The development of the Problematic Series Watching Scale (PSWS)

Journal of Behavioral Addictions

Volumn 5, Issue 1, 2016, Pages 144-150

  Orosz, Gábor ^a,b   Bothe, Beáta ^a   Tóth Király, István ^a  

^a EÖTVÖS LORÁND UNIVERSITY   (Hungary)

^b Research Centre for Natural Sciences Hungarian Academy of Sciences   (Hungary)

Author keywords

CFA; Problematic series watching scale; PSWS; Series watching; Six components model

Indexed keywords

ADULT; AGE; AGED; ARTICLE; ASSESSMENT OF HUMANS; CONTROLLED STUDY; EDUCATIONAL STATUS; ETHICS; FEMALE; GENDER; HUMAN; INTERNET; MALE; PROBLEMATIC SERIES WATCHING SCALE; RELIABILITY; TIME; ADOLESCENT; BEHAVIOR, ADDICTIVE; FACTOR ANALYSIS; HUNGARY; MIDDLE AGED; PSYCHOLOGICAL RATING SCALE; REPRODUCIBILITY; SEX DIFFERENCE; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; BEHAVIOR, ADDICTIVE; EDUCATIONAL STATUS; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; HUNGARY; INTERNET; MALE; MIDDLE AGED; PSYCHIATRIC STATUS RATING SCALES; REPRODUCIBILITY OF RESULTS; SEX FACTORS; YOUNG ADULT;

EID: 84966270785     PISSN: 20625871     EISSN: 20635303     Source Type: Journal    
DOI: 10.1556/2006.5.2016.011     Document Type: Article

References (44)

1. Andreassen, C. S., Griffiths, M. D., Hetland, J., & Pallesen, S. (2012). Development of a work addiction scale. Scandinavian Journal of Psychology, 3(53), 265-272. doi: 10.1111/j.1467-9450.2012.00947.x
2. Andreassen, C. S., Griffiths, M. D., Pallesen, S., Bilder, R. M., Torsheim, T., & Aboujaoude, E. (2015). The Bergen Shopping Addiction Scale: Reliability and validity of a brief screening test. Frontiers in Psychology, 6, 1374. doi: 10.3389/fpsyg. 2015.01374
3. Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook addiction scale. Psychological Reports, 110(2), 501-517. doi: 10.2466/02.09.18.PR0. 110.2.501-517
4. Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186-3191.
5. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. doi: 10.1037/0033-2909.107.2.238
6. Billieux, J., Schimmenti, A., Khazaal, Y., Maurage, P., & Heeren, A. (2015). Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Journal of Behavioral Addictions, 4(3), 119-123. doi: 10.1556/2006.4. 2015.009
7. Brown, T. A. (2015). Confirmatory factor analysis for applied research (second edition). New York, NY: Guilford Press.
8. Browne, M. V., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
9. Chóliz, M. (2015). The challenge of online gambling: The effect of legalization on the increase in online gambling addiction. Journal of Gambling Studies, Epub ahead of print. doi: 10.1007/s10899-015-9558-6
10. Clark, L. A., & Watson, D. (1995). Construct validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309-319. doi: 10.1037/1040-3590.7.3.309
11. Cooper, A. (1998). Sexuality and the Internet: Surfing into the new millennium. CyberPsychology & Behavior, 1(2), 187-193. doi: 10.1089/cpb.1998.1.187
12. Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29. doi: 10.1037/1082-989X.1.1.16
13. Demetrovics, Z., Urbán, R., Nagygyörgy, K., Farkas, J., Griffiths, M. D., Pápay, O., Kökönyei, Gy., Felvinczi, K., & Oláh, A. (2012). The development of the problematic online gaming questionnaire (POGQ). PLoS One, 7(5), e36417. doi: 10.1371/journal.pone.0036417
14. Do, Y. K., Shin, E., Bautista, M. A., & Foo, K. (2013). The associations between self-reported sleep duration and adolescent health outcomes: What is the role of time spent on Internet use? Sleep Medicine, 14(2), 195-200. doi: 0.1016/j.sleep. 2012.09.004
15. Griffiths, M. (2000). Internet addiction-time to be taken seriously? Addiction Research & Theory, 8(5), 413-418. doi: 10.3109/16066350009005587
16. Griffiths, M. (2005). A 'components' model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. doi: 10.1080/14659890500114359
17. Griffiths, M., & Barnes, A. (2008). Internet gambling: An online empirical study among student gamblers. International Journal of Mental Health and Addiction, 6(2), 194-204. doi: 10.1007/s11469-007-9083-7
18. Griffiths, M. D. (1999). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428-429.
19. Grøntved, A., Ried-Larsen, M., Møller, N. C., Kristensen, P. L., Wedderkopp, N., Froberg, K., Hu, F. B., Ekelund, U., & Andersen, L. B. (2014). Youth screen-time behaviour is associated with cardiovascular risk in young adulthood: The European Youth Heart Study. European Journal of Preventive Cardiology, 21(1), 49-56. doi: 10.1177/2047487312454760
20. Grubbs, J. B., Sessoms, J., Wheeler, D. M., & Volk, F. (2010). The Cyber-Pornography Use Inventory: The development of a new assessment instrument. Sexual Addiction & Compulsivity, 17(2), 106-126. doi: 10.1080/10720161003776166
21. Grüsser, S. M., Thalemann, R., & Griffiths, M. D. (2006). Excessive computer game playing: Evidence for addiction and aggression? CyberPsychology & Behavior, 10(2), 290-292. doi: 10.1089/cpb.2006.9956
22. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. doi: 10.1080/10705519909540118
23. Hungarian Central Statistical Office. (2011). A 15-74 éves népesség napi idöfelhasználása, 2010 [Time-use of the population aged between 15 and 74 in 2010]. Statisztikai Tükör, 5(87), 1-4. Retrieved on October 22, 2015 from http://www.ksh.hu/docs/hun/xftp/stattukor/idomerleg10.pdf
24. Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., & Yen, C. F. (2005). Proposed diagnostic criteria of Internet addiction for adolescents. The Journal of Nervous and Mental Disease, 193(11), 728-733.
25. Kor, A., Zilcha-Mano, S., Fogel, Y. A., Mikulincer, M., Reid, R. C., & Potenza, M. N. (2014). Psychometric development of the Problematic Pornography Use scale. Addictive Behaviors, 39(5), 861-868. doi: 10.1016/j.addbeh.2014.01.027
26. Lo, S. K., Wang, C. C., & Fang, W. (2005). Physical interpersonal relationships and social anxiety among online game players. CyberPsychology & Behavior, 8(1), 15-20. doi: 10.1089/cpb.2005.8.15
27. Maráz, A., Király, O., & Demetrovics, Z. (2015). Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research: The diagnostic pitfalls of surveys: If you score positive on a test of addiction, you still have a good chance not to be addicted. Journal of Behavioral Addictions, 4(3), 151-154. doi: 10.1556/2006.4.2015.026
28. Maráz, A., Urbán, R., Griffiths, M. D., & Demetrovics, Z. (2015). An empirical investigation of dance addiction. PLoS ONE, 10(5), e0125988. doi: 10.1371/journal.pone.0125988
29. Mentzoni, R. A., Brunborg, G. S., Molde, H., Myrseth, H., Skouverøe, K. J. M., Hetland, J., & Pallesen, S. (2011). Problematic video game use: Estimated prevalence and associations with mental and physical health. Cyberpsychology, behavior, and social networking, 14(10), 591-596. doi: 10. 1089/cyber.2010.0260
30. Muthén, L. K., & Muthén, B. O. (1998-2012). Mplus user's guide. Seventh edition. Los Angeles, CA: Muthén & Muthén.
31. Netflix Media Center. (2013). Netflix declares binge watching is the new normal. Retrieved on June 9, 2015 from https://pr. netflix.com/WebClient/getNewsSummary.donewsId=496
32. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
33. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed). New York: McGraw-Hill.
34. Osburn, H. G. (2000). Coefficient alpha and related internal consistency reliability coefficients. Psychological Methods, 5(3), 343-355. doi: 10.1037/1082-989X.5.3.343
35. Pontes, H. M., Szabó, A., & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25. doi: 10.1016/j.abrep.2015.03.002
36. Ryan, T., Chester, A., Reece, J., & Xenos, S. (2014). The uses and abuses of Facebook: A review of Facebook addiction. Journal of Behavioral Addictions, 3(3), 133-148. doi: 10.1556/JBA. 3.2014.016
37. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
38. Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika, 74(1), 107-120. doi: 10.1007/s11336-008-9101-0
39. Sussman, S., & Moran, M. B. (2013). Hidden addiction: Television. Journal of Behavioral Addictions, 2(3), 125-132. doi: 10.1556/JBA.2.2013.008
40. Tremblay, M. S., LeBlanc, A. G., Kho, M. E., Saunders, T. J., Larouche, R., Colley, R. C., Goldfield, G., & Gorber, S. C. (2011). Systematic review of sedentary behaviour and health indicators in school-aged children and youth. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 98. doi: 10.1186/1479-5868-8-98
41. Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. West Sussex, UK: John Wiley & Sons.
42. Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181-188. doi: 10.1016/j.chb.2015.07.005
43. Yellowlees, P. M., & Marks, S. (2007). Problematic Internet use or Internet addiction? Computers in Human Behavior, 23(3), 1447-1453. doi: 10.1016/j.chb.2005.05.004
44. Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior, 1(3), 237-244. doi: 10.1089/cpb.1998.1.237