메뉴 건너뛰기




Volumn 34, Issue 2, 2016, Pages 197-214

Psychometric Validation of the Compulsive Internet Use Scale: Relationship With Adolescents’ Demographics, ICT Accessibility, and Problematic ICT Use

Author keywords

Adolescents; compulsive Internet use; empirical study; ICT accessibility; problematic ICT use; psychometric validation

Indexed keywords


EID: 84975760118     PISSN: 08944393     EISSN: 15528286     Source Type: Journal    
DOI: 10.1177/0894439315572575     Document Type: Article
Times cited : (23)

References (62)
  • 1
  • 2
    • 85029800118 scopus 로고    scopus 로고
    • Validity, reliability and factor analysis of compulsive internet use scale in students of Isfahan’s universities
    • S.S.AlaviF.JannatifardM.EslamiH.Rezapour (2011). Validity, reliability and factor analysis of compulsive internet use scale in students of Isfahan’s universities. Health Information Management, 7, 724.
    • (2011) Health Information Management , vol.7 , pp. 724
    • Alavi, S.S.1    Jannatifard, F.2    Eslami, M.3    Rezapour, H.4
  • 5
    • 0000697225 scopus 로고
    • A note on multiplying factors for various chi-square approximations
    • M.S.Bartlett (1954). A note on multiplying factors for various chi-square approximations. Journal of the Royal Statistical Society, 16, 296–298.
    • (1954) Journal of the Royal Statistical Society , vol.16 , pp. 296-298
    • Bartlett, M.S.1
  • 6
    • 77449113177 scopus 로고    scopus 로고
    • Computer game playing: Clinical characteristics of dependence and abuse among adolescents
    • D.BatthyanyK.W.MullerF.BenkerK.Wolfling (2009). Computer game playing: Clinical characteristics of dependence and abuse among adolescents. Wien Klin Wochenschr, 121, 502–509.
    • (2009) Wien Klin Wochenschr , vol.121 , pp. 502-509
    • Batthyany, D.1    Muller, K.W.2    Benker, F.3    Wolfling, K.4
  • 7
    • 79952100615 scopus 로고    scopus 로고
    • Psychological predictors of problematic involvement in massively multiplayer online role-playing games: Illustration in a sample of male cybercafé players
    • J.BillieuxJ.ChanalY.KhazaalL.RochatP.GayD.ZullinoM.Van der Linden (2011). Psychological predictors of problematic involvement in massively multiplayer online role-playing games: Illustration in a sample of male cybercafé players. Psychopathology, 44, 165–171.
    • (2011) Psychopathology , vol.44 , pp. 165-171
    • Billieux, J.1    Chanal, J.2    Khazaal, Y.3    Rochat, L.4    Gay, P.5    Zullino, D.6    Van der Linden, M.7
  • 8
    • 0000505759 scopus 로고
    • Some contributions of the study of gambling to the study of other addictions
    • Reno, NV: Institute for the Study of Gambling and Commercial Gaming, College of Business Administration, University of Nevada,,. In (Eds.)
    • R.I.F.Brown (1993). Some contributions of the study of gambling to the study of other addictions. In (Eds.), Gambling behavior and problem gambling (pp. 241–272). Reno, NV: Institute for the Study of Gambling and Commercial Gaming, College of Business Administration, University of Nevada.
    • (1993) Gambling behavior and problem gambling , pp. 241-272
    • Brown, R.I.F.1
  • 9
    • 0001233581 scopus 로고
    • Alternative ways of assessing model fit
    • Newbury Park, CA: Sage,,. In (Eds.)
    • M.W.BrowneR.Cudeck (1993). Alternative ways of assessing model fit. In (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
    • (1993) Testing structural equation models , pp. 136-162
    • Browne, M.W.1    Cudeck, R.2
  • 12
    • 84964429100 scopus 로고
    • Analyzing models with unobserved variables: Analysis of covariance structures
    • Thousand Oaks, CA: Sage,,. In (Eds.)
    • E.G.CarminesJ.P.McIver (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In (Eds.), Social measurement: Current issues (pp. 65–115). Thousand Oaks, CA: Sage.
    • (1981) Social measurement: Current issues , pp. 65-115
    • Carmines, E.G.1    McIver, J.P.2
  • 13
    • 84937549955 scopus 로고
    • The Scree test for number of factors
    • R.B.Catell (1966). The Scree test for number of factors. Multivariate Behavioral Research, 1, 245–276.
    • (1966) Multivariate Behavioral Research , vol.1 , pp. 245-276
    • Catell, R.B.1
  • 14
    • 51349123457 scopus 로고    scopus 로고
    • Factor structure for young’s internet addiction test: A confirmatory study
    • M.K.ChangS.P.M.Law (2008). Factor structure for young’s internet addiction test: A confirmatory study. Computers in Human Behavior, 24, 2597–2619.
    • (2008) Computers in Human Behavior , vol.24 , pp. 2597-2619
    • Chang, M.K.1    Law, S.P.M.2
  • 16
    • 58149438731 scopus 로고
    • Construct validity in psychological tests
    • L.CronbachP.Meehl (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.
    • (1955) Psychological Bulletin , vol.52 , pp. 281-302
    • Cronbach, L.1    Meehl, P.2
  • 19
    • 0038009571 scopus 로고    scopus 로고
    • Multiple imputation for missing data: Making the most of what you know
    • M.FichmanJ.N.Cummings (2003). Multiple imputation for missing data: Making the most of what you know. Organizational Research Methods, 6, 282–295.
    • (2003) Organizational Research Methods , vol.6 , pp. 282-295
    • Fichman, M.1    Cummings, J.N.2
  • 21
    • 0041031518 scopus 로고    scopus 로고
    • Internet addiction: Fact or fiction?
    • M.Griffiths (1999). Internet addiction: Fact or fiction?Psychologist, 12, 246–250.
    • (1999) Psychologist , vol.12 , pp. 246-250
    • Griffiths, M.1
  • 22
    • 0000638279 scopus 로고    scopus 로고
    • Risk factors in adolescence: The case of gambling, videogame playing, and the Internet
    • M.GriffithsR.T.A.Wood (2000). Risk factors in adolescence: The case of gambling, videogame playing, and the Internet. Journal of Gambling Studies, 16, 199–225.
    • (2000) Journal of Gambling Studies , vol.16 , pp. 199-225
    • Griffiths, M.1    Wood, R.T.A.2
  • 24
    • 84896129454 scopus 로고    scopus 로고
    • Assessment of problematic internet use by the compulsive internet use scale and the internet addiction test: A sample of problematic and pathological gamblers
    • D.GuertlerH.-J.RumpfA.BischofN.KastirkeK.U.PetersenK.U.Petersen…C.Meyer (2013). Assessment of problematic internet use by the compulsive internet use scale and the internet addiction test: A sample of problematic and pathological gamblers. European Addiction Research, 20, 75–81.
    • (2013) European Addiction Research , vol.20 , pp. 75-81
    • Guertler, D.1    Rumpf, H.-J.2    Bischof, A.3    Kastirke, N.4    Petersen, K.U.5    Petersen, K.U.6
  • 27
    • 67650706330 scopus 로고    scopus 로고
    • Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
    • L.T.HuP.M.Bentler (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
    • (1999) Structural Equation Modeling , vol.6 , pp. 1-55
    • Hu, L.T.1    Bentler, P.M.2
  • 28
    • 84975729059 scopus 로고    scopus 로고
    • Retrieved November 10, 2013, from
    • India Internet Users. (2013). Internet and mobile association of India. Retrieved November 10, 2013, fromhttp://www.iamai.in/PRelease_detail.aspx?nid=3222&NMonth=11&NYear=2013
    • (2013) Internet and mobile association of India
  • 29
    • 84975748028 scopus 로고    scopus 로고
    • Retrieved November 10, 2013, from
    • Internet Usage in Asia. (2013). Internet penetration in Asia. Retrieved November 10, 2013, fromwww.internetworldstats.com/stats3.htm#asia
    • (2013) Internet penetration in Asia
  • 31
    • 34250493668 scopus 로고
    • A second generation little Jiffy
    • H.A.Kaiser (1970). A second generation little Jiffy. Psychometrika, 35, 401–415.
    • (1970) Psychometrika , vol.35 , pp. 401-415
    • Kaiser, H.A.1
  • 35
    • 29544445118 scopus 로고    scopus 로고
    • Screening for internet addiction: An empirical study on cut-off points for the Chen internet addiction scale
    • C.H.KoJ.Y.YenC.F.YenC.C.ChenC.N.YenS.H.Chen (2005). Screening for internet addiction: An empirical study on cut-off points for the Chen internet addiction scale. Kaohsiung Journal of Medical Sciences, 21, 545–551.
    • (2005) Kaohsiung Journal of Medical Sciences , vol.21 , pp. 545-551
    • Ko, C.H.1    Yen, J.Y.2    Yen, C.F.3    Chen, C.C.4    Yen, C.N.5    Chen, S.H.6
  • 38
    • 34447120742 scopus 로고    scopus 로고
    • Problematic internet use: Clinical implications
    • T.LiuM.N.Potenza (2007). Problematic internet use: Clinical implications. CNS Spectrums, 12, 453–466.
    • (2007) CNS Spectrums , vol.12 , pp. 453-466
    • Liu, T.1    Potenza, M.N.2
  • 39
    • 0025131216 scopus 로고
    • Behavioural (non-chemical) addictions
    • I.Marks (1990). Behavioural (non-chemical) addictions. British Journal of Addiction, 85, 1389–1394.
    • (1990) British Journal of Addiction , vol.85 , pp. 1389-1394
    • Marks, I.1
  • 41
    • 77956189171 scopus 로고    scopus 로고
    • Low self-directedness is a better predictor for problematic Internet use than high neuroticism
    • C.M.MontagM.JurkiewiczM.Reuter (2010). Low self-directedness is a better predictor for problematic Internet use than high neuroticism. Computers in Human Behavior, 26, 1531–1535.
    • (2010) Computers in Human Behavior , vol.26 , pp. 1531-1535
    • Montag, C.M.1    Jurkiewicz, M.2    Reuter, M.3
  • 42
    • 0034242321 scopus 로고    scopus 로고
    • SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test
    • B.O’Connor (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396–402.
    • (2000) Behavior Research Methods, Instruments, & Computers , vol.32 , pp. 396-402
    • O’Connor, B.1
  • 43
    • 84864103180 scopus 로고    scopus 로고
    • Faktorielle Struktur der deutschen Version der Compulsive Internet Use Scale (CIUS) nach konfirmatorischer Faktorenanalyse [Factorial structure of the German version of the Compulsive Internet Use Scale (CIUS) after confirmatory factor analysis]
    • P.PeukertS.SteffenJ.ElKasmiG.M.BarthG.-J.MeerkerkA.Batra (2012). Faktorielle Struktur der deutschen Version der Compulsive Internet Use Scale (CIUS) nach konfirmatorischer Faktorenanalyse [Factorial structure of the German version of the Compulsive Internet Use Scale (CIUS) after confirmatory factor analysis]. Zeits chrift für Klinische Psychologie und Psychotherapie, 41, 101–108.
    • (2012) Zeits chrift für Klinische Psychologie und Psychotherapie , vol.41 , pp. 101-108
    • Peukert, P.1    Steffen, S.2    ElKasmi, J.3    Barth, G.M.4    Meerkerk, G.-J.5    Batra, A.6
  • 45
    • 0036206816 scopus 로고    scopus 로고
    • Confirmatory factor analysis of internet use and addiction
    • M.E.PratarelliB.L.Browne (2002). Confirmatory factor analysis of internet use and addiction. Cyberpsychology and Behavior, 5, 53–64.
    • (2002) Cyberpsychology and Behavior , vol.5 , pp. 53-64
    • Pratarelli, M.E.1    Browne, B.L.2
  • 46
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • J.L.SchaferJ.W.Graham (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177.
    • (2002) Psychological Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 49
    • 0037297709 scopus 로고    scopus 로고
    • Starting at the beginning: An introduction to co-efficient alpha and internal consistency
    • D.Streiner (2003). Starting at the beginning: An introduction to co-efficient alpha and internal consistency. Journal of Personality Assessment, 80, 99–103.
    • (2003) Journal of Personality Assessment , vol.80 , pp. 99-103
    • Streiner, D.1
  • 53
    • 0001193215 scopus 로고
    • Determining the number of components from the matrix of partial correlations
    • W.F.Velicer (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321–327.
    • (1976) Psychometrika , vol.41 , pp. 321-327
    • Velicer, W.F.1
  • 55
    • 4344608868 scopus 로고    scopus 로고
    • The psychometric properties of the Internet addiction test
    • L.WidyantoM.McMurran (2004). The psychometric properties of the Internet addiction test. Cyberpsychology & Behavior, 7, 443–450.
    • (2004) Cyberpsychology & Behavior , vol.7 , pp. 443-450
    • Widyanto, L.1    McMurran, M.2
  • 57
    • 34250198968 scopus 로고    scopus 로고
    • The comorbid psychiatric symptoms of internet addiction: Attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility
    • J.Y.YenC.H.KoC.F.YenH.Y.WuM.J.Yang (2007). The comorbid psychiatric symptoms of internet addiction: Attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health, 41, 93–98.
    • (2007) Journal of Adolescent Health , vol.41 , pp. 93-98
    • Yen, J.Y.1    Ko, C.H.2    Yen, C.F.3    Wu, H.Y.4    Yang, M.J.5
  • 58
    • 0030338663 scopus 로고    scopus 로고
    • Pathological internet use: A case that breaks the stereotype
    • K.S.Young (1996). Pathological internet use: A case that breaks the stereotype. Psychological Reports, 79, 899–902.
    • (1996) Psychological Reports , vol.79 , pp. 899-902
    • Young, K.S.1
  • 60
    • 0002879974 scopus 로고    scopus 로고
    • Internet addiction: Symptoms, evaluation, and treatment
    • Sarasota, FL: Professional Resource Press,,. In (Eds.)
    • K.S.Young (1999). Internet addiction: Symptoms, evaluation, and treatment. In (Eds.), Innovations in clinical practice: A source book (Vol. 17, pp. 19–31). Sarasota, FL: Professional Resource Press.
    • (1999) Innovations in clinical practice: A source book , vol.17 , pp. 19-31
    • Young, K.S.1
  • 61
    • 1442328997 scopus 로고    scopus 로고
    • Internet abuse in the workplace: New trends in risk management
    • K.S.YoungC.J.Case (2004). Internet abuse in the workplace: New trends in risk management. CyberPsychology & Behavior, 7, 105–111.
    • (2004) CyberPsychology & Behavior , vol.7 , pp. 105-111
    • Young, K.S.1    Case, C.J.2
  • 62
    • 84975678220 scopus 로고    scopus 로고
    • Retrieved November 10, 2013, from
    • Youth Internet Users. (2013). More than 90 percent mobile internet users in India are men. Retrieved November 10, 2013, fromhttp://tech2.in.com/news/mobile-phones/more-than-90-percent-mobile-internet-users-in-india-are-men/914080
    • (2013) More than 90 percent mobile internet users in India are men


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.