Journals / Klinik Psikiyatri Dergisi / 2013 / Cilt: 16 - Sayı: 3

Prevalence of Pathological Internet Use Among High School Students

Lise Öğrencileri Arasynda Patolojik İnternet Kullanımının Yaygınlığı: Kocaeli Örneği

Pages
148–156
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition these findings can be used ininforming students, teachers and parents.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objectives: The aim of this study is to investigate theprevelance of pathological Internet use of high schoolstudents in Kocaeli and to test Turkish form of pathological Internet use scale (PIUS) with confirmatory factoranalysis (CFA).
📊
Key Findings & Data:Method: The study was designed in survey study model and 857students from different highschools constituted the sample group of the study whichwas determined by simple random sampling of probability sampling method.
💡
Conclusion & Impact:In addition these findings can be used ininforming students, teachers and parents.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objectives: The aim of this study is to investigate theprevelance of pathological Internet use of high schoolstudents in Kocaeli and to test Turkish form of pathological Internet use scale (PIUS) with confirmatory factoranalysis (CFA). Method: The study was designed in survey study model and 857students from different highschools constituted the sample group of the study whichwas determined by simple random sampling of probability sampling method. A sociodemographic form andpathological Internet use scale were used in order to collect data. Results: Results of the study were basicallyobtained in 4 phases. In the first phase, coefficient ofinternal consistency for reliability of Turkish form of PIUSwas determined as (? 0.89). In the second phase, a nonnormal distribution in the scores of PIUS was determined(p< 0.001). In the third phase 9 (%1.1) high school students in the sample group were determined to be pathological Internet user. In the last phase male gender, feeling free, hiding identity during online and feeling regretafter Internet use was determined to be associated withpathological Internet use. Conclusion: The findings ofthis study can guide academicians, educators, cliniciansand researchers who study on preventing pathologicalInternet use. In addition these findings can be used ininforming students, teachers and parents.

Özet

Amaç: Bu çaly?mada Kocaeli bölgesindeki lise ö?rencileriarasynda patolojik internet kullanymynyn yaygynly?ynynbelirlenmesi ve patolojik internet kullanym ölçe?inin(PYKÖ) Türkçe formunun do?rulayycy faktör analizi (DFA)ile test edilmesi amaçlanmy?tyr. Yöntem: Tarama modelinde tasarlanan bu çaly?manyn örneklem grubunu basittesadüfi örnekleme yöntemiyle belirlenen farkly liselerden857 ö?renci olu?turmu?tur. Verilerin toplanmasyndasosyodemografik veri formu ve patolojik internet kullanym ölçe?i kullanylmy?tyr. Bulgular: Çaly?mada bulgulartemel olarak 4 a?amada toplanmy?tyr. Birinci a?amadagerçekle?tirilen do?rulayycy faktör analizi sonucundapatolojik internet kullanym ölçe?inin Türkçe formunungüvenirlik için iç tutarlylyk katsayysy (? 0.89) olarak tespitedilmi?tir. Ykinci a?amada patolojik internet kullanymypuanlarynyn normal da?ylym göstermedi?i belirlenmi?tir(p<0.001). Üçüncü a?amada örneklem grubundaki 9(%1.1) ö?renci patolojik internet kullanycysy olarak tespitedilmi?tir. Son a?amada ise erkek cinsiyetin, internetortamynda kendisini özgür hissetmenin, kimlik gizlemenin ve internet kullanymyndan sonra pi?manlyk hissetmenin patolojik internet kullanymyna yatkynlykla dahaili?kili oldu?u saptanmy?tyr. Sonuç: Bu çaly?manyn sonucunda elde edilen bulgular, patolojik internet kullanymynyn önlenmesi ve tedavisi üzerine çaly?an e?itimci,akademisyen, klinisyen ve ara?tyrmacylara yol göstericiolabilir. Ayny zamanda bu tür bulgular, patolojik internetkullanymy ve zararlary konusunda ö?rencileri, ö?retmenleri ve velileri bilgilendirme çaly?malarynda kullanylabilir.

🔖

Cite This Article

ŞAHİN, M., ÇAKIR, U., DEMİRBAŞ, E. Ç., POLAT, A. Ö. (2013). Prevalence of Pathological Internet Use Among High School Students. Klinik Psikiyatri Dergisi, Cilt: 16 - Sayı: 3, 148–156. https://ajindex.com/articles/208878

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Amerikan Psikiyatri Birli?i (APA) (2000) Psikiyatride Hastalyklaryn Tanymlanmasy ve Synyflandyrylmasy Elkitaby (DSM- IV-TR) (Çev Ed: E Köro?lu), Hekimler Yayyn Birli?i, Ankara.
  2. Aslanbay M (2006) A Compulsive Consumption: Internet Use Addiction Tendency The Case of Turkish High School Students. Yayynlanmamy? yüksek lisans tezi, Marmara Üniversitesi Sosyal Bilimler Enstitüsü. Balta Ç, Horzum MB (2008) Ynternet Ba?ymlyly?y Testi. E?itim Bilimleri ve Uygulama, 7: 87-102.
  3. Bakken IJ, Wenzel HG, Götestam KG ve ark. (2009) Internet Addiction among Norwegian Adults: A Stratified Probability Sample Study. Scand J Rehab Med, 50:121-127.
  4. Bayraktar F (2001) Ynternet Kullanymynyn Ergen Geli?imindeki Rolü. Yayynlanmamy? yüksek lisans tezi, Ege Üniversitesi Sosyal Bilimler Enstitüsü. Bayraktar F, Gün Z (2007) Incidence and corraletes of internet usage among adolescents in North Cyprus. Cyberpsychol Behav, 10:191-197.
  5. Beard K, Wolf E (2001) Modification in the proposed diagnos- tic criteria for internet addiction. Cyberpsychol Behav, 4:377- Bölükba? K (2003) Ynternet Kafeler ve Ynternet Ba?ymlyly?y Üzerine Sosyolojik Bir Ara?tyrma: Diyarbakyr Örne?i. Yayynlanmamy? yüksek lisans tezi, Dicle Üniversitesi Sosyal Bilimler Enstitüsü. Byun S, Ruffini C, Mills JE ve ark. (2009) Internet addiction: Metasynthesis of 1996-2006 quantitative research. Cyberpsychol Behav, 12:203-207.
  6. Ceyhan AA (2011) Ergenlerin problemli internet kullanym düzeylerinin yordayycylary. Çocuk ve Gençlik Ruh Sa?ly?y Dergisi, 18:85-94.
  7. Chak K, Leung L (2004) Shyness and locus of control as predic- tors of internet addiction and internet use. Cyberpsychol Behav, 7:559-570.
  8. Çakyr Balta Ö, Horzum MB (2008) Web tabanly ö?retim ortamyndaki ö?rencilerin internet ba?ymlyly?yny etkileyen faktör- ler. Ankara Üniversitesi E?itim Bilimleri Fakültesi Dergisi, 41:185-203.
  9. Davis RA, Flett GL, Besser A (2002) Validation of a new scale for measuring problematic Internet use: implications for pre- employment screening. Cyberpsychol Behav, 5:331-345.
  10. Demetrovics Z, Szeredi B, Rózsa S (2008) The three-factor model of internet addiction: The development of the problem- atic internet use questionnaire. Behav Res Methods, 40:563-574.
  11. DiConsiglio J (2008) Game Over: For Most People, Online Gaming is Just a Hobby. For Others It is a Dangerous -Even Deadly- Addiction. Scholastic Choices, 1: 6-9.
  12. DiNicola MD (2004) Pathological internet use among college students: The prevalence of pathological Internet use and its correlates. Unpubl