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Cited by 434Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyChild Development and Digital Technology

The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.

Development of Korean Smartphone Addiction Proneness Scale for Youth

Open access
Kim, Dongil, Lee, Yunhee, Lee, Juyoung, Nam, JeeEun Karin, Chung, Yeoju·2014·PLoS ONE
DOI 10.1371/journal.pone.0097920PMC PMC4029762
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Abstract

This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet and cellular phone addiction scales. For the development of this scale, 29 items (1.5 times the final number of items) were initially selected as preliminary items, based on the previous studies on internet/phone addiction as well as the clinical experience of involved experts. The preliminary scale was administered to a nationally representative sample of 795 students in elementary, middle, and high schools across South Korea. Then, final 15 items were selected according to the reliability test results. The final scale consisted of four subdomains: (1) disturbance of adaptive functions, (2) virtual life orientation, (3) withdrawal, and (4) tolerance. The final scale indicated a high reliability with Cronbach's α of .880. Support for the scale's criterion validity has been demonstrated by its relationship to the internet addiction scale, KS-II (r = .49). For the analysis of construct validity, we tested the Structural Equation Model. The results showed the four-factor structure to be valid (NFI = .943, TLI = .902, CFI = .902, RMSEA = .034). Smartphone addiction is gaining a greater spotlight as possibly a new form of addiction along with internet addiction. The SAPS appears to be a reliable and valid diagnostic scale for screening adolescents who may be at risk of smartphone addiction. Further implications and limitations are discussed.

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Research works printed but not linked: 11

  1. J Chen, 2009, The acceptance and diffusion of the innovative smartphone use, Information and Management, 46, 241
  2. H Lee, 2008, Exploration of the Predicting Variables Affecting the Addictive Mobile Phone Use, The Korean Journal of Social and Personality Psychology, 22(1), 133
  3. D Zsolt, 2008, The three-factor model of internet addiction: The development of the problematic Internet Use Questionnaire, Behavior Research Methods, 40(2), 563
  4. D Kim, 2010, Technology Trends of Smartphone User Interface, Korea Information Science Society Review, 28(5), 15
  5. Kim M (2011) Study on Online and Offline Relationship of Smart Phone SNS Users: Centering on Twitter. The Graduate School of Ewha Women's University. Master's Thesis.
  6. M Noh, 2010, Analysis of Smartphone and Convergence of Functions through Association Analysis, Journal of the Korea Society of Management Information Systems, 1, 254
  7. J Kim, 2010, The Evolution of Mobile Internet Service, OSIA Standards & Technology Review, 38(1), 4
  8. WS Choi, 2010, Study on the importance of functional characteristic of smartphones, Journal of Information Technology Application & Management, 1, 289
  9. KS Young, 1996, Addictive use of the internet: a case that breaks the stereotype, Psychological Reports, 79, 899, 10.2466/pr0.1996.79.3.899 · DOI · Paper page
  10. H Kang, 2009, Development and Validation of the Mobile Phone Addiction Scale for Adolescents, Korean journal of health psychology, 14(3), 497
  11. Keum C (2013) Research into smartphone addiction proneness and mental health problem for middle and high school student at Korea. Seoul National University Master's Thesis.

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Metadata

Authors
Kim, D., Lee, Y., Lee, J., Nam, J. K., & Chung, Y.
Affiliations
Seoul National University (KR)
Corresponding author
Lee, Yunhee
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2014-05-21
Volume
9
Issue
5
Pages
e97920
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0097920
PMC
PMC4029762
OpenAlex
W2084863892
Cited by
434
References
36
Citations by year
2026: 29 · 2025: 36 · 2024: 36 · 2023: 35 · 2022: 55 · 2021: 47 · 2020: 65 · 2019: 37 · 2018: 32 · 2017: 30 · 2016: 22 · 2015: 8 · 2014: 2
FWCI
67.12
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
smartphone addiction, scale development, adolescents, internet addiction, addiction screening, withdrawal, tolerance, construct validity, criterion validity
MeSH terms
Adolescent, Child, Female, Humans, Male, Surveys and Questionnaires, Reproducibility of Results, Behavior, Addictive, Internet, Cell Phone, Republic of Korea

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