L. K,Muthén, B. O.. (2017). Mplus: Statistical analysis with latent variables: User's guide. Authors.
  • Niemelä-Nyrhinen, J.. (2007). Baby boom consumers and technology: Shooting down stereotypes. Journal of Consumer Marketing. 24. 305
  • Nimrod, G.. (2018). Technophobia among older Internet users. Educational Gerontology. 44. 148
  • Nimrod, G.. (2018). Technostress: measuring a new threat to well-being in later life. Aging & Mental Health. 22. 1086
  • Nimrod, G.. (2021). Not good days for technophobes: Older internet users during the COVID-19 pandemic. Educational Gerontology. 47. 160
  • Nimrod, G.. (2022). Technostress in a hostile world: older internet users before and during the COVID-19 pandemic. Aging and Mental Health. 26. 526
  • Özdemir-Güngör, D,Camgöz-Akdag, H.. (2018). Examining the effects of technology anxiety and resistance to change on the acceptance of breast tumor registry system: Evidence from Turkey. Technology in Society. 54. 66-73
  • Paschen, H,Gresser, K.. (1974). Some remarks and proposals concerning the planning and performance of technology assessment studies. Research Policy. 2. 306
  • Penado Abilleira, M,Rodicio-García, M. L,Ríos-de-Deus, M. P,Mosquera-González, M. J.. (2020). Technostress in Spanish university students: Validation of a measurement scale. Frontiers in Psychology. 11.
  • Pfaffinger, K. F,Reif, J. A. M,Huber, A. K,Eger, V. M,Dengler, M. K,Czakert, J. P,Spieß, E,Berger, R.. (2021). Digitalisation anxiety: Development and validation of a new scale. Discover Mental Health. 1. 1-14
  • Raub, A. C.. (1981). Correlates of computer anxiety in college students.. University of Pennsylvania.
  • Raykov, T.. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement. 21. 173
  • Raykov, T.. (2004). Behavioral scale reliability and measurement invariance evaluation using latent variable modeling. Behavior Therapy. 35. 299-331
  • Raykov, T,Marcoulides, G. A.. (2015). A direct latent variable modeling based method for point and interval estimation of coefficient alpha. Educational and Psychological Measurement. 75. 146
  • Ryff, C. D.. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology. 57. 1069
  • Salanova, M,Llorens, S,Ventura, M.. (2014). The impact of ICT on quality of working life. Springer.
  • Salazar-Concha, C,Ficapal-Cusí, P,Boada-Grau, J,Camacho, L. J.. (2021). Analyzing the evolution of technostress: A science mapping approach. Heliyon. 7. 06726
  • Taasoobshirazi, G,Wang, S.. (2016). The performance of the SRMR, RMSEA, CFI, and TLI: An examination of sample size, path size, and degrees of freedom. Journal of Applied Quantitative Methods. 11. 31
  • Tacy, J. W.. (2016). Technostress: A concept analysis. Online Journal of Nursing Informatics. 20.
  • Tams, S.. (2017). Information systems and neuroscience. Lecture notes in information systems and organisation. Springer.
  • Tarafdar, M,Cooper, C. L,Stich, J.-F.. (2019). The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal. 29. 6-42
  • Tsai, T.-H,Wen-Yen, L,Yung-Sheng, C,Po-Cheng, C,Ming-Yih, L.. (2020). Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults. PLoS One. 15.
  • Vega Alonso, T,Miralles Espí, M,Mangas Reina, J. M,Castrillejo Pérez, D,Rivas Pérez, A. I,Gil Costa, M,López Maside, A,Arrieta Antón, E,Lozano Alonso, J. E,Fragua Gil, M.. (2018). Prevalencia de deterioro cognitivo en España. Estudio Gómez de Caso en redes centinelas sanitarias. Neurología. 33. 491
  • Villar, F,Triadó, C,Celdrán, M,Solé, C.. (2010). Measuring well-being among Spanish older adults: Development of a simplified version of Ryff's Scales of Psychological Well-Being. Psychological Reports. 107. 265
  • Werts, C. E,Linn, R. L,Jöreskog, K. G.. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement. 34. 25-33
Fuente de los datos: Dialnet