1,187
Views
29
CrossRef citations to date
0
Altmetric
Original Article

Life satisfaction moderates the associations between motives and excessive social networking site usage

, , &
Pages 450-457 | Received 14 Jan 2016, Accepted 27 Feb 2016, Published online: 29 Mar 2016

References

  • Aiken LS, West SG, Reno RR. 1991. Multiple regression: Testing and interpreting interactions. Sage.
  • Andreassen CS, Torsheim T, Brunborg GS, Pallesen S. 2012. Development of a facebook addiction scale. Psychol Rep. 110:501–517.
  • Beard KW, Wolf EM. 2001. Modification in the proposed diagnostic criteria for Internet addiction. CyberPsychol Behav. 4:377–383.
  • Billieux J, Schimmenti A, Khazaal Y, Maurage P, Heeren A. 2015. Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. J Behav Addict. 4:119–123.
  • Bozoglan B, Demirer V, Sahin I. 2013. Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: a cross-sectional study among Turkish university students. Scand J Psychol. 54:313–319.
  • Caplan SE. 2010. Theory and measurement of generalized problematic Internet use: a two-step approach. Comput Human Behav. 26:1089–1097.
  • Chen HT, Kim Y. 2013. Problematic use of social network sites: the interactive relationship between gratifications sought and privacy concerns. Cyberpsychol Behav Soc Netw. 16:806–812.
  • Cheng C, Li AY. 2014. Internet addiction prevalence and quality of (real) life: a meta-analysis of 31 nations across seven world regions. Cyberpsychol Behav Soc Netw 17:755–760.
  • China Internet Network Information Center (CNNIC). 2015. 35th Statistical report on Internet. [Cited 2015 March 9] Available from: http://www.cnnic.net.cn/gywm/xwzx/rdxw/2015/201502/t20150203_51631.htm.
  • Cock R. De, Vangeel J, Klein A, Minotte P, Rosas O, Meerkerk GJ. 2013. Compulsive use of social networking sites in Belgium: prevalence, profile, and the role of attitude toward work and school. Cyberpsychol Behav Soc Netw 17:166–171.
  • Cohen J, Cohen P, West SG, Aiken LS. 2003. Applied multiple regression/correlation analysis for behavioral sciences. Mahwah, NJ: Lawrence Erlbaum.
  • Griffiths M. (2013). Social networking addiction: emerging themes and issues. J Addict Res Ther 4:4–5.
  • Griffiths M, van Rooij A, Kardefelt-Winther D, Starcevic V, Kiraly O, Pallesen S, Muller K, Dreier M, Carras M, Prause N, et al. 2016. Working towards an international consensus on criteria for assessing Internet gaming disorder: a critical commentary on Petry et al. (2014). Addiction. 111:167–175.
  • Diener E, Emmons RA, Larsen RJ, Griffin S. 1985. The satisfaction with life scale. J Pers Assess. 49:71–75.
  • Ellison NB, Steinfield C, Lampe C. 2007. The benefits of Facebook “friends”: Social capital and college students’ use of online social network sites. J Comput Mediat Commun. 12:1143–1168.
  • Floros G, Siomos K. 2013. The relationship between optimal parenting, Internet addiction and motives for social networking in adolescence. Psychiatry Res. 209:529–534.
  • Foregger SK. 2008. Uses and Gratifications of Facebook.com. ProQuest. Available from: http://books.google.com/books/about/Uses_and_Gratifications_of_Facebook_com.html?id=0idbf365YBkC&pgis=1.
  • Fornell C, Larcker DF. 1981. Evaluating structural equation models with unobservable variables and measurement error. J Marketing Res. 18:382–388.
  • Hair JF, Black WC, Babin BJ, Anderson RE. 2006. Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall.
  • Jenaro C, Flores N, Gómez-Vela M, González-Gil F, Caballo C. 2007. Problematic internet and cell-phone use: psychological, behavioral, and health correlates. Addict Res Theory. 15:309–320.
  • Kaltiala-Heino R, Lintonen T, Rimpelä A. 2004. Internet addiction? Potentially problematic use of the Internet in a population of 12–18 year-old adolescents. Addict Res Theory. 12:89–96.
  • Kardefelt-Winther D. 2014a. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput Human Behav 31:351–354.
  • Kardefelt-Winther D. 2014b. Problematizing excessive online gaming and its psychological predictors. Comput Human Behav. 31:118–122.
  • Kardefelt-Winther D. 2014c. The moderating role of psychosocial well-being on the relationship between escapism and excessive online gaming. Comput Human Behav 38:68–74.
  • Kardefelt-Winther D. 2015. Excessive Internet use-fascination or compulsion? (PhD thesis). London: The London School of Economics and Political Science.
  • Kardefelt-Winther D. 2015. A critical account of DSM-5 criteria for internet gaming disorder. Addict Res Theory. 23:93–98.
  • Katz E, Blumler JG, Gurevitch M. 1974. Utilization of mass communication by the individual. In Blumer JG, Katz E, editors. The uses of mass communications: Current perspectives on gratifications research. Beverly Hills (CA): Sage; p. 19–32.
  • Kirschner PA, Karpinski AC. 2010. Facebook and academic performance. Comput Human Behav. 26:1237–1245.
  • Kuss DJ, Griffiths MD. 2011. Online social networking and addiction-A review of the psychological literature. Int J Environ Res Publ Health. 8:3528–3552.
  • Mabe AG, Forney KJ, Keel PK. 2014. Do you “like” my photo? Facebook use maintains eating disorder risk. Int J Eat Disorder. 47:516–523.
  • Malhotra NK, Dash S. 2011. Marketing research: an applied orientation (Paperback). London: Pearson Publishing.
  • Muise A, Christofides E, Desmarais S. 2009. More information than you ever wanted: does facebook bring out the green-eyed monster of jealousy? CyberPsychol Behav. 12:441–444.
  • Nyland R, Marvez R, Beck, J. 2007. MySpace: Social networking or social isolation? Paper presented at the midwinter conference of the Association for Education in Journalism and Mass Communication, Reno, NV.
  • Oliveira MJ De, Huertas MKZ. 2015. Does life satisfaction influence the intention (We-Intention) to use facebook? Comput Human Behav. 50:205–210.
  • Pantic I. 2014. Online social networking and mental health. Cyberpsychol Behav Social Netw. 17:652–657.
  • Park N, Kee KF, Valenzuela S. 2009. Being immersed in social networking environment: facebook groups, uses and gratifications, and social outcomes. Cyberpsychol Behav. 12:729–733.
  • Rae JR, Lonborg SD. 2015. Do motivations for using facebook moderate the association between facebook use and psychological well-being? Front Psychol. 6:1–9.
  • Ryan T, Chester A, Reece J, Xenos S. 2014. The uses and abuses of facebook: a review of facebook addiction. J Behav Addict. 3:133–148.
  • Sampasa-Kanyinga H, Lewis RF. 2015. Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychol Behav Soc Netw. 18:380–385.
  • Satici SA, Uysal R. 2015. Well-being and problematic facebook use. Comput Human Behav. 49:185–190.
  • Sheldon P. 2008. The relationship between unwillingness-to-communicate and students’ facebook use. J Media Psychol. 20:67–75.
  • Song I, LaRose R, Eastin MS, Lin CA. 2004. Internet gratifications and internet addiction: on the uses and abuses of new media. Cyberpsychol Behav. 7:384–394.
  • Statista. 2015. Number of Facebook users in the United States as of January 2015, by age group (in millions). [cited 2015 Aug 20]. Available from: http://www.statista.com//statistics/398136/us-facebook -user-age-groups/.
  • Valkenburg PM, Peter J, Schouten AP. 2006. Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. CyberPsychol Behav. 9:584–590.
  • Wan C. 2009. Gratifications & loneliness as predictors of campus-SNS websites addiction & usage pattern among Chinese college students [master thesis]. Hong Kong: The Chinese University of Hong Kong.
  • Wang JL, Jackson LA, Gaskin J, Wang HZ. 2015. The effects of social networking site (SNS) use on college students’ friendship and well-being. Comput Human Behav. 37:229–236.
  • Wang JL, Wang HZ, Gaskin J, Wang LH. 2015. The role of stress and motivation in problematic smartphone use among college students. Comput Human Behav 53:181–188.
  • Wang L, Luo J, Bai Y, Kong J, Luo J, Gao W, Sun X. 2013. Internet addiction of adolescents in China: prevalence, predictors, and association with well-being. Addict Res Theory. 21:62–69.
  • Zhou SX. 2010. Gratifications, loneliness, leisure boredom and self-esteem as predictors of SNS-game addiction and usage pattern among Chinese college students [master thesis]. Hong Kong: The Chinese University of Hong Kong.

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.