Why Age Is Not that Important? An Ageing Perspective on Computer Anxiety

  • Mireia Fernández-ArdèvolEmail author
  • Loredana Ivan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9193)


We analyze the influence of age on mobile computer anxiety in a sample of 158 individuals 55+ by means of path analysis modeling. Taking as the endogenous variable a mobile computer anxiety scale (MCAS, Wang 2007), models include demographic and socioeconomic variables and a computer experience scale – based on the familiarity and frequency of use of different information and communication technologies. Results confirm a positive influence of age on mobile computer anxiety which is mediated by both socio-economic variables and computer experience. The influence of age on mobile computer anxiety is comparatively low. Age is not the relevant dimension to explain computer anxiety, as socio-economic background and computer experience have higher explanatory capacity. This result may explain the inconsistent results regarding the direct relationship between age and computer anxiety available in the literature.


Older people Computer anxiety Romania Survey Path analysis MCMC bayesian estimation 


  1. 1.
    Chien, T.-C.: Factors influencing computer anxiety and its impact on E-Learning effectiveness: a review of literature. Presented at the Academy of Human Resource Development International Research Conference in the Americas (Panama City, FL, Feb 20–24, 2008), 20 February 2008Google Scholar
  2. 2.
    Rosen, L.D., Whaling, K., Carrier, L.M., Cheever, N.A., Rokkum, J.: The media and technology usage and attitudes scale: an empirical investigation. Comput. Hum. Behav. 29, 2501–2511 (2013)CrossRefGoogle Scholar
  3. 3.
    O’Driscoll, M.P., Brough, P., Timms, C., Sawang, S.: Engagement with information and communication technology and psychological well-being. Res. Occup. Stress Well-being 8, 269–316 (2010)CrossRefGoogle Scholar
  4. 4.
    Beckers, J.J., Schmidt, H.G., Wicherts, J.: Computer anxiety in daily life: old history? In: Loos, E., Mante-Meijer, E., Haddon, L. (eds.) The Social Dynamics of Information and Communication Technology, pp. 13–23. Ashgate, Aldershot (2008)Google Scholar
  5. 5.
    Kay, R.H., Loverock, S.: Assessing emotions related to learning new software: The computer emotion scale. Comput. Hum. Behav. 24, 1605–1623 (2008)CrossRefGoogle Scholar
  6. 6.
    Powell, A.L.: Computer anxiety: Comparison of research from the 1990 s and 2000s. Comput. Hum. Behav. 29, 2337–2381 (2013)CrossRefGoogle Scholar
  7. 7.
    Wang, Y.-S.: Development and validation of a mobile computer anxiety scale. Brit. J. Educ. Technol. 38, 990–1009 (2007)CrossRefGoogle Scholar
  8. 8.
    Heinssen Jr., R.K., Glass, C.R., Knight, L.A.: Assessing computer anxiety: development and validation of the computer anxiety rating scale. Comput. Hum. Behav. 3, 49–59 (1987)CrossRefGoogle Scholar
  9. 9.
    Loos, E., Mante-Meijer, E., Haddon, L. (eds.): The Social Dynamics of Information and Communication Technology. Ashgate, Aldershot (2008)Google Scholar
  10. 10.
    Loos, E., Haddon, L., Mante-Meijer, E. (eds.): Generational Use of New Media. Ashgate, Farnham (2012)Google Scholar
  11. 11.
    Haddon, L., Silverstone, R.: University of Sussex., Centre for Information and Communication Technologies., University of Sussex., science policy research unit.: Information and communication technologies and the young elderly: a report of the ESRC/PICT study of the household and information and communication technologies. Science Policy Research Unit, University of Sussex, Brighton (1996)Google Scholar
  12. 12.
    Bozionelos, N.: Socio-economic background and computer use: the role of computer anxiety and computer experience in their relationship. Int. J. Hum.-Comput. Stud. 61, 725–746 (2004)CrossRefGoogle Scholar
  13. 13.
    Dyck, J.L., Smither, J.A.-A.: Older adults’ acquisition of word processing: the contribution of cognitive abilities and computer anxiety. Comput. Hum. Behav. 12, 107–119 (1996)CrossRefGoogle Scholar
  14. 14.
    Laguna, K., Babcock, R.L.: Computer anxiety in young and older adults: Implications for human-computer interactions in older populations. Comput. Hum. Behav. 13, 317–326 (1997)CrossRefGoogle Scholar
  15. 15.
    Wild, K.V., Mattek, N.C., Maxwell, S.A., Dodge, H.H., Jimison, H.B., Kaye, J.A.: Computer-related self-efficacy and anxiety in older adults with and without mild cognitive impairment. Alzheimer’s Dementia 8, 544–552 (2012)CrossRefGoogle Scholar
  16. 16.
    Fuller, R.M., Vician, C., Brown, S.A.: E-learning and individual characteristics: the role of computer anxiety and communication apprehension. J. Comput. Inf. Syst. 46, 103–115 (2006)Google Scholar
  17. 17.
    Richardson, M., Zorn, T.E., Weaver, C.K.: Older people and new communication technologies. Narratives from the literature. In: Salmon, C.T. (ed.) Communication Yearbook 35, pp. 121–154. Taylor and Francis, London (2011)Google Scholar
  18. 18.
    Kim, Y.S.: Reviewing and critiquing computer learning and usage among older adults. Educ. Gerontol. 34, 709–735 (2008)CrossRefGoogle Scholar
  19. 19.
    Marquié, J.C., Jourdan-Boddaert, L., Huet, N.: Do older adults underestimate their actual computer knowledge? Behav. Inf. Technol. 21, 273–280 (2002)CrossRefGoogle Scholar
  20. 20.
    Bennett, J.: Online communities and the activation, motivation and integration of persons aged 60 and older. A literature review. Version 1.1 (2011)Google Scholar
  21. 21.
    Oudshoorn, N., Pinch, T.J. (eds.): How Users Matter: The Co-construction of Users and Technologies. The MIT Press, Cambridge (Mass.) (2003)Google Scholar
  22. 22.
    Silverstone, R., Hirsch, E. (eds.): Consuming Technologies, Media and Information in Domestic Spaces. Routledge, London (1992)Google Scholar
  23. 23.
    Chang, S.E.: Computer anxiety and perception of task complexity in learning programming-related skills. Comput. Hum. Behav. 21, 713–728 (2005)CrossRefGoogle Scholar
  24. 24.
    Fagan, M., Neill, S., Wooldridge, B.: An empirical investigation into the relationship between computer self-efficacy, anxiety, experience, support and usage. J. Comput. Inf. Syst. 44, 95–104 (2003)Google Scholar
  25. 25.
    Tekinarslan, E.: Computer anxiety: a cross-cultural comparative study of Dutch and Turkish university students. Comput. Hum. Behav. 24, 1572–1584 (2008)CrossRefGoogle Scholar
  26. 26.
    King, J., Bond, T., Blandford, S.: An investigation of computer anxiety by gender and grade. Comput. Hum. Behav. 18, 69–84 (2002)CrossRefGoogle Scholar
  27. 27.
    Bozionelos, N.: Computer anxiety: relationship with computer experience and prevalence. Comput. Hum. Behav. 17, 213–224 (2001)CrossRefGoogle Scholar
  28. 28.
    Chua, S.L., Chen, D.-T., Wong, A.F.L.: Computer anxiety and its correlates: a meta-analysis. Comput. Hum. Behav. 15, 609–623 (1999)CrossRefGoogle Scholar
  29. 29.
    Institutul National de Statistica: Romania in Cifre 2012. Sinteze (2012).
  30. 30.
    Bollen, K.A.: Structural Equation Models with Latent Variables. Wiley-Interscience, New York (1989)Google Scholar
  31. 31.
    Kline, R.B.: Principles and Practice of Structural Equation Modeling. Guilford Press, New York (2005)zbMATHGoogle Scholar
  32. 32.
    Lee, S.-Y.: Structural Equation Modeling: A Bayesian Approach. Wiley, Chichester (2007)CrossRefGoogle Scholar
  33. 33.
    Marcoulides, G.A.: Measuring computer anxiety: the computer anxiety scale. Educ. Psychol. Measur. 49, 733–739 (1989)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.IN3Open University of CataloniaCastelldefelsSpain
  2. 2.Communication DepartmentNational School of Political Studies and Public Administration (SNSPA)BucharestRomania

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