$\require{mediawiki-texvc}$
  • 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
안녕하세요!
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보

인터넷중독 측정도구와 한국형 인터넷중독지표의 개발

Development of Internet Addiction Measurement Scales and Korean Internet Addiction Index

Abstract

Objectives : To develop measurement scales of Internet addiction, and propose a Korean Internet Addiction Index (K-IAI) and classification criteria for Internet addiction from the threshold scores developed. Methods : The identification of the concept of 'Internet addiction' was based on the literature review. To select the scales, an exploratory factor analysis was applied. A construct validation was tested by a confirmatory factor analysis (CFA) with a structured equation model (SEM). In testing the validity of the classification criteria, ANOVA and non-recursive models with SEM were applied. Results : Out of 1,080 questionnaires distributed, 1,037 were returned,; a response rate of 96%. The Cronbach-$\alpha$ of all items was over 0.75. Using an exploratory factor analysis in the condition of a 6 factor constrain as the study model proposed, 23 of the initial 28 items were identified. In testing the discriminant and convergent validity of the selected 23 scales using CFA with SEM, the Internet addiction model explained about 93% of all variances of the data collected, and all the latent variables significantly explained the designated scales. A K-IAI was proposed using the T-scores of the sum of all factor averages. In the classification of users, the basic concept was a twostandard deviation approach of the K-IAI as the criteria of MMPI. The addiction group had a score ${\geq}70$ in the K-IAI, the pre-addiction group between ${\geq}50$ and <70, and the average user group <50. The Internet use times of the classified groups were statistically different in the ANOVA and multiple comparisons. Conclusions : The K-IAI is a reliable and valid instrument for measuring Internet addiction. Moreover, the taxonomy of the groups was also verified using various methods.

저자의 다른 논문

참고문헌 (37)

  1. Goldberg I. Internet addiction electronic message posted to research discussion list. 1996 [cited 2004 Aug 8]; Available from: URL:http://www.rider.edu/users/suler/psycyber/supportgp.html 
  2. Brenner V. Psychology of computer use XLVII: Parameters of internet use, abuse and addiction: The first 90 days of the internet usage survey. Psychol Rep 1997; 80: 879-882 
  3. OReilly M. Internet addiction: A new disorder enters the medical lexicon. Can Med Asso J 1996; 154(12): 1882-1883 
  4. Shaffer HJ, Hall MN, Bilt JV. Computer addiction: A critical consideration. Am J Orthopsychiatric 2000; 90(2): 162-168 
  5. Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1996; 1(3): 237-244 
  6. YoungKS. Psychology of computer use: XL. Addictive use of the internet: A case that breaks the stereotype. Psychol Rep 1996; 79: 899-902 
  7. Davis RA. A cognitive behavior model of pathological Internet use. Compt in Human Behav 2001; 17(2): 187-195 
  8. Pratarell ME, Browne BL, and Johnson K. The bits and bytes of computer/internet addiction: a factor analytic approach. behavior research methods, Instrum Comput 1999; 31(2): 305-314 
  9. Griffiths M. Psychology of computer use: some comments on addictive use of the internet by young. Psychol Rep 1997; 80: 81-82 
  10. Griffiths M. Dose internet and computer addiction exist? Some case evidence. Proceed ings of the 105th Annual Conference of the American Psychological Association 1997 Aug 15, Chicago, IL 
  11. Griffiths M. Internet addiction: Does it exist? In J.E. Gackenbach(Ed.), Psychology and the Ineternet: Interpersonal, interpersonal and transpersonal implications. New York: American Press; 1998 p. 61-75 
  12. Pratarell ME, Browne BL. Confirmatory factor analysis of internet use and addiction. Cyberpsychol Behav 2002; 5(1): 53-64 
  13. Charlton JP. A factor analytic investigation of computer addiction and engagement. Br J Psychol 2002; 93(3): 329-344 
  14. Kim EJ, Lee SY, Oh SG. The validation of korean adolescent internet addiction scales. Korean J Clinical Psychol 2003; 22(1): 125- 139 (Korean) 
  15. Kang MC, Oh IS. Development of Korean internet addiction scales. Korea J Youth Counseling 2001; 9: 114-135 (Korean) 
  16. Young KS. Caught in the net: How to recognize the sings of internet addiction and a winning strategy for recovery. New York: John Wiley & Sons, Inc; 1998 
  17. Kim CT, Kim DI, Park JK, Lee SJ. A study on internet addiction counseling and the development of prevention programs. Ministry of Information and Communication; 2002 (Korean) 
  18. Song SM, Lee HK. The effect of dependency and acculturation on Internet addiction in adolescents. Studies on Korean Youth 2002; 13(1): 107-131 (Korean) 
  19. Kim JB, Han JC. A study on characteristics of internet addicts sub-groups. Korean J Counseling & Psychotherapy 2001; 13(2): 207-219 (Korean) 
  20. Lee SB, Lee KK, Paik KC, Kim HW, Shin SK. Relationship between Internet addiction and anxiety, depression, and self efficacy in middle and high school students. J Korea Neuropsychiatr Assoc 2001; 40(6): 1174-1184 (Korean) 
  21. Kim HJ, Lee SJ, Woo JI, Jo HS, Kweon HJ. The Internet using pattern and addiction relating factor analysis of adolesencents in Korea. J Korean Acad Fam Med 2002; 23(3): 334-343 (Korean) 
  22. Lee MS, Oh EY, Cho SM, Hong MJ, Moon JS. An assessment of adolescent internet addiction problems related to depression social anxiety and peer relationship. J Korea Neuropsychiatr Assoc 2001; 40(4): 616-626 (Korean) 
  23. Shaffer HJ, Hall MN, Vander Bilt J. Computer addiction: A critical consideration. Am J Orthopsychiatry 2000; 70(2): 162-168 
  24. DuPont RL. Addiction: a new paradigm. Bull Menninger Clin 1998; 62(2): 231-242 
  25. Epprigth T, Allowed M, Stern B, Theiss T. Internet addiction: a new type of addiction? Mo Med 1999; 96(4): 133-137 
  26. American Psychiatric Association. Diagnostic and statistical manual of mental disorder(4th edition). Washington DC, 1994 
  27. Brown RIF. Gaming , gambling and other addictive play. In J. H. Kerr & M. J. Apter(Eds.), adult play: A reversal theory approach, Amsterdam:Swets & Zeitlinger; 1991. p. 101-118 
  28. Brown RIF. Some contributions of the study of gambling to the student of other addictions. In W.R. Eadington & J. A. Cornelius(Eds.), Gambling behavior and problem gambing. Reno, NV: University of Nevada; 1993. p. 241-272 
  29. Bohrnstedt GW, Reliability and validity assessment in attitude measurement in attitude measurement, G.F. Summers (ed), Rand McNally, Chicago, IL; 1970. p. 80-99 
  30. Hatcher L. A Step by step approach to using SAS system for factor analysis and structural equation modeling. SAS Institutes Inc; 1996. p. 254 
  31. Agarwal R. Prasad J, A conceptual and operational definition of personal innovativenes s in the domain of information system. ISR 1998; 9(2): 204-215 
  32. Arbuke JL, Wothke W. AMOS 4.0 User's guide. SmallWaters Corporation; 1999. p. 173 
  33. Koh SB, Jang SJ, Kang MK, Cha BS, Park JK. Reliability and validity on measurement instrument for health status assessment in occupational workers. Korean J Prev Med 1997; 30(2): 251-266 (Korean) 
  34. Yoo WS, Shin YJ, Nam JH. Development and evaluation of the relability and validity of the VSSS-82 korean version for measuring satisfaction with community-based mental health services in psychiatric patients. Korean J Prev Med 2001; 34(3): 211-218 (Korean) 
  35. Yaung JS, Jun JH. A trial for development of health profile(KHP 1.0) to measure. Korean J Prev Med 2003; 36(1): 11-23 (Korean) 
  36. Campbell DT, Fiske DW. Convergent and discriminant validation by the multitraitmultimethod matrix. Psychol Bull 1959; 56(9): 81-105 
  37. Hahn HM, Yum TH, Shin YW, Kim KH, Yoon DJ, Chung KJ. A standardization study of beck depression inventory in Korea. J Korean Neuropsychiatr Assoc 1986; 25(3): 487-500 (Korean) 

이 논문을 인용한 문헌 (0)

  1. 이 논문을 인용한 문헌 없음

원문보기

원문 PDF 다운로드

  • ScienceON :
  • KCI :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. (원문복사서비스 안내 바로 가기)

상세조회 0건 원문조회 0건

이 논문과 연관된 기능

DOI 인용 스타일