Skip to main content
Top
Published in: Psychiatric Quarterly 4/2015

01-12-2015 | Original Paper

Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents

Authors: Amandeep Dhir, Sufen Chen, Marko Nieminen

Published in: Psychiatric Quarterly | Issue 4/2015

Login to get access

Abstract

The recent development of internet infrastructure has fuelled a popular concern that young Asian internet users are experiencing Internet addiction due to excessive Internet use. In order to understand the phenomenon, psychometric validation of a 14-item Compulsive Internet Use Scale (CIUS), with 417 Chinese adolescents has been performed. Compared to other instruments for use with Chinese populations, e.g. the 20-item Internet Addiction Test (IAT) and the 26-item Chen Internet Addiction Scale, the CIUS is relatively concise, and easy to use for measuring and diagnosing Internet addiction. The present psychometric validation has found good factorial stability with a one-factor solution for the CIUS. The internal consistency and model fit indices were very good, and even better than any previous CIUS validations. The Chinese CIUS is a valid and reliable self-reporting instrument for examining compulsive Internet use among Chinese adolescents. Other findings included: male adolescents tend to experience more compulsive Internet use than their female counterparts, and CIUS scores were positively correlated with the daily Internet use time and negatively correlated with the academic performance of the participants. No significant relationships between the CIUS, ICT accessibility, family economic condition, parental occupation or religion were found.
Literature
1.
go back to reference Cao F, Su L: Internet addiction among Chinese adolescents: prevalence and psychological features. Child 33:275–81, 2007. Cao F, Su L: Internet addiction among Chinese adolescents: prevalence and psychological features. Child 33:275–81, 2007.
2.
go back to reference Cao F, Su L, LiuT, Gao X: The relationship between impulsivity and internet addiction in a sample of Chinese adolescents. European Psychiatry 22:466–71, 2007.CrossRefPubMed Cao F, Su L, LiuT, Gao X: The relationship between impulsivity and internet addiction in a sample of Chinese adolescents. European Psychiatry 22:466–71, 2007.CrossRefPubMed
3.
go back to reference Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, Lyoo IK, Cho SC: Depression and Internet addiction in adolescents. Psychopathology 40:424–30, 2007.CrossRefPubMed Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, Lyoo IK, Cho SC: Depression and Internet addiction in adolescents. Psychopathology 40:424–30, 2007.CrossRefPubMed
4.
go back to reference Jang KS, Hwang SY, Choi JY: Internet addiction and psychiatric symptoms among Korean adolescents. Journal of School Health 78:165–71, 2008.CrossRefPubMed Jang KS, Hwang SY, Choi JY: Internet addiction and psychiatric symptoms among Korean adolescents. Journal of School Health 78:165–71, 2008.CrossRefPubMed
5.
go back to reference Ko CH, Yen JY, Chen SH, Yang MJ, Lin HC, Yen CF: Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students. Comprehensive Psychiatry 50:378–384, 2009.CrossRefPubMed Ko CH, Yen JY, Chen SH, Yang MJ, Lin HC, Yen CF: Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students. Comprehensive Psychiatry 50:378–384, 2009.CrossRefPubMed
8.
go back to reference Chen YF, Peng SS: University students’ internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. CyberPsychology and Behavior 11:467–69, 2008.CrossRefPubMed Chen YF, Peng SS: University students’ internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. CyberPsychology and Behavior 11:467–69, 2008.CrossRefPubMed
9.
go back to reference Leung L: Net-generation attributes and seductive properties of the internet as predictors of online activities and Internet addiction. CyberPsychology and Behavior 7:333–48, 2004.CrossRefPubMed Leung L: Net-generation attributes and seductive properties of the internet as predictors of online activities and Internet addiction. CyberPsychology and Behavior 7:333–48, 2004.CrossRefPubMed
10.
go back to reference Nalwa K, Anand AP: Internet addiction in students: a cause of concern. CyberPsychology and Behavior 6:653–56, 2003.CrossRefPubMed Nalwa K, Anand AP: Internet addiction in students: a cause of concern. CyberPsychology and Behavior 6:653–56, 2003.CrossRefPubMed
11.
go back to reference Chou C: Internet heavy use and addiction among Taiwanese college students: an online interview study. CyberPsychology and Behavior 4:573–85, 2001.CrossRefPubMed Chou C: Internet heavy use and addiction among Taiwanese college students: an online interview study. CyberPsychology and Behavior 4:573–85, 2001.CrossRefPubMed
12.
go back to reference Suhail K, Bargees Z. Effects of excessive internet use on undergraduate students in Pakistan. CyberPsychology and Behavior 9:297–307, 2006.CrossRefPubMed Suhail K, Bargees Z. Effects of excessive internet use on undergraduate students in Pakistan. CyberPsychology and Behavior 9:297–307, 2006.CrossRefPubMed
13.
go back to reference Young KS: Internet addiction: a new clinical phenomenon and its consequences. American Behavioral Scientist 48:402–15, 2004.CrossRef Young KS: Internet addiction: a new clinical phenomenon and its consequences. American Behavioral Scientist 48:402–15, 2004.CrossRef
14.
go back to reference Shapira NA, Goldsmith TD, Keck Jr PE, Khosla UM, McElroy SL: Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders 57:267–72, 2000.CrossRefPubMed Shapira NA, Goldsmith TD, Keck Jr PE, Khosla UM, McElroy SL: Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders 57:267–72, 2000.CrossRefPubMed
15.
go back to reference Ghassemzadeh L, Shahraray M, Moradi AR: Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. CyberPsychology & Behavior 11:731–3, 2008.CrossRef Ghassemzadeh L, Shahraray M, Moradi AR: Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. CyberPsychology & Behavior 11:731–3, 2008.CrossRef
16.
go back to reference Young KS: Caught in the net: how to recognize the signs of internet addiction—and a winning strategy for recovery. Wiley, New York, pp. 1–245, 1998. Young KS: Caught in the net: how to recognize the signs of internet addiction—and a winning strategy for recovery. Wiley, New York, pp. 1–245, 1998.
17.
go back to reference Greenfield DN: Psychological characteristics of compulsive internet use: a preliminary analysis. CyberPsychology & Behavior 2:403–12, 1999.CrossRef Greenfield DN: Psychological characteristics of compulsive internet use: a preliminary analysis. CyberPsychology & Behavior 2:403–12, 1999.CrossRef
18.
go back to reference Meerkerk GJ, Van Den Eijnden RJ Vermulst AA, Garretse HF: The Compulsive Internet Use Scale (CIUS): some psychometric properties. Cyberpsychology and Behavior 12:1–6, 2009.CrossRefPubMed Meerkerk GJ, Van Den Eijnden RJ Vermulst AA, Garretse HF: The Compulsive Internet Use Scale (CIUS): some psychometric properties. Cyberpsychology and Behavior 12:1–6, 2009.CrossRefPubMed
19.
go back to reference Caplan SE: Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior 18:553–7, 2002.CrossRef Caplan SE: Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior 18:553–7, 2002.CrossRef
20.
go back to reference Davis RA: A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior 17:187–95, 2001.CrossRef Davis RA: A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior 17:187–95, 2001.CrossRef
21.
go back to reference Lu HY: Sensation-seeking, internet dependency, and online interpersonal deception. CyberPsychology & Behavior 11:227–31, 2008.CrossRef Lu HY: Sensation-seeking, internet dependency, and online interpersonal deception. CyberPsychology & Behavior 11:227–31, 2008.CrossRef
22.
go back to reference Barke A, Nyenhuis N, Kröner-Herwig B: The German version of the Generalized Problematic Internet Use Scale 2 (GPIUS2): a validation study. Cyberpsychology, Behavior, and Social Networking 17(7):474–82, 2014.CrossRef Barke A, Nyenhuis N, Kröner-Herwig B: The German version of the Generalized Problematic Internet Use Scale 2 (GPIUS2): a validation study. Cyberpsychology, Behavior, and Social Networking 17(7):474–82, 2014.CrossRef
23.
go back to reference Chen S, Weng L, Su Y, Wu H, Yang P: Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology 45:279–94, 2003. Chen S, Weng L, Su Y, Wu H, Yang P: Development of a Chinese internet addiction scale and its psychometric study. Chinese Journal of Psychology 45:279–94, 2003.
24.
go back to reference Widyanto L, McMurran M: The psychometric properties of the internet addiction test. Cyberpsychology & Behavior 7:443–50, 2004.CrossRef Widyanto L, McMurran M: The psychometric properties of the internet addiction test. Cyberpsychology & Behavior 7:443–50, 2004.CrossRef
25.
go back to reference Widyanto L, Griffiths MD, Brunsden VA: Psychometric comparison of the internet addiction test, the Internet-related problem scale, and self-diagnosis. Cyberpsychology, Behavior, and Social Networking 14:141–49, 2011.CrossRef Widyanto L, Griffiths MD, Brunsden VA: Psychometric comparison of the internet addiction test, the Internet-related problem scale, and self-diagnosis. Cyberpsychology, Behavior, and Social Networking 14:141–49, 2011.CrossRef
26.
go back to reference Jelenchick LA, Becker T, Moreno MA: Assessing the psychometric properties of the internet addiction test (IAT) in US college students. Psychiatry Research 196:296–301, 2012.PubMedCentralCrossRefPubMed Jelenchick LA, Becker T, Moreno MA: Assessing the psychometric properties of the internet addiction test (IAT) in US college students. Psychiatry Research 196:296–301, 2012.PubMedCentralCrossRefPubMed
27.
go back to reference Ferraro G, Caci B, D’Amico A, Blasi MD: Internet addiction disorder: an Italian study. Cyberpsychology & Behavior 10:170–5, 2004.CrossRef Ferraro G, Caci B, D’Amico A, Blasi MD: Internet addiction disorder: an Italian study. Cyberpsychology & Behavior 10:170–5, 2004.CrossRef
28.
go back to reference Chong Guan N, Isa SM, Hashim AH, Pillai SK, Harbajan Singh MK: Validity of the Malay version of the Internet Addiction Test: a study on a group of medical students in Malaysia. Asia-Pacific Journal of Public Health 20(10):1–12, 2012. Chong Guan N, Isa SM, Hashim AH, Pillai SK, Harbajan Singh MK: Validity of the Malay version of the Internet Addiction Test: a study on a group of medical students in Malaysia. Asia-Pacific Journal of Public Health 20(10):1–12, 2012.
29.
go back to reference Lee K, Lee HK, Gyeong H, Yu B, Song YM, Kim D: Reliability and validity of the Korean version of the Internet Addiction Test among college students. Journal of Korean Medical Science 28:763–8, 2013.PubMedCentralCrossRefPubMed Lee K, Lee HK, Gyeong H, Yu B, Song YM, Kim D: Reliability and validity of the Korean version of the Internet Addiction Test among college students. Journal of Korean Medical Science 28:763–8, 2013.PubMedCentralCrossRefPubMed
31.
go back to reference Tsimtsiou Z, Haidich A-B, Kokkali S, Dardavesis T, Young KS, Arvanitidou M: Greek version of the Internet Addiction Test: a validation study. Psychiatric Quarterly 85(2):187–95, 2014.CrossRefPubMed Tsimtsiou Z, Haidich A-B, Kokkali S, Dardavesis T, Young KS, Arvanitidou M: Greek version of the Internet Addiction Test: a validation study. Psychiatric Quarterly 85(2):187–95, 2014.CrossRefPubMed
32.
go back to reference Chang MK, Law SPM: Factor structure for Young’s Internet addiction test: a confirmatory study. Computers in Human Behavior 24:2597–619, 2008.CrossRef Chang MK, Law SPM: Factor structure for Young’s Internet addiction test: a confirmatory study. Computers in Human Behavior 24:2597–619, 2008.CrossRef
33.
go back to reference Lai CM, Mak KK, Watanabe H, Ang RP, Pang JS, Ho RC: Psychometric properties of the Internet addiction test in Chinese adolescents. Journal of Pediatric Psychology 38(7): 794–807, 2013.CrossRefPubMed Lai CM, Mak KK, Watanabe H, Ang RP, Pang JS, Ho RC: Psychometric properties of the Internet addiction test in Chinese adolescents. Journal of Pediatric Psychology 38(7): 794–807, 2013.CrossRefPubMed
34.
go back to reference Ngai SS: Exploring the validity of the Internet Addiction Test for students in grades 5–9 in Hong Kong. International Journal of Adolescence & Youth 13:221–37, 2007.CrossRef Ngai SS: Exploring the validity of the Internet Addiction Test for students in grades 5–9 in Hong Kong. International Journal of Adolescence & Youth 13:221–37, 2007.CrossRef
35.
go back to reference Hawi NS. Arabic validation of the internet addiction test. Cyberpsychology, Behavior & Networking 16(3):200–4, 2013.CrossRef Hawi NS. Arabic validation of the internet addiction test. Cyberpsychology, Behavior & Networking 16(3):200–4, 2013.CrossRef
36.
go back to reference Korkeila J, Kaarlas S, Jääskeläinen M, Vahlberg T, Taiminen T: Attached to the web—harmful use of the Internet and its correlates. European Psychiatry 25:236–41, 2010.CrossRefPubMed Korkeila J, Kaarlas S, Jääskeläinen M, Vahlberg T, Taiminen T: Attached to the web—harmful use of the Internet and its correlates. European Psychiatry 25:236–41, 2010.CrossRefPubMed
37.
go back to reference Khazaal Y, Chatton A, Horn A, Achab S, Thorens G, Zullino D, Billieux J: French validation of the Compulsive Internet Use Scale (CIUS). Psychiatric Quarterly 83(4): 397–405, 2012.CrossRefPubMed Khazaal Y, Chatton A, Horn A, Achab S, Thorens G, Zullino D, Billieux J: French validation of the Compulsive Internet Use Scale (CIUS). Psychiatric Quarterly 83(4): 397–405, 2012.CrossRefPubMed
38.
go back to reference Bai Y, Fan F: A study on the Internet dependence of college students: the revising and applying of a measurement. Psychological Development and Education 4:99–104, 2005. Bai Y, Fan F: A study on the Internet dependence of college students: the revising and applying of a measurement. Psychological Development and Education 4:99–104, 2005.
39.
go back to reference Kwok-Kei M, Ching-Man, Lai Ko CH, Chou C, Kim DII, Watanabe H, Ho RCM: Psychometric properties of the Revised Chen Internet Addiction Scale (CIAS-R) in Chinese adolescents. Journal of Abnormal Child Psychology, 42(7):1237–45, 2014.CrossRef Kwok-Kei M, Ching-Man, Lai Ko CH, Chou C, Kim DII, Watanabe H, Ho RCM: Psychometric properties of the Revised Chen Internet Addiction Scale (CIAS-R) in Chinese adolescents. Journal of Abnormal Child Psychology, 42(7):1237–45, 2014.CrossRef
40.
go back to reference American Psychological Association: Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing, Washington, DC, 1994. American Psychological Association: Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing, Washington, DC, 1994.
41.
go back to reference Griffiths M: Internet addiction: fact or fiction? Psychologist 12:246–50, 1999. Griffiths M: Internet addiction: fact or fiction? Psychologist 12:246–50, 1999.
42.
go back to reference Brown RIF: Some contributions of the study of gambling to the study of other addictions. In: Eadington WR, Cornelius JA (Eds.), Gambling behavior and problem gambling. University of Nevada, Reno, pp. 241–72, 1993. Brown RIF: Some contributions of the study of gambling to the study of other addictions. In: Eadington WR, Cornelius JA (Eds.), Gambling behavior and problem gambling. University of Nevada, Reno, pp. 241–72, 1993.
43.
44.
go back to reference Khazaal Y, Chatton A, Atwi K, Zullino D, Khan R, Billieux J: Arabic validation of the Compulsive Internet Use Scale (CIUS). Substance Abuse Treatment, Prevention, and Policy 6:32, 2011.PubMedCentralCrossRefPubMed Khazaal Y, Chatton A, Atwi K, Zullino D, Khan R, Billieux J: Arabic validation of the Compulsive Internet Use Scale (CIUS). Substance Abuse Treatment, Prevention, and Policy 6:32, 2011.PubMedCentralCrossRefPubMed
45.
go back to reference Wartberg L, Petersen KU, Kammerl R, Rosenkranz M, Thomasius R: Psychometric validation of a German version of the compulsive Internet use scale, Cyberpsychology Behavior & Social Networking 17(2): 99–103, 2014.CrossRef Wartberg L, Petersen KU, Kammerl R, Rosenkranz M, Thomasius R: Psychometric validation of a German version of the compulsive Internet use scale, Cyberpsychology Behavior & Social Networking 17(2): 99–103, 2014.CrossRef
46.
go back to reference Alavi SS, Jannatifard F, Eslami M, Rezapour H: Validity, reliability and factor analysis of compulsive internet use scale in students of Isfahan’s universities. Health Information Management 7:724, 2011. Alavi SS, Jannatifard F, Eslami M, Rezapour H: Validity, reliability and factor analysis of compulsive internet use scale in students of Isfahan’s universities. Health Information Management 7:724, 2011.
47.
go back to reference Kaiser HA: A second generation little jiffy. Psychometrika 35:401–15, 1970.CrossRef Kaiser HA: A second generation little jiffy. Psychometrika 35:401–15, 1970.CrossRef
48.
go back to reference Vander Aa N, Overbeek G, Engels RCME, Scholte RHJ, Meerkerk GJ, Vanden Eijnden RJJM: Daily and compulsive internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits. Journal of Youth Adolescence 38:765–76, 2009.CrossRefPubMed Vander Aa N, Overbeek G, Engels RCME, Scholte RHJ, Meerkerk GJ, Vanden Eijnden RJJM: Daily and compulsive internet use and well-being in adolescence: a diathesis-stress model based on big five personality traits. Journal of Youth Adolescence 38:765–76, 2009.CrossRefPubMed
49.
go back to reference Little RJA, Rubin DB: Statistical analysis with missing data. Wiley, New York, 1987. Little RJA, Rubin DB: Statistical analysis with missing data. Wiley, New York, 1987.
50.
go back to reference Acock AC: Working with missing values. Journal of Marriage and Family 67:1012–28, 2005.CrossRef Acock AC: Working with missing values. Journal of Marriage and Family 67:1012–28, 2005.CrossRef
51.
go back to reference Fichman M, Cummings JN: Multiple imputations for missing data: making the most of what you know. Organizational Research Methods 6(3),282–95, 2003.CrossRef Fichman M, Cummings JN: Multiple imputations for missing data: making the most of what you know. Organizational Research Methods 6(3),282–95, 2003.CrossRef
52.
go back to reference Schafer JL, Graham JW: Missing data: our view of the state of the art. Psychological Methods 7:147–77, 2002.CrossRefPubMed Schafer JL, Graham JW: Missing data: our view of the state of the art. Psychological Methods 7:147–77, 2002.CrossRefPubMed
53.
go back to reference Allison PD: Missing data. Sage Publishers, Thousand Oaks, 2001. Allison PD: Missing data. Sage Publishers, Thousand Oaks, 2001.
54.
go back to reference Pigott TD: A review of methods for missing data. Educational Research and Evaluation 7:353–83, 2001.CrossRef Pigott TD: A review of methods for missing data. Educational Research and Evaluation 7:353–83, 2001.CrossRef
55.
go back to reference Van Dam NT, Earleywine M, Borders A. Measuring mindfulness? An item response theory analysis of the Mindful Attention Awareness Scale. Personality and Individual Differences 49;805–10, 2010.CrossRef Van Dam NT, Earleywine M, Borders A. Measuring mindfulness? An item response theory analysis of the Mindful Attention Awareness Scale. Personality and Individual Differences 49;805–10, 2010.CrossRef
56.
go back to reference Tabachnick BG, Fidell LS: Using Multivariate Statistics. Harper Collins, New York pp. 66–70, 1996. Tabachnick BG, Fidell LS: Using Multivariate Statistics. Harper Collins, New York pp. 66–70, 1996.
57.
go back to reference Stevens J: Applied multivariate statistics for the social sciences. Lawrence Erlbaum Associate, Mahwah, 1996. Stevens J: Applied multivariate statistics for the social sciences. Lawrence Erlbaum Associate, Mahwah, 1996.
58.
go back to reference Byrne MB: Structural equation modeling with AMOS. Basic concepts, applications, and programming. Taylor & Francis, New York, 2001. Byrne MB: Structural equation modeling with AMOS. Basic concepts, applications, and programming. Taylor & Francis, New York, 2001.
59.
go back to reference George D, Mallery P: SPSS for Windows step by step: a simple guide and reference. 11.0 update (4th ed.). Allyn and Bacon, Boston, 2003. George D, Mallery P: SPSS for Windows step by step: a simple guide and reference. 11.0 update (4th ed.). Allyn and Bacon, Boston, 2003.
60.
go back to reference Hair JF, Anderson RE, Tatham RL, Black WC: Multivariate data analysis. Prentice Hall, London, 1998. Hair JF, Anderson RE, Tatham RL, Black WC: Multivariate data analysis. Prentice Hall, London, 1998.
61.
go back to reference DeVellis RF: Scale development: theory and applications, applied social research methods. Sage Publications, Thousand Oaks, pp. 1–216, 2003. DeVellis RF: Scale development: theory and applications, applied social research methods. Sage Publications, Thousand Oaks, pp. 1–216, 2003.
62.
go back to reference Streiner D: Starting at the beginning: an introduction to co-efficient alpha and internal consistency. Journal of Personality Assessment 80:99–103, 2003.CrossRefPubMed Streiner D: Starting at the beginning: an introduction to co-efficient alpha and internal consistency. Journal of Personality Assessment 80:99–103, 2003.CrossRefPubMed
63.
64.
go back to reference Bartlett MS: A note on multiplying factors for various Chi square approximations. Journal of the Royal Statistical Society 16:296–8, 1954. Bartlett MS: A note on multiplying factors for various Chi square approximations. Journal of the Royal Statistical Society 16:296–8, 1954.
65.
go back to reference O’Connor B: 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.CrossRef O’Connor B: 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.CrossRef
66.
go back to reference Velicer WF: Determining the number of components from the matrix of partial correlations. Psychometrika 41:321–327, 1976.CrossRef Velicer WF: Determining the number of components from the matrix of partial correlations. Psychometrika 41:321–327, 1976.CrossRef
67.
go back to reference Catell RB. The Scree Test for number of factors. Multivariate Behavioral Research 1;245–76, 1966.CrossRef Catell RB. The Scree Test for number of factors. Multivariate Behavioral Research 1;245–76, 1966.CrossRef
68.
go back to reference Schumacker RE, Lomax RG: A beginner’s guide to structural equation modeling. Routledge, New York, 2004. Schumacker RE, Lomax RG: A beginner’s guide to structural equation modeling. Routledge, New York, 2004.
69.
go back to reference Kline RB: Principles and practice of structural equation modeling, 3rd edn. Guilford Press, New York, 2011. Kline RB: Principles and practice of structural equation modeling, 3rd edn. Guilford Press, New York, 2011.
70.
go back to reference Browne MW, Cudeck R: Alternative ways of assessing model fit. In: Bollen KA, Long JS (Eds.), Testing structural equation models. Sage, Beverly Hills, pp. 136–62, 1993. Browne MW, Cudeck R: Alternative ways of assessing model fit. In: Bollen KA, Long JS (Eds.), Testing structural equation models. Sage, Beverly Hills, pp. 136–62, 1993.
71.
go back to reference Hu LT, Bentle PM: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 6:1–55, 1999.CrossRef Hu LT, Bentle PM: Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 6:1–55, 1999.CrossRef
72.
go back to reference Choi K Son H, Park M, Han J, Kim K, Lee B, Gwak H: Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences 63:455–62, 2009.CrossRefPubMed Choi K Son H, Park M, Han J, Kim K, Lee B, Gwak H: Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences 63:455–62, 2009.CrossRefPubMed
73.
go back to reference Khazaal Y, Billieux J, Thorens G, Khan R, Louati Y, Scarlatti E, Theintz F, Lederrey J, Van der Linden M, Zullino D: French validation of the internet addiction test. Cyberpsychology Behavior 11: 703–706, 2009.CrossRef Khazaal Y, Billieux J, Thorens G, Khan R, Louati Y, Scarlatti E, Theintz F, Lederrey J, Van der Linden M, Zullino D: French validation of the internet addiction test. Cyberpsychology Behavior 11: 703–706, 2009.CrossRef
Metadata
Title
Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents
Authors
Amandeep Dhir
Sufen Chen
Marko Nieminen
Publication date
01-12-2015
Publisher
Springer US
Published in
Psychiatric Quarterly / Issue 4/2015
Print ISSN: 0033-2720
Electronic ISSN: 1573-6709
DOI
https://doi.org/10.1007/s11126-015-9351-9

Other articles of this Issue 4/2015

Psychiatric Quarterly 4/2015 Go to the issue