Examining common information technology addictions and their relationships with non-technology-related addictions

Computers in Human Behavior

Volumn 75, Issue , 2017, Pages 520-526

  Sigerson, Leif ^a   Li, Angel Y L ^a   Cheung, Mike W L ^b   Cheng, Cecilia ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Behavioral addiction; Cyber addiction; Information technology addiction; Internet addiction; Substance addiction

Indexed keywords

BEHAVIORAL RESEARCH; HUMAN COMPUTER INTERACTION;

BEHAVIORAL ADDICTION; COMMON FACTORS; CONCEPTUAL MODEL; CONFIRMATORY FACTOR ANALYSIS; CYBER ADDICTION; INTERNET ADDICTION; ONLINE SURVEYS; SUBSTANCE ADDICTION;

FACTOR ANALYSIS;

EID: 85019853120     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2017.05.041     Document Type: Article

References (63)

1. American Psychiatric Association, Diagnostic and statistical manual of mental disorders. 5th ed., 2013, American Psychiatric Association, Washington, DC.
2. Anderson, K.J., Internet use among college students: An exploratory study. Journal of American College Health 50 (2001), 21–26.
3. Anderson, M., Technology device ownership: 2015. 2015 Retrieved from http://www.pewinternet.org/2015/10/29/technology-device-ownership-2015.
4. Andreassen, C.S., Torsheim, T., Brunborg, G.S., Pallesen, S., Development of a Facebook addiction scale. Psychological Reports 110 (2012), 501–517.
5. Bian, M., Leung, L., Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review 33 (2015), 61–79.
6. Billieux, J., Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews 8 (2012), 299–307.
7. Bodine, A.J., A Monte Carlo investigation of fit statistic behavior in measurement models assessed using limited-and full-information estimation. Doctoral dissertation, 2015, The Ohio State University Retrieved from http://search.proquest.com/docview/1734474501?accountid=14548 (Order No. 3732290).
8. Brown, T.A., Confirmatory factor analysis for applied research. 2015, Guilford Publications, New York, NY.
9. Browne, M.W., Cudeck, R., Alternative ways of assessing model fit. Sociological Methods and Research 21 (1992), 230–258.
10. Buhrmester, M., Kwang, T., Gosling, S.D., Amazon's Mechanical Turk a new source of inexpensive, yet high-quality, data?. Perspectives on Psychological Science 6 (2011), 3–5.
11. Burnay, J., Billieux, J., Blairy, S., Larøi, F., Which psychological factors influence internet addiction? evidence through an integrative model. Computers in Human Behavior 43 (2015), 28–34.
12. Cheng, C., Li, A.Y.L., Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology, Behavior, and Social Networking 17 (2014), 755–760.
13. Cheng, C., Sun, P., Mak, K., Internet addiction and psychosocial maladjustment: Avoidant coping and coping inflexibility as psychological mechanisms. Cyberpsychology, Behavior, and Social Networking 18 (2015), 539–546.
14. Chou, C., Condron, L., Belland, J.C., A review of the research on Internet addiction. Educational Psychology Review 17 (2005), 363–388.
15. Demi̇rci̇, K., Akgönül, M., Akpinar, A., Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions 4 (2015), 85–92.
16. DiStefano, C., Morgan, G.B., A comparison of diagonal weighted least squares robust estimation techniques for ordinal data. Structural Equation Modeling 21 (2014), 425–438.
17. Ferris, J., Wynne, H., The Canadian problem gambling index. 2001, Canadian Centre on Substance Abuse, Ottawa, ON.
18. Fox, J., Warber, K.M., Social networking sites in romantic relationships: Attachment, uncertainty, and partner surveillance on Facebook. Cyberpsychology, Behavior, and Social Networking 17 (2014), 3–7.
19. Gil-Or, O., Levi-Belz, Y., Turel, O., The “Facebook-self”: Characteristics and psychological predictors of false self-presentation on Facebook. Frontiers in Psychology 6 (2015), 1–10.
20. Grant, J.D., Vergés, A., Jackson, K.M., Trull, T.J., Sher, K.J., Bucholz, K.K., Age and ethnic differences in the onset, persistence and recurrence of alcohol use disorder. Addiction 107 (2012), 756–765.
21. Harms, P.D., DeSimone, J.A., Caution! MTurk workers ahead—fines doubled. Industrial and Organizational Psychology 8 (2015), 183–190.
22. Hauser, D.J., Schwarz, N., Behavior Research Methods 48 (2015), 400–407.
23. Hutchinson, S.R., Olmos, A., Behavior of descriptive fit indexes in confirmatory factor analysis using ordered categorical data. Structural Equation Modeling 5 (1998), 344–364.
24. Igarashi, T., Motoyoshi, T., Takai, J., Yoshida, T., The text messaging addiction scale: Factor structure, reliability, and validity. Paper presented at sixth biennial conference of the Asian association of social psychology, Wellington, New Zealand, 2005, April.
25. Kuss, D.J., Griffiths, M.D., Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction 10 (2012), 278–296.
26. Kwon, M., Kim, D.J., Cho, H., Yang, S., The smartphone addiction scale: Development and validation of a short version for adolescents. PloS One, 8, 2013, e83558.
27. Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., et al. Development and validation of a smartphone addiction scale (SAS). PloS One, 8, 2013, e56936.
28. Lee, E.B., Too much information heavy smartphone and Facebook utilization by African American young adults. Journal of Black Studies 46 (2015), 44–61.
29. Lemmens, J.S., Valkenburg, P.M., Peter, J., The effects of pathological gaming on aggressive behavior. Journal of Youth and Adolescence 40 (2011), 38–47.
30. Leung, L., Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. CyberPsychology and Behavior 7 (2004), 333–348.
31. Lin, Y.H., Chang, L.R., Lee, Y.H., Tseng, H.W., Kuo, T.B., Chen, S.H., Development and validation of the smartphone addiction inventory (SPAI). PLoS One, 9, 2014, e98312.
32. Lopez-Fernandez, O., Short version of the smartphone addiction scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors 64 (2017), 275–280.
33. Lord, C., Bishop, S.L., Social policy report: Autism spectrum disorders. Diagnosis, prevalence, and services for children and families. Society for Research in Child Development 24 (2010), 1–27.
34. Meade, A.W., Craig, S.B., Identifying careless responses in survey data. Psychological Methods 17 (2012), 437–455.
35. Mok, J.Y., Choi, S.W., Kim, D.J., Choi, J.S., Lee, J., Ahn, H., et al. Latent class analysis on Internet and smartphone addiction in college students. Neuropsychiatric Disease and Treatment 10 (2014), 817–828.
36. Nye, C.D., Drasgow, F., Assessing goodness of fit: Simple rules of thumb simply do not work. Organizational Research Methods 14 (2010), 548–570.
37. Özdemir, Y., Kuzucu, Y., Ak, Ş., Depression, loneliness and internet addiction: How important is low self-control?. Computers in Human Behavior 34 (2014), 284–290.
38. Perrin, A., Social media usage: 2005-2015. 2015 Retrieved from http://www.pewinternet.org/2015/10/08/social-networking-usage-2005-2015/.
39. Pontes, H.M., Griffiths, M.D., Measuring DSM-5 internet gaming disorder: Development and validation of a short psychometric scale. Computers in Human Behavior 45 (2015), 137–143.
40. R Core Team, R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. 2015 Retrieved from https://www.R-project.org/.
41. Rosseel, Y., lavaan: An R package for structural equation modeling. Journal of Statistical Software 48 (2012), 1–36.
42. Ryan, T., Chester, A., Reece, J., Xenos, S., The uses and abuses of Facebook: A review of Facebook addiction. Journal of Behavioral Addictions 3 (2014), 133–148.
43. Sarda, E., Bègue, L., Bry, C., Gentile, D., Internet gaming disorder and well-being: A scale validation. Cyberpsychology, Behavior and Social Networking 19 (2016), 674–679.
44. Satici, S.A., Uysal, R., Well-being and problematic Facebook use. Computers in Human Behavior 49 (2015), 185–190.
45. Satorra, A., Bentler, P.M., Scaling corrections for chi-square statistics in covariance structure analysis. ASA 1988 proceedings of the business and economic statistics section (308–313), 1988, American Statistical Association, Alexandria, VA.
46. Saunders, J.B., Aasland, O.G., Babor, T.F., De la Fuente, J.R., Grant, M., Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction 88 (1993), 791–804.
47. Shapiro, D.N., Chandler, J., Mueller, P.A., Using Mechanical Turk to study clinical populations. Clinical Psychological Science 1 (2013), 213–220.
48. Sharma, A., Sahu, R., Kasar, P.K., Sharma, R., Internet addiction among professional courses students: A study from central India. International Journal of Medical Science and Public Health 3 (2014), 1069–1073.
49. Sigerson, Leif, Li, Angel Y.-L., Cheung, Mike W.-L., Luk, Jeremy W., Cheng, Cecilia, Psychometric properties of the Chinese Internet Gaming Disorder Scale. Addictive Behaviors 74 (November 2017), 20–26, 10.1016/j.addbeh.2017.05.031 ISSN 0306-4603.
50. Sim, T., Gentile, D.A., Bricolo, F., Serpelloni, G., Gulamoydeen, F., A conceptual review of research on the pathological use of computers, video games, and the internet. International Journal of Mental Health and Addiction 10 (2012), 748–769.
51. Sugawara, H.M., MacCallum, R.C., Effect of estimation method on incremental fit indexes for covariance structure models. Applied Psychological Measurement 17 (1993), 365–377.
52. Tanis, M., Beukeboom, C.J., Hartmann, T., Vermeulen, I.E., Phantom phone signals: An investigation into the prevalence and predictors of imagined cell phone signals. Computers in Human Behavior 51 (2015), 356–362.
53. Tokunaga, R.S., A unique problem or the manifestation of a preexisting disorder? the mediating role of problematic internet use in the relationships between psychosocial problems and functional impairment. Communication Research 41 (2014), 531–560.
54. Tozzi, L., Akre, C., Fleury-Schubert, A., Suris, J.C., Gambling among youths in Switzerland and its association with other addictive behaviours: A population-based study. Swiss Medical Weekly, 143, 2013, w13768.
55. U.S. Census Bureau, Age and sex composition:2010. 2011 Retrieved from http://www.census.gov/prod/cen2010/briefs/c2010br-03.pdf.
56. Weinstein, A., Dorani, D., Elhadif, R., Bukovza, Y., Yarmulnik, A., Dannon, P., Internet addiction is associated with social anxiety in young adults. Annals of Clinical Psychiatry 27 (2015), 4–9.
57. Weinstein, A., Lejoyeux, M., Internet addiction or excessive internet use. The American Journal of Drug and Alcohol Abuse 36 (2010), 277–283.
58. Yang-Wallentin, F., Jöreskog, K.G., Luo, H., Confirmatory factor analysis of ordinal variables with misspecified Models. Structural Equation Modeling 17 (2010), 392–423.
59. Yau, Y.H., Potenza, M.N., Gambling disorder and other behavioral addictions: Recognition and treatment. Harvard Review of Psychiatry 23 (2015), 134–146.
60. Young, K.S., Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior 1 (1998), 237–244.
61. Young, K., Internet addiction: Diagnosis and treatment considerations. Journal of Contemporary Psychotherapy 39 (2009), 241–246.
62. Yu, C.Y., Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral dissertation, 2002, University of California Los Angeles Retrieved from http://search.proquest.com/docview/276287121?accountid=14548 (Order No. 3066425).
63. Zimmerman, M., Mattia, J.I., Psychiatric diagnosis in clinical practice: Is comorbidity being missed?. Comprehensive Psychiatry 40 (1999), 182–191.