Psychometric validation of the Persian nine-item Internet Gaming Disorder Scale - Short Form: Does gender and hours spent online Gaming affect the interpretations of item descriptions?

Journal of Behavioral Addictions

Volumn 6, Issue 2, 2017, Pages 256-263

  Wu, Tzu Yi ^a   Lin, Chung Ying ^b   Årestedt, Kristofer ^c   Griffiths, Mark D ^d   Broström, Anders ^f   Pakpour, Amir H ^e,f  

^a INSTITUTE OF ECONOMICS   (Taiwan)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c LINNAEUS UNIVERSITY   (Sweden)

^d NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^e QAZVIN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^f JÖNKÖPING UNIVERSITY   (Sweden)

Author keywords

Adolescence; Confirmatory factor analysis; Differential item functioning; Internet Gaming Disorder; Measurement invariance; Rasch analysis

Indexed keywords

ADOLESCENT; ANXIETY; ARTICLE; CONSTRUCT VALIDITY; DEPRESSION; DEPRESSION ANXIETY STRESS SCALE; FACTOR ANALYSIS; FEMALE; GAME ADDICTION; HUMAN; INTERNAL CONSISTENCY; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE ASSESSMENT; MENTAL STRESS; NINE ITEM INTERNET GAMING DISORDER SCALE SHORT FORM; PSYCHOMETRY; RASCH ANALYSIS; TEST RETEST RELIABILITY; ADDICTION; CHILD; INTERNET; IRAN; PSYCHOLOGICAL RATING SCALE; PSYCHOLOGY; SEX FACTOR; TIME FACTOR; VALIDATION STUDY; VIDEO GAME; YOUNG ADULT;

ADOLESCENT; ANXIETY; BEHAVIOR, ADDICTIVE; CHILD; DEPRESSION; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; INTERNET; IRAN; MALE; PSYCHIATRIC STATUS RATING SCALES; PSYCHOMETRICS; SEX FACTORS; STRESS, PSYCHOLOGICAL; TIME FACTORS; VIDEO GAMES; YOUNG ADULT;

EID: 85021629696     PISSN: 20625871     EISSN: 20635303     Source Type: Journal    
DOI: 10.1556/2006.6.2017.025     Document Type: Article

References (32)

1. American Psychiatric Association [APA]. (2013). Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association.
2. Asghari, A., Saed, F., & Dibajnia, P. (2008). Psychometric properties of the Depression Anxiety Stress Scales-21 (DASS-21) in a non-clinical Iranian sample. International Journal of Psychology, 2(2), 82-102.
3. Bagheri, Z., Jafari, P., Tashakor, E., Kouhpayeh, A., & Riazi, H. (2014). Assessing whether measurement invariance of the KIDSCREEN-27 across child-parent dyad depends on the child gender: A multiple group confirmatory factor analysis. Global Journal of Health Science, 6(5), 142-153. doi:10.5539/gjhs.v6n5p142
4. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. doi:10.1007/BF02723327
5. 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. doi:10.1097/00007632-200012150-00014
6. Chang, K.-C., Wang, J.-D., Tang, H.-P., Cheng, C.-M., & Lin, C.-Y. (2014). Psychometric evaluation, using Rasch analysis, of the WHOQOL-BREF in heroin-dependent people undergoing methadone maintenance treatment: Further item validation. Health and Quality of Life Outcomes, 12(1), 148. doi:10.1186/s12955-014-0148-6
7. Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464-504. doi:10.1080/10705510701301834
8. Cheng, C.-P., Luh, W.-M., Yang, A.-L., Su, C.-T., & Lin, C.-Y. (2016). Agreement of children and parents scores on Chinese version of Pediatric Quality of Life Inventory Version 4.0: Further psychometric development. Applied Research in Quality of Life, 11(3), 891-906. doi:10.1007/s11482-015-9405-z
9. Crews, F., He, J., & Hodge, C. (2007). Adolescent cortical development: A critical period of vulnerability for addiction. Pharmacology Biochemistry and Behavior, 86(2), 189-199. doi:10.1016/j.pbb.2006.12.001
10. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
11. Griffiths, M. D., Kuss, D. J., & Pontes, H. (2016). A brief overview of Internet gaming disorder and its treatment. Australian Clinical Psychologist, 2(1), 20108.
12. Jafari, P., Bagheri, Z., Ayatollahi, S. M. T., & Soltani, Z. (2012). Using Rasch rating scale model to reassess the psychometric properties of the Persian version of the PedsQL TM 4.0 Generic Core Scales in school children. Health and Quality of Life Outcomes, 10(1), 27. doi:10.1186/1477-7525-10-27
13. Jafari, P., Bagheri, Z., & Safe, M. (2012). Item and responsecategory functioning of the Persian version of the KIDSCREEN-27: Rasch partial credit model. Health and Quality of Life Outcomes, 10(1), 127. doi:10.1186/1477-7525-10-127
14. Jette, D. U., Warren, R. L., & Wirtalla, C. (2005). Functional independence domains in patients receiving rehabilitation in skilled nursing facilities: Evaluation of psychometric properties. Archives of Physical Medicine and Rehabilitation, 86(6), 1089-1094. doi:10.1016/j.apmr.2004.11.018
15. Khan, A., Chien, C.-W., & Brauer, S. G. (2013). Rasch-based scoring offered more precision in differentiating patient groups in measuring upper limb function. Journal of Clinical Epidemiology, 66(6), 681-687. doi:10.1016/j.jclinepi.2012.12.014
16. Kim, N. R., Hwang, S. S.-H., Choi, J.-S., Kim, D.-J., Demetrovics, Z., Király, O., Nagygyörgy, K., Griffiths, M. D., Hyun, S. Y., Youn, H. C., Choi, S. W., & Youn, H. C. (2016). Characteristics and psychiatric symptoms of Internet gaming disorder among adults using self-reported DSM-5 criteria. Psychiatry Investigation, 13(1), 58-66. doi:10.4306/pi.2016.13.1.58
17. Király, O., Griffiths, M. D., & Demetrovics, Z. (2015). Internet gaming disorder and the DSM-5: Conceptualization, debates, and controversies. Current Addiction Reports, 2(3), 254-262. doi:10.1007/s40429-015-0066-7
18. Ko, C.-H., Yen, J.-Y., Chen, C.-C., Chen, S.-H., & Yen, C.-F. (2005). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 193(4), 273-277. doi:10.1097/01.nmd.0000158373.85150.57
19. ™) generic core scales in school children and adolescents using the Rasch model. Health and Quality of Life Outcomes, 6(1), 41. doi:10.1186/1477-7525-6-41
20. Lin, C.-Y., Luh, W.-M., Yang, A.-L., Su, C.-T., Wang, J.-D., & Ma, H.-I. (2012). Psychometric properties and gender invariance of the Chinese version of the self-report Pediatric Quality of Life Inventory version 4.0: Short form is acceptable. Quality of Life Research, 21(1), 177-182. doi:10.1007/s11136-011-9928-1
21. Lin, C.-Y., Yang, S.-C., Lai, W.-W., Su, W.-C., & Wang, J.-D. (2017). Rasch models suggested the satisfactory psychometric properties of the World Health Organization Quality of Life-Brief among lung cancer patients. Journal of Health Psychology, 22(4), 397-408. doi:10.1177/1359105315603474
22. Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335-343. doi:10.1016/0005-7967 (94) 00075-U
23. Mitchell, M. R., & Potenza, M. N. (2015). Importance of sex differences in impulse control and addictions. Frontiers in Psychiatry, 6, 24. doi:10.3389/fpsyt.2015.00024
24. Monacis, L., Palo, V., Griffiths, M. D., & Sinatra, M. (2016). Validation of the Internet Gaming Disorder Scale - Short-Form (IGDS9-SF) in an Italian-speaking sample. Journal of Behavioral Addictions, 5(4), 683-690. doi:10.1556/2006.5.2016.083
25. Pontes, H. M., & Griffiths, M. D. (2015). Measuring DSM-5 Internet gaming disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137-143. doi:10.1016/j.chb.2014.12.006
26. Pontes, H. M., & Griffiths, M. D. (2016). Portuguese validation of the Internet Gaming Disorder Scale-Short-Form. Cyberpsychology, Behavior, and Social Networking, 19(4), 288-293. doi:10.1089/cyber.2015.0605
27. Pontes, H. M., Király, O., Demetrovics, Z., & Griffiths, M. D. (2014). The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PLoS One, 9(10), e110137. doi:10.1371/journal.pone.0110137
28. Rehbein, F., Kliem, S., Baier, D., Mossle, T., & Petry, N. M. (2015). Prevalence of Internet gaming disorder in German adolescents: Diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction, 110(5), 842-851. doi:10.1111/add.12849
29. Rosseel, Y., Oberski, D., Byrnes, J., Vanbrabant, L., Savalei, V., Merkle, E., Hallquist, M., Rhemtulla, M., Katsikatsou, M., Barendse, M., Chow, M., & Jorgensen, T. (2015). Package 'lavaan'. Retrived January 1, 2017, from https://cran. r-project.org/web/packages/lavaan/lavaan. pdf
30. Shih, C.-L., & Wang, W.-C. (2009). Differential item functioning detection using the multiple indicators, multiple causes method with a pure short anchor. Applied Psychological Measurement, 33(3), 184-199. doi:10.1177/0146621608321758
31. Struber, D., Luck, M., & Roth, G. (2008). Sex, aggression and impulse control: An integrative account. Neurocase, 14(1), 93-121. doi:10.1080/13554790801992743
32. Wang, Y.-S., Wang, H.-Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808. doi:10.1016/j.chb.2005.10.006