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Emily Petty Dr. Kelly G. Odenweller

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1 Emily Petty Dr. Kelly G. Odenweller
Uses and Gratifications, Attitudes, and Willingness to Learn Computer Mediated Communication Emily Petty Dr. Kelly G. Odenweller

2 Uses and Gratifications (and cmc)
Uses and Gratifications Theory Computer-Mediated Communication Affective Cognitive Personal Integrative Social Integrative Tension Free Entertainment Information Gathering Sharing personal stories Belonging to friendships/groups Escape from reality H1: Facebook users use Facebook to maintain relationships. H2: Young adult Facebook users are more likely to use Facebook and social media for escapism than older adults are. H3: Facebook users of all ages use the website as a news source.

3 Attitudes and CMC Problem: outdated studies
Older adults circa 2004: 46.4% avid Internet users (over 20 hours/week) (Eastman & Iyer, 2004) Older adults 2015: positive attitude toward mobile phones/smart phones (Vincent & Lopes, 2015) Attitude is a predictor of positive/negative response to social media (Ledbetter, A., Mazer, J., DeGroot, J., Meyer, K., Mao, Y., & Swafford, B. (2011) H4: Participants who find more enjoyment from Facebook use will report more favorable attitudes toward the website.

4 Willingness to Learn and Cmc
Self confidence Faith in one’s own ability to learn and use something new Venturousness Willingness to try something new Obstacles to Learning Websites constantly updating New forms of CMC emerging Not all updates work H5: Participants’ willingness to learn will be positively connected to positive attitudes toward the Internet and technology.

5 The Method Online questionnaire 109 Participants
Uses and Gratifications Scale 27 Likert-type questions (Papacharissi & Mendelson, 2011; Papacharissi & Rubin, 2000) Attitudes instrument 25 statement Likert-type scale (Papacharissi & Rubin, 2000) Willingness to Learn 3 point Likert-type scale (Reynolds, 1974) 109 Participants Active Facebook users 32 Male, 77 Female Age: years-old

6 Results H1: Facebook users use Facebook to maintain relationships.
SUPPORTED (Social: M = 4.38, SD = .91; Affective: M = 4.87, SD = .94) H2: Young adult Facebook users are more likely to use Facebook and social media for escapism than older adults are. NOT SUPPORTED (t[25] = 1.73, p =.10) H3: Facebook users of all ages use the website as a news source. SUPPORTED (Cognitive: M = 4.35, SD = 1.09) H4: Participants who find more enjoyment from Facebook use will report more favorable attitudes toward the website. SUPPORTED (Affective: r = .31, p < .01; Tension free: r = .32, p < .01) H5: Participants’ willingness to learn will be positively connected to positive attitudes toward the Internet and technology. NOT SUPPORTED (r = .12, p = .21) SURPRISE FINDING: Negative relationship between age and number of social media sites used

7 Significance Gap in research centered around older adults and computer-mediated communication Younger people are more likely to use more than one social media site Older adults and young adults use social media for the same purposes

8 Acknowledgements Thanks to all the participants, without whom this study would not have been possible! Thanks to the ISU Communications Faculty for the preparation and support for this capstone project! Thank you to Professor Kelly Odenweller for all the knowledge and support throughout this project!

9 References Aakhus, M., & Rumsey, E. (2010). Crafting Supportive Communication online: a communication design analysis of conflict in an online support group. Journal of Applied Communication Research, Caron, J., & Light, J. (2016). Social media has opened a world of 'open communication:' Experiences of adults with cerebreal palsy who use augmentative and alternative communication and social media. Augmentative and Alternative Communication, Communication Theory. (2010). Uses and Gratifications Theory. Retrieved from Communication Theory: Eastman, J. K., & Iyer, R. (2004). The elderly’s uses and attitudes towards the Internet. Journal of Consumer Marketing, Facebook, Inc. (2016). Stats. Menlo Park, California, USA. GeoHive. (2013, July). Population by age groups. Retrieved from GeoHive: Goldsmith, R. E., & Goldsmith, E. B. (2000). Buying apparel over the Internet. Journal of Product and Branch Management, Hermida, A., Fletcher, F., Korell, D., & Logan, D. (2012). Share, like recommend: Decoding the social media news consumer. Journalism Studies, Ifindeo, P. (2015). Applying uses and gratifications theory and social influence processes to understand students' pervasive adoptino of social networking sites: Perspectives from the Americas. International Journal of Information Management, Kanayama, T. (2003). Ethnographic research on the experience of Japanese elderly people online. New Media & Society, Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, LaRose, R., & Eastin, M. S. (2004). A Social Cognitive Theory of Internet Uses. Journal of Broadcasting and Electronic Media, 377. Ledbetter, A., Mazer, J., DeGroot, J., Meyer, K., Mao, Y., & Swafford, B. (2011). Attitudes toward online social connection and self-disclosure as predictors of Facebook communication and relational closeness. Communication Research, Leiner, B., Cerf, V., Clark, D. D., Kahn, R., Kleinrock, L., Lynch, D., Wolff, S. (2009). A brief history of the Internet. Computer Communication Review, Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 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, Papacharissi, Z., & Mendelson, A. (2011). Toward a new(er) sociability: Uses, gratifications, and social capital on Facebook. In S. Papathanasspoulos, Media perspectives for the 21st century (pp ). New York: Routeledge. Papacharissi, Z., & Rubin, A. M. (2000). Predictors of internet use. Journal of Broadcasting and Electronic Media, 175. Peral-Peral, B., Arenas-Gaitan, J., & Villarejo-Ramos, A. (2015). From digital divide to psycho-digital divide: Elders and online social networking. Comunicar, Rains, S., Peterson, E., & Wright, K. (2015). Communicating Social Support in Computermediated Contexts: A Meta-analytic Review of content analyses ecamining support messages shared online among individuals coping with illness. Communication Monographs, Reynolds, F. D. (1974). An analysis of catalog buying behavior. Journal of Marketing, Sanchez, M., Kaplan, M., & Bradley, L. (2015). Usnig technology to connect generations: some considerations of form and function. Media Education Research Journal, Tsai, T., & Chang, H. H. (2016). Perceptions of a Specific Family communication application among grandparents and grandchildren: An extension of the technology acceptance model. Plos One, doi: /journal. Vincente, P., & Lopes, I. (2016). Attitudes of older mobile phone users toward mobile phones. Journal of Communication Research,


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