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Abstract

The past few years have witnessed great developments in Internet infrastructure, which have led to increased Internet usage among people of various age groups. However, at the same time, there have been some negative implications associated with increased Internet usage for some individuals. “Internet addiction” (IA) is one such negative consequence of excessive Internet use among users. The present study investigates the psychometric properties of the Internet addiction test (IAT) with a total of 1,914 junior and senior high school students from India. The collected data were subjected to exploratory and confirmatory factor analyses, in addition to various other statistical tests. The study results show that a one-factor model for IAT demonstrates good psychometric properties and fits extremely well with our data. The present study provides empirical evidence that the IAT is a valid and reliable instrument for measuring IA. The study concludes with several theoretical and practical implications for IA research.

Keywords

Adolescents cross-sectional survey Internet addiction test Internet addiction psychometric validation

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References

Barke

Nyenhuis

Kröner-Herwig

(2012) The German version of the internet addiction test: A validation study. Cyberpsychology, Behavior, and Social Networking 15(10): 534–542. doi:10.1089/cyber.2011.0616.

Bartlett

M. S.

(1954) A note on multiplying factors for various chi-square approximations. Journal of the Royal Statistical Society 16: 296–298.

Bauer

J. M.

Gai

Kim

J.-H.

Muth

Wildman

(2002) Broadband: Benefits and policy challenges, A report prepared for Merit Network, Inc.

Browne

M. W.

Cudeck

(1993) Alternative ways of assessing model fit. In: Bollen

K. A.

Long

J. S.

(eds) Testing structural equation models, Newbury Park, CA: Sage publishers, pp. 136–162.

Carmines

E. G.

McIver

J. P.

(1981) Analyzing models with unobserved variables: Analysis of covariance structures. In: Bohrnstedt

Borgatta

(eds) Social measurement: Current issues, Thousand Oaks, CA: Sage Publishers, pp. 65–115.

Catell

R. B.

(1966) The scree test for number of factors. Multivariate Behavioral Research 1: 245–276.

Chang

M. K.

Law

S. P. M.

(2008) Factor structure for Young’s Internet addiction test: A confirmatory study. Computers in Human Behavior 24: 2597–2619.

Chen

W. J.

Boase

Wellman

(2002) The global villagers: Comparing Internet users and uses around the world. In: Wellman

Haythornthwaite

(eds) The Internet in everyday life, Oxford, Engalnd: Blackwell, pp. 74–113.

Cronbach

Meehl

(1955) Construct validity in psychological tests. Psychological Bulletin 52: 281–302.

10.

Davis

R. A.

(2001) A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior 17: 187–195.

11.

DeVellis, R. F. (2003). Scale development: Theory and applications. (2nd ed., Vol. 26, pp. 1–216). Thousand Oaks, CA: Sage Publications.

12.

Dhir, A. (2015). On the Nature of Internet Addiction: What is it and how is it measured? (PhD thesis). University of Helsinki, Finland. Retrieved from https://helda.helsinki.fi/handle/10138/155069.

13.

Ferraro

Caci

D’Amico

Blasi

M. D.

(2004) Internet addiction disorder: An Italian study. Cyberpsychology & Behavior 10: 170–175.

14.

Griffiths

Wood

R. T. A.

(2000) Risk factors in adolescence: The case of gambling, videogame playing, and the Internet. Journal of Gambling Studies 16: 199–225.

15.

Guan

C. G.

Isa

S. M.

Hashim

A. H.

Pillai

S. K.

Harbajan Singh

M. K.

(2012) 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. doi:10.1177/1010539512447808.

16.

Hair

Black

Babin

Anderson

Tatham

(2006) Multivariate data analysis, 6th ed. Uppersaddle River, NJ: Pearson Prentice Hall.

17.

Hair

J. F.

Anderson

R. E.

Tatham

R. L.

Black

W. C.

(1998) Multivariate data analysis, London, England: Prentice Hall.

18.

Hampton

K. N.

Wellman

(2003) Neighboring in Netville: How the Internet supports community and social capital in a wired suburb. City and Community 2(4): 277–311.

19.

Hawi

N. S.

(2013) Arabic validation of the Internet addiction test. Cyberpsychology, Behavior & Networking 16(3): 200–204.

20.

L. T.

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.

21.

India Internet Users. (2013). India is now world’s third largest Internet user after U.S., China. Retrieved from http://www.thehindu.com/sci-tech/technology/internet/india-is-now-worlds-third-largest-internet-user-after-us-china/article5053115.ece.

22.

India Mobile Internet Users. (2013). More than 90 percent mobile Internet users in India are men. Retrieved from http://tech2.in.com/news/mobile-phones/more-than-90-percent-mobile-internet-users-in-india-are-men/914080.

23.

Internet Users by Country. (2015). Internet Users by Country. Retrieved from www.internetlivestats.com/internet-users/.

24.

Jelenchick

L. A.

Becker

Moreno

M. A.

(2012) Assessing the psychometric properties of the Internet addiction test (IAT) in US college students. Psychiatry Research 196: 296–301.

25.

Khazaal

Billieux

Thorens

Khan

Louati

Scarlatti

Zullino

(2008) French validation of the Internet addiction test. Cyberpsychology and Behavior 11: 703–706.

26.

Kaiser

H. A.

(1970) A second generation little Jiffy. Psychometrika 35: 401–415.

27.

Kang

(2007) Disembodiment in online social interaction: Impact of online chat on social support and psychosocial well-being. Cyberpsychology & Behavior 10(3): 475–477.

28.

Katz

J. E.

Aspden

(1997) A nation of strangers? Communications of the ACM 40(12): 81–86.

29.

Kesici

Sahin

(2010) Turkish adaptation study of Internet Addiction Scale. Cyberpsychology, Behavior, and Social Networking 13(2): 185–189. doi:10.1089/cyber.2009.0067.

30.

Korkeila

Kaarlas

Jaüaüskelaüinen

Vahlberg

Taiminen

(2010) Attached to the web – Harmful use of the Internet and its correlates. European Psychiatry 25: 236–241.

31.

Lai

C. M.

Mak

K. K.

Watanabe

Ang

R. C.

(2013) Psychometric properties of the Internet Addiction Test in Chinese adolescents. Journal of Pediatric Psychology 38: 794–807.

32.

Liu

Potenza

M. N.

(2007) Problematic internet use: Clinical implications. CNS Spectrums 12: 453–466.

33.

Nalwa

Anand

A. P.

(2003) Internet addiction in students: A cause of concern. CyberPsychology and Behavior 6: 653–656.

34.

Nazir

S. H.

Blachnio

Przepiorka

(2015) Polish validation of the Internet Addiction Test. Computers in Human Behavior 48: 548–553. doi:10.1016/j.chb.2015.01.058.

35.

Nunnally

J. C.

Bernstein

I. H.

(1994) Psychometric theory, 3rd ed. New York, NY: McGraw-Hill.

36.

Panayides

Walker

M. J.

(2012) Evaluation of the psychometric properties of the Internet Addiction Test (IAT) in a sample of Cypriot high school students: The Rasch measurement perspective. Europe’s Journal of Psychology 8(3): 327–351.

37.

Pontes

H. M.

Patrão

I. M.

Griffiths

M. D.

(2014) Portuguese validation of the Internet Addiction Test: An empirical study. Journal of Behavioral Addictions 3(2): 107–114.

38.

Pratarelli

M. E.

Browne

B. L.

(2002) Confirmatory factor analysis of Internet use and addiction. Cyberpsychology and Behavior 5: 53–64.

39.

Tavakol

Dennick

(2011) Making sense of Cronbach’s alpha. International Journal of Medical Education 2: 53–55.

40.

Timmerman

M. E.

Lorenzo-Seva

(2011) Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods 16: 209–220.

41.

Velicer

W. F.

(1976) Determining the number of components from the matrix of partial correlations. Psychometrika 41: 321–327.

42.

Widyanto

Griffiths

M. D.

Brunsden

V. A.

(2011) Psychometric comparison of the Internet addiction test, the Internet-related problem scale, and self-diagnosis. Cyberpsychology, Behavior, and Social Networking 14: 141–149.

43.

Widyanto

McMurran

(2004) The psychometric properties of the internet addiction test. Cyberpsychology & Behavior 7: 443–450.

44.

Yadav

Banwari

Parmar

Maniar

(2013) Internet addiction and its correlates among high school students: A preliminary study from Ahmedabad, India. Asian Journal of Psychiatry 6(6): 500–505.

45.

Young

K. S.

(1996) Pathological Internet use: A case that breaks the stereotype. Psychological Reports 79: 899–902.

46.

Young

K. S.

(1998) Caught in the net: How to recognize the signs of Internet addiction—And a winning strategy for recovery, New York, NY: John Wiley & Sons.

47.

Young

K. S.

Case

C. J.

(2004) Internet abuse in the workplace: New trends in risk management. Cyberpsychology & Behavior 7: 105–111.

Psychometric Validation of Internet Addiction Test With Indian Adolescents

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