261
Views
2
CrossRef citations to date
0
Altmetric
Articles

Does Age Impact Text-Message Dependence?

Pages 199-207 | Received 15 Sep 2017, Accepted 05 Mar 2018, Published online: 14 May 2018

References

  • Ahn, M., Beamish, J. O., & Goss, R. C. (2008). Understanding older adults' attitudes and adoption of residential technologies. Family Consumer Science Research Journal, 36, 243–260. doi:10.1177/1077727X07311504
  • Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality data? Perspectives on Psychological Science, 6, 3–5. doi:10.1177/1745691610393980
  • Charness, N., & Boot, W. R. (2009). Aging and information technology use: Potential and barriers. Current Directions in Psychological Science, 18, 253–258. doi:10.1111/j.1467-8721.2009.01647.x
  • Chattat, R., Ellena, L., Cucinotta, D., Savorani, G., & Mucciarelli, G. (2001). A study on the validity of different short versions of the Geriatric Depression Scale. Archives of Gerontology and Geriatrics, 7, 81–86. doi:10.1016/S0167-4943(01)00124-8
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033-2909.112.1.155
  • Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology. Psychology & Aging, 21, 333–353. doi:10.1037/0882-7974.21.2.333
  • Ferraro, F. R., & Chelminski, I. (1996). Preliminary normative data on the Geriatric Depression Scale-Short Form (GDS-SF) in a young adult sample. Journal of Clinical Psychology, 52, 443–447. doi:10.1002/(SICI)1097-4679(199607)52:4%3c443::AID-JCLP9%3e3.0.CO;2-Q
  • Ferraro, F. R., Winger, A., Kreiger, M., Langseth, M., Weivioda, L., Palmiscno, J., Bishop, M., & Wulff, T. (2012). Text-message dependence, impulsivity, and executive function. In M. A. Cyders (Ed.), Psychology of impulsivity. Hauppauge, NY: Nova Science Publishers.
  • Ferraro, F. R., Wunderlich, L., Wyrobek, K., & Weivoda, L. (2014). Does iPod dependence relate to text-message dependence? Psychological Record, 64, 499–502. doi:10.1007/s40732-014-0036-9
  • Igarashi, T., Motoyoshi, T., Takai, J., & Yoshida, T. (2007). No mobile, no life: Self-perceptions and text message dependency among Japanese high school students. Computers in Human Behavior, 24, 2311–2324. doi:10.1016/j.chb.2007.12.001
  • Kamin, S. T., Lang, F. R., & Beyer, A. (2017). Subjective technology adaptivity predicts technology use in old age. Gerontology, 63, 385–392. doi:10.1159/000471802
  • Kim, J., Lee, H. Y., Christensen, C., & Merighi, J. R. (2017). Technology access and use, and their associations with social engagement among older adults: Do women and men differ? Journals of Gerontology: Social Sciences, 72, 836–845.
  • Kreiner, D. S., & Davis, D. L. (2011). Knowledge of text message abbreviations as a predictor of spelling ability. Perceptual & Motor Skills, 112, 295–309. doi:10.2466/13.28.PMS.112.1.295-309
  • Lu, X., Katoh, T., Chen, Z., Nagata, T., & Kitamura, T. (2014). Text messaging: Are dependency and excessive use discretely different for Japanese university students? Psychiatry Research, 216, 255–262. doi:10.1016/j.psychres.2013.12.024
  • Melenhorst, A.-S., & Bouwhuis, D. G. (2004). When do older adult consider the internet? An exploratory study of benefit perception. Gerontechnology, 3, 89–101. doi:10.4017/gt.2004.03.02.004.00
  • Myhre, J. W., Mehl, M. R., & Glisky, E. L. (2017). Cognitive benefits of online social networking for healthy older adults. Journals of Gerontology: Psychological Sciences, 72, 752–760.
  • Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J. M., & Wouters, E. J. M. (2016). Older adults' reasons for using technology while aging in place. Gerontology, 62, 226–237. doi:10.1159/000430949
  • Perea, M., Acha, J., & Carreiras, M. (2009). Eye movements when reading text messages (txt msgng). Quarterly Journal of Experimental Psychology, 62, 1560–1567. doi:10.1080/17470210902783653
  • Plaza, I., Martin, L., Martin, S., & Medrano, C. (2011). Mobile applications in an aging society: Status and trends. The Journal of Systems and Software, 84, 1977–1988. doi:10.1016/j.jss.2011.05.035
  • Roque, N. A., & Boot, W. A. (2016). A new tool for assessing mobile device proficiency in older adults. Journal of Applied Gerontology, 35, 1–26.
  • Salthouse, T. A. (1996). The processing theory of adult age differences in cognition. Psychological Bulletin, 103, 403–428.
  • Sansome, R. A., & Sansone, L. A. (2013). Cell phones: The psychological risks. Innovations in Clinical Neuroscience, 10, 33–37.
  • Sims, T., Reed, A. E., & Carr, D. C. (2017). Information and communication technology use is related to higher well-being among the oldest-old. Journals of Gerontology: Psychological Sciences, 72, 761–770.
  • Speilberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1983). Manual for State/trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
  • Walker, J., Crotty, B. H., O'Brien, J., Dierks, M. M., Lipsitz, L., & Safran, C. (2016). Addressing the challenges of aging: How elders and their care partners seek information. The Gerontologist, 54, 100–108.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.