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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“PSU shares many traits with substance abuse disorders and behavioural addictions [13–18], and it appears to be common.”
From Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence (2019) · cites this paper as [15]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Digital Natives, Digital Immigrants Part 1
Prensky, M. (2001) · On the Horizon · doi:10.1108/10748120110424816 · Cited by 11,104
The online disinhibition effect
Suler, J. (2004) · CyberPsychology & Behavior · doi:10.1089/1094931041291295 · Cited by 4,375
Digital Natives, Digital Immigrants Part 2: Do They Really Think Differently?
Prensky, M. (2001) · On the Horizon · doi:10.1108/10748120110424843 · Cited by 4,035
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
Self-citationFacebook Use Predicts Declines in Subjective Well-Being in Young Adults
Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069841 · Cited by 1,596
Psychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514
Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype
Young, K. S. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3.899 · Cited by 1,108
The psychometric properties of the Internet addiction test
Widyanto, L., & McMurran, M. (2004) · CyberPsychology & Behavior · doi:10.1089/cpb.2004.7.443 · Cited by 1,073
Modification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,019
Distinguishing addiction and high engagement in the context of online game playing
Charlton, J. P., & Danforth, I. D. W. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.07.002 · Cited by 946
Schiller, J. (2000) · Cited by 787
Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition
Lapidot‐Lefler, N., & Barak, A. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.10.014 · Cited by 709
Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008) · Behavior Research Methods · doi:10.3758/brm.40.2.563 · Cited by 409
Psychological Characteristics of Compulsive Internet Use: A Preliminary Analysis
Greenfield, D. N. (1999) · CyberPsychology & Behavior · doi:10.1089/cpb.1999.2.403 · Cited by 372
Mobile phone addiction: A point of issue
CHÓLIZ, M. (2010) · Addiction · doi:10.1111/j.1360-0443.2009.02854.x · Cited by 361
French Validation of the Internet Addiction Test
Khazaal, Y., Billieux, J., Thorens, G., Khan, R., Louati, Y., Scarlatti, E., Theintz, F., Lederrey, J., Van Der Linden, M., & Zullino, D. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0249 · Cited by 329
Weinstein, A., Curtiss Feder, L., Rosenberg, K. P., & Dannon, P. (2014) · Behavioral Addictions · doi:10.1016/b978-0-12-407724-9.00005-7 · Cited by 256
Chen, V., Yen, D. C., & Chen, K. (2009) · Information & Management · doi:10.1016/j.im.2009.03.001 · Cited by 249
To text or not to text? The importance of text messaging among college-aged youth
Skierkowski, D., & Wood, R. M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.11.023 · Cited by 204
Park, W. K. (2005) · Computer supported cooperative work · doi:10.1007/1-84628-248-9_17 · Cited by 196
The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions
Griffiths, M. D. (2009) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-009-9209-1 · Cited by 138
Psychometric properties of the Problematic Internet Use Questionnaire
Kelley, K. J., & Gruber, E. M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.018 · Cited by 104
The use of online methodologies in data collection for gambling and gaming addictions
Griffiths, M. D. (2010) · Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) · Cited by 102
Canan, F., Ataoğlu, A., Nichols, L. A., Yildirim, T., & Ozturk, O. (2009) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0160 · Cited by 90
Measuring Television Addiction
Horvath, C. W. (2004) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4803_3 · Cited by 82
Development of Internet Addiction Proneness Scale-Short Form(KS scale)
Kim, D., 조영미, DongMinKim, 이은아, & 정여주 (2008) · Korea Journal of Counseling · doi:10.15703/kjc.9.4.200812.1703 · Cited by 79
Self-citationNew Patterns in Media Addiction: Is Smartphone a Substitute or a Complement to the Internet?
Dong-il, K., 이주영, 정여주, 금창민, 남지은, 강은비, 이윤희, & 김명찬 (2012) · The Korea Journal of Youth Counseling · doi:10.35151/kyci.2012.20.1.005 · Cited by 41
Sung, H. H., Sohn, S. H., & Choi, Y. J. (2011) · Korean Journal of Broadcasting and Telecommunication Studies · Cited by 23
Park, I., & Shin, D. (2010) · Cited by 23
A Study on the Changes of Behavior Patterns in Smartphone Users by Shadowing Early iPhone Users
고윤전, & 이형일 (2010) · Journal of Product Research · doi:10.36345/kacst.2010.28.1.010 · Cited by 11
송요셉, Park, S., 김은미, 나은영, & Oh, S. (2009) · Journal of Communication Research · doi:10.22174/jcr.2009.46.2.33 · Cited by 10
Development and Validation of the Mobile Phone Addiction Scale for Adolescents
강희양, & Son, C. (2009) · Korean Journal of Health Psychology · doi:10.17315/kjhp.2009.14.3.002 · Cited by 5
A Study on the Mediation Experiences of Smart Phone Users
Kim, D., & Tae, J.-H. (2010) · Humanities Contents · Cited by 4
Self-citationDevelopment of a Cell Phone Addiction Scale for Korean Parents of Young Children.
Koo, H. Y. (2013) · Child Health Nursing Research · doi:10.4094/chnr.2013.19.1.29 · Cited by 3
Competition and Substitution of Digital Media : Usage Patterns of News, Sports, and Adult Content
Sohn, S. H. (2005) · Journal of Cybercommunication Academic Society · Cited by 2
Flagged first, then by citations
1 of the 36 references couldn’t be matched to a known paper.
Research works printed but not linked: 11
- J Chen, 2009, The acceptance and diffusion of the innovative smartphone use, Information and Management, 46, 241
- 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
- D Zsolt, 2008, The three-factor model of internet addiction: The development of the problematic Internet Use Questionnaire, Behavior Research Methods, 40(2), 563
- D Kim, 2010, Technology Trends of Smartphone User Interface, Korea Information Science Society Review, 28(5), 15
- 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.
- M Noh, 2010, Analysis of Smartphone and Convergence of Functions through Association Analysis, Journal of the Korea Society of Management Information Systems, 1, 254
- J Kim, 2010, The Evolution of Mobile Internet Service, OSIA Standards & Technology Review, 38(1), 4
- WS Choi, 2010, Study on the importance of functional characteristic of smartphones, Journal of Information Technology Application & Management, 1, 289
- 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
- H Kang, 2009, Development and Validation of the Mobile Phone Addiction Scale for Adolescents, Korean journal of health psychology, 14(3), 497
- 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.
Cited by
Sorted by citations
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0054-y · Cited by 1,205
Is smartphone addiction really an addiction?
Panova, T., & Carbonell, X. (2018) · Journal of behavioral addictions · doi:10.1556/2006.7.2018.49 · Cited by 976
“, 2014), “It would be painful if I am not allowed to use smartphone” (Kim et al., 2014), and “Bringing my smartphone to the toilet even when I am in a hurry to get there” (Kwon et al.”
BackgroundSohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2350-x · Cited by 838
Scale development: ten main limitations and recommendations to improve future research practices
Morgado, F. F. D. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2017) · Psicologia Reflexão e Crítica · doi:10.1186/s41155-016-0057-1 · Cited by 790
Metadata
- Authors
- Kim, D., Lee, Y., Lee, J., Nam, J. K., & Chung, Y.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Lee, Yunhee
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-05-21
- Volume
- 9
- Issue
- 5
- Pages
- e97920
- ISSN
- 1932-6203 (ISSN-L)
- 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
- gold
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review