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Published on 09.10.13 in Vol 15, No 10 (2013): October

This paper is in the following e-collection/theme issue:

Works citing "Internet Addiction Test (IAT): Which is the Best Factorial Solution?"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2935):

(note that this is only a small subset of citations)

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  4. Chin F, Leung CH, Stavropoulos V. The concurrent validity of the Internet Addiction Test (IAT) and the Mobile Phone Dependence Questionnaire (MPDQ). PLOS ONE 2018;13(6):e0197562
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  14. Spada MM, Caselli G. The Metacognitions about Online Gaming Scale: Development and psychometric properties. Addictive Behaviors 2017;64:281
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  16. Craparo G, Ardino V, Gori A, Caretti V. The Relationships between Early Trauma, Dissociation, and Alexithymia in Alcohol Addiction. Psychiatry Investigation 2014;11(3):330
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  19. Wéry A, Burnay J, Karila L, Billieux J. The Short French Internet Addiction Test Adapted to Online Sexual Activities: Validation and Links With Online Sexual Preferences and Addiction Symptoms. The Journal of Sex Research 2016;53(6):701
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  20. Baloğlu M, Özteke Kozan H, Kesici . Gender Differences in and the Relationships Between Social Anxiety and Problematic Internet Use: Canonical Analysis. Journal of Medical Internet Research 2018;20(1):e33
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  21. Mohagheghi A, Alizadeh M, Shahriari F, Jabbari S. Validity, Reliability and Psychometric Evaluation of Persian Version of Young Internet Addiction Questionnaire For Tabriz University and Tabriz University of Medical Sciences Students. Research and Development in Medical Education 2016;4(2):153
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  22. Lee M, Chung SJ, Lee Y, Park S, Kwon J, Kim DJ, Lee D, Choi J. Investigation of Correlated Internet and Smartphone Addiction in Adolescents: Copula Regression Analysis. International Journal of Environmental Research and Public Health 2020;17(16):5806
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  23. Caselli G, Marino C, Spada MM. Modelling Online Gaming Metacognitions: The Role of Time Spent Gaming in Predicting Problematic Internet Use. Journal of Rational-Emotive & Cognitive-Behavior Therapy 2021;39(2):172
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  24. Laconi S, Rodgers RF, Chabrol H. The measurement of Internet addiction: A critical review of existing scales and their psychometric properties. Computers in Human Behavior 2014;41:190
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  26. Wong TY, Yuen KSL, Li WO. A basic need theory approach to problematic Internet use and the mediating effect of psychological distress. Frontiers in Psychology 2015;5
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  27. Neelapaijit A, Pinyopornpanish M, Simcharoen S, Kuntawong P, Wongpakaran N, Wongpakaran T. Psychometric properties of a Thai version internet addiction test. BMC Research Notes 2018;11(1)
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  28. Moon SJ, Hwang JS, Kim JY, Shin AL, Bae SM, Kim JW. Psychometric Properties of the Internet Addiction Test: A Systematic Review and Meta-Analysis. Cyberpsychology, Behavior, and Social Networking 2018;21(8):473
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  29. Tafur-Mendoza AA, Acosta-Prado JC, Zárate-Torres RA, Ramírez-Ospina DE. Assessing the Psychometric Properties of the Internet Addiction Test in Peruvian University Students. International Journal of Environmental Research and Public Health 2020;17(16):5782
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  30. Li Q, Cai Y, Tan Q, Tu D. Structure of Arabic Scale of Death Anxiety With Chinese College Students: A Bifactor Approach. Frontiers in Psychology 2018;9
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  31. Khazaal Y, Achab S, Billieux J, Thorens G, Zullino D, Dufour M, Rothen S. Factor Structure of the Internet Addiction Test in Online Gamers and Poker Players. JMIR Mental Health 2015;2(2):e12
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  32. Truzoli R, Viganò C, Galmozzi PG, Reed P. Problematic internet use and study motivation in higher education. Journal of Computer Assisted Learning 2020;36(4):480
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  33. Chahine M, Salameh P, Haddad C, Sacre H, Soufia M, Akel M, Obeid S, Hallit R, Hallit S. Suicidal ideation among Lebanese adolescents: scale validation, prevalence and correlates. BMC Psychiatry 2020;20(1)
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  34. Sengupta A, Broyles I, Brako L, Raskin G. Internet Addiction: Impact on Academic Performance of Premedical Post-Baccalaureate Students. Medical Science Educator 2018;28(1):23
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  35. Broadbent J, Dakki MA. How Much Is Too Much to Pay for Internet Access? A Behavioral Economic Analysis of Internet Use. Cyberpsychology, Behavior, and Social Networking 2015;18(8):457
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  36. Banjanin N, Banjanin N, Dimitrijevic I, Pantic I. Relationship between internet use and depression: Focus on physiological mood oscillations, social networking and online addictive behavior. Computers in Human Behavior 2015;43:308
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  37. Alonso C, Romero E. Study of the Domains and Facets of the Five-Factor Model of Personality in Problematic Internet Use in Adolescents. International Journal of Mental Health and Addiction 2020;18(2):293
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  38. Shi M, Du TJ. Associations of personality traits with internet addiction in Chinese medical students: the mediating role of attention-deficit/hyperactivity disorder symptoms. BMC Psychiatry 2019;19(1)
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  39. Speak BL, Muncer SJ. Factorial structure of the Health of the Nation Outcome Scales: An ordinal confirmatory factor analysis using a national sample of clinician ratings in England. International Journal of Mental Health Nursing 2016;25(1):87
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  40. Lai FT, Kwan JL. Socioeconomic influence on adolescent problematic Internet use through school-related psychosocial factors and pattern of Internet use. Computers in Human Behavior 2017;68:121
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  41. Servidio R, Francés FC, Bertucci A. Assessing the Psychometric Properties of the Internet Abusive Use Questionnaire in Italian University Students. Swiss Journal of Psychology 2019;78(3-4):91
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  42. Craparo G, Gori A, Dell’Aera S, Costanzo G, Fasciano S, Tomasello A, Vicario CM. Impaired emotion recognition is linked to alexithymia in heroin addicts. PeerJ 2016;4:e1864
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  43. Herţa D, Muhammad A, Nemeș B, Coman H. Internet addiction test in foreign students from Romania. Psihiatru.ro 2019;58 (3)(1):36
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  44. Waqas A, Farooq F, Raza M, Javed ST, Khan S, Ghumman ME, Naveed S, Haddad M. Validation of the Internet Addiction Test in Students at a Pakistani Medical and Dental School. Psychiatric Quarterly 2018;89(1):235
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  45. Cacioppo M, Barni D, Correale C, Mangialavori S, Danioni F, Gori A. Do Attachment Styles and Family Functioning Predict Adolescents’ Problematic Internet Use? A Relative Weight Analysis. Journal of Child and Family Studies 2019;28(5):1263
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  46. . Assessing the psychometric properties of the Internet Addiction Test: A study on a sample of Italian university students. Computers in Human Behavior 2017;68:17
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  47. García-Umaña A, Tirado-Morueta R. Digital Media Behavior of School Students: Abusive Use of the Internet. Journal of New Approaches in Educational Research 2018;7(2):140
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  48. Griffiths MD, Mamun MA. Internet addiction among young Bangladeshi adults: critical commentary on Hassan et al. (2020). Journal of the Egyptian Public Health Association 2020;95(1)
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  49. Yazdi K, Bilous C, Mittermaier M, Staudinger K, Fuchs-Leitner I. Self-Reported and Parental Assessments of Internet Gaming Disorder, and Their Accordance with DSM-5 Criteria in a Clinical Relevant Population. Cyberpsychology, Behavior, and Social Networking 2021;24(6):407
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  50. Cerniglia L, Cimino S, Marzilli E, Pascale E, Tambelli R. Associations Among Internet Addiction, Genetic Polymorphisms, Family Functioning, and Psychopathological Risk: Cross-Sectional Exploratory Study. JMIR Mental Health 2020;7(12):e17341
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  51. Pino MJ, Herruzo J, Raya A, Ruiz-Olivares R, Herruzo C. Development of IAT-12, a reduced Spanish version of the internet addiction test. Current Psychology 2022;41(12):8471
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  52. KARCI HD, URHAN B. Online Game Addiction and Gen Z: A Comparative Study on Turkish and Romanian High School Students. Selçuk İletişim 2021;14(2):549
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  53. Brito AB, Pinho LD, Brito MFSF, Messias RB, Brito KDP, Rodrigues CAO, Reis VMCP, Silveira MF. Propriedades psicométricas do Internet Addiction Test em estudantes de Montes Claros, Minas Gerais, Brasil. Cadernos de Saúde Pública 2021;37(5)
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  54. Khazaie H, Lebni JY, Abbas J, Mahaki B, Chaboksavar F, Kianipour N, Toghroli R, Ziapour A. Internet Addiction Status and Related Factors among Medical Students: A Cross-Sectional Study in Western Iran. Community Health Equity Research & Policy 2023;43(4):347
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  55. Sela Y, Bar-Or RL, Kor A, Lev-Ran S. The Internet addiction test: Psychometric properties, socio-demographic risk factors and addictive co-morbidities in a large adult sample. Addictive Behaviors 2021;122:107023
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  56. Ghislieri C, Dolce V, Sanseverino D, Wodociag S, Vonthron A, Vayre , Giunchi M, Molino M. Might insecurity and use of ICT enhance internet addiction and exhaust people? A study in two European countries during emergency remote working. Computers in Human Behavior 2022;126:107010
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  57. Della Vedova AM, Covolo L, Muscatelli M, Loscalzo Y, Giannini M, Gelatti U. Psychological distress and problematic smartphone use: Two faces of the same coin? Findings from a survey on young Italian adults. Computers in Human Behavior 2022;132:107243
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  58. Herruzo C, Raya Trenas AF, Ruiz‐Olivares R, Lucena V, Herruzo Cabrera J, Pino MJ. Subjective well‐being and vulnerability related to problematic Internet use among university students with and without disabilities: A comparative study. Journal of Community Psychology 2022;50(3):1668
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  59. Lu X, Yeo KJ, Guo F, Zhao Z, Wu O. Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables. BMC Public Health 2022;22(1)
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  60. Chan EC, Wallace K, Yang EH, Roper L, Aryal G, Lodhi RJ, Isenberg R, Carnes P, Baskys A, Green B, Aitchison KJ. The feasibility and acceptability of mobile application-based assessment of suicidality using self-report components of a novel tool, the Suicide Ideation and Behavior Assessment Tool (SIBAT). Psychiatry Research 2022;307:114316
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  61. Ali AM, Hendawy AO, Almarwani AM, Alzahrani N, Ibrahim N, Alkhamees AA, Kunugi H. The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students. International Journal of Environmental Research and Public Health 2021;18(23):12341
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  62. Atwan W, Salha N, Mahamid F. Psychometric properties and factorial structure of the social network addiction scale within the Arabic language & palestinian context. Computers in Human Behavior Reports 2022;8:100228
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  63. Sharma MK, Hallford D, Anand N. Psychometric evaluation of the internet addiction test in India. Asian Journal of Psychiatry 2022;73:103136
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  64. Ballarotto G, Marzilli E, Cerniglia L, Cimino S, Tambelli R. How Does Psychological Distress Due to the COVID-19 Pandemic Impact on Internet Addiction and Instagram Addiction in Emerging Adults?. International Journal of Environmental Research and Public Health 2021;18(21):11382
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  65. Narkbunnum W, Wisaeng K. Prediction of Depression for Undergraduate Students Based on Imbalanced Data by Using Data Mining Techniques. Applied System Innovation 2022;5(6):120
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  67. Tarrahi MJ, Rezaei Kahkha Zhaleh M. Investigating Internet Addiction and Sleep Quality Correlation Among Students of Isfahan University of Medical Sciences in 2021. Health Scope 2022;11(3)
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  68. Giraldo Giraldo Y, Moreno Montoya JF, Madrigal Zuluaga N, Alzate Echavarría M, Torres Zapata C, Hincapié Aguirre N, Pérez Palacio AA, Salgado Pérez AG, Morales Betancur JD. Relación entre el uso de redes sociales y las funciones ejecutivas. Poiésis 2021;(40):57
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  69. Marzilli E, Cerniglia L, Cimino S, Tambelli R. Internet Addiction among Young Adult University Students during the COVID-19 Pandemic: The Role of Peritraumatic Distress, Attachment, and Alexithymia. International Journal of Environmental Research and Public Health 2022;19(23):15582
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2935):

  1. Taushanov Z, Berchtold A. Sequence Analysis and Related Approaches. 2018. Chapter 12:203
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  2. Manda TD, Jamu ES, Mwakilama EP, Maliwichi-Senganimalunje L. Addiction in South and East Africa. 2019. Chapter 16:261
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