The DOI matches its Crossref record; 52 of the 56 references it cites were found in a registry or an index.
Validation of a New Scale for Measuring Problematic Internet Use: Implications for Pre-employment Screening
Abstract
The current study introduced a theory-driven, multidimensional measure of problematic Internet use: the Online Cognition Scale (OCS). Undergraduate students (n = 211) in an industrial/organizational psychology course completed the OCS, along with measures of procrastination, rejection sensitivity, loneliness, depression, and impulsivity. A confirmatory factor analysis indicated that problematic Internet use consists of four dimensions: diminished impulse control, loneliness/depression, social comfort, and distraction. As hypothesized, the OCS predicted all of the study variables in the expected directions. Representing a departure from previous research in this area, the current article focused on procrastination, impulsivity, and social rejection as key elements of problematic Internet use. Furthermore, interactive applications (e.g., chat) were most related to problematic Internet use, and scores on the OCS predicted being reprimanded at school or work for inappropriate Internet use. As a result, the utility of the OCS for both clinical assessment of Internet addiction and as an organizational preemployment screening measure to identify potential employees who are likely to abuse the Internet in the workplace (also known as "cyberslacking") were discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037/0033-2909.88.3.588 · Cited by 20,015
Testing Structural Equation Models.
Clogg, C. C., Bollen, K. A., & Long, J. S. (1995) · Social Forces · doi:10.2307/2580595 · Cited by 8,246
Journal of social behavior and personality
(1986) · Personality and Individual Differences · doi:10.1016/0191-8869(86)90025-5 · Cited by 6,751
Constructing validity: Basic issues in objective scale development.
Clark, L. A., & Watson, D. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.3.309 · Cited by 6,567
Life on the Screen: Identity in the Age of the Internet
Turkle, S. (1997) · Cited by 6,340
The Revised UCLA Loneliness Scale: concurrent and discriminant validity evidence
Russell, D., Peplau, L. A., & Cutrona, C. E. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.39.3.472 · Cited by 5,173
Research works printed but not linked: 12
- Scherer K., 1997, The Journal of College Student Development, 38, 655
- 10.1023/A:1009573129142 · DOI
- 10.1037//1040-3590.7.3.309 · DOI · Paper page
- Burka J.B., 1990, New Realities, 42
- 10.1037//0003-066X.50.6.456 · DOI
- 10.1037//0022-3514.39.1.29 · DOI
- 10.1037//0022-3514.70.6.1327 · DOI · Paper page
- 10.1037//0033-2909.103.3.411 · DOI · Paper page
- 10.1037//0033-2909.107.2.238 · DOI · Paper page
- 10.1037//1040-3590.6.1.50 · DOI
- 10.1037//0021-9010.87.1.164 · DOI
- Sackett P.R., 1977, Security Journal, 8, 11
Cited by
Sorted by citations
Steel, P. (2007) · Psychological bulletin · doi:10.1037/0033-2909.133.1.65 · Cited by 3,417
Internet addiction: a systematic review of epidemiological research for the last decade
Kuss, D., Griffiths, M., Karila, L., & Billieux, J. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990617 · Cited by 1,374
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061
“Although the results reported here supported the hypothesized models, there are several methodological limitations worth noting that qualify any conclusions drawn from the study.”
BackgroundMethodInfluentialCaplan, S. E. (2003) · Communication Research · doi:10.1177/0093650203257842 · Cited by 1,026
“PIU includes a host of maladaptive cognitions and behaviors associated with Internet use (i.e., PIU), including excessive or compulsive use resulting in negative personal and professional outcomes (Anderson, 2003; Caplan, 2002; Davis, 2001; Davis et al., 2002).”
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
The compulsive internet use scale (CIUS): some psychometric properties
Meerkerk, G.-J., Van Den Eijnden, R. J. J. M., Vermulst, A. A., & Garretsen, H. F. L. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0181 · Cited by 989
“Furthermore, the concurrent validity of the CIUS was examined with help of an instrument to measure pathological Internet use OCS 14 and other measures (concurrent and construct validity).”
InfluentialRelations among loneliness, social anxiety, and problematic Internet use
Caplan, S. E. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9963 · Cited by 948
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
“To put the present research into context, it is useful to note that it differs from that of authors such as Caplan (2002), Davis et al. (2002), Morahan-Martin and Schumacher (2000), Pratarelli et al. (1999), and Pratarelli and Browne (2002).”
ResultSex differences in impulsivity: A meta-analysis.
Cross, C. P., Copping, L. T., & Campbell, A. (2011) · Psychological Bulletin · doi:10.1037/a0021591 · Cited by 866
Loneliness and Social Internet Use: Pathways to Reconnection in a Digital World?
Nowland, R., Necka, E. A., & Cacioppo, J. T. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617713052 · Cited by 783
Internet addiction and problematic Internet use: A systematic review of clinical research
Kuss, D. J., & López-Fernández, O. (2016) · World Journal of Psychiatry · doi:10.5498/wjp.v6.i1.143 · Cited by 851
The benefits and dangers of enjoyment with social networking websites
Turel, O., & Serenko, A. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.1 · Cited by 684
Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014) · Behavioral Addictions · doi:10.1016/b978-0-12-407724-9.00006-9 · Cited by 583
“Based on Davis’s (2001) model of IAD, the Online Cognitions Scale (OCS) was devised and shown to provide an accurate estimate of Internet addiction ( Davis et al., 2002).”
BackgroundMethodSocial media use, social anxiety, and loneliness: A systematic review
O’Day, E. B., & Heimberg, R. G. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100070 · Cited by 560
A social skill account of problematic Internet use
Caplan, S. E. (2005) · Journal of Communication · doi:10.1111/j.1460-2466.2005.tb03019.x · Cited by 592
“The study reported below integrates research on FtF communication with the recently introduced cognitive-behavioral theory of generalized PIU2 (articles by Caplan, 2002, 2003; Davis, 2001; Davis et al., 2002) to propose a social skill account PIU.”
BackgroundInfluentialIntegrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1
Turel, O., Serenko, A., & Giles, P. (2011) · MIS Quarterly · doi:10.2307/41409972 · Cited by 547
“Third, technology addiction can be operationalized as a multi-dimensional construct, in which case several scales together capture the core components of addiction (e.g., Davis et al. 2002; Ferraro et al. 2007; Hur 2006).”
BackgroundInfluentialInternet Addiction: A Review of Current Assessment Techniques and Potential Assessment Questions
Beard, K. W. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.7 · Cited by 487
Younes, F., Halawi, G., Jabbour, H., El Osta, N., Karam, L., Hajj, A., & Rabbaa Khabbaz, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0161126 · Cited by 475
“The terms “problematic internet use” [7], pathological internet use [8–10] and “internet addiction” [11–13] are usually considered synonyms of internet dependence [14].”
BackgroundProblematic Internet use or Internet addiction?
Yellowlees, P., & Marks, S. L. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2005.05.004 · Cited by 453
“Most companies have access to the Internet, and a large proportion of them have policies in effect regarding the online activities of employees (Greenfield & Davis, 2002).”
BackgroundInternet Addiction: Metasynthesis of 1996–2006 Quantitative Research
Byun, S., Ruffini, C., Mills, J. E., Douglas, A. C., Niang, M., Stepchenkova, S. O., Lee, S. K., Loutfi, J., Lee, J.-K., Atallah, M., et al. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0102 · Cited by 483
“Thus we propose Challenge 2 to researchers: Previous studies on Internet addiction have used inconsistent criteria, making any comparison across study findings meaningless.”
InfluentialProblematic internet use and psychosocial well-being among MMO players
Caplan, S., Williams, D., & Yee, N. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.06.006 · Cited by 449
“PIU is a multidimensional syndrome that consists of cognitive, emotional, and behavioral symptoms that result in difficulties with managing one’s offline life (Caplan, 2002, 2003, 2005a, 2005b; Davis, 2001; Davis et al., 2002; Morahan-Martin & Schumacher, 2003).”
BackgroundSmartphone Use, Work–Home Interference, and Burnout: A Diary Study on the Role of Recovery
Derks, D., & Bakker, A. B. (2012) · Applied Psychology · doi:10.1111/j.1464-0597.2012.00530.x · Cited by 466
Addictive Personality and Problematic Mobile Phone Use
Takao, M., TAKAHASHI, S. Y., & Kitamura, M. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0022 · Cited by 424
Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008) · Behavior Research Methods · doi:10.3758/brm.40.2.563 · Cited by 409
“Results of the presented study—according to previous observations (see, e.g., Davis et al., 2002; Kubey, Lavin, & Barrows, 2001; Leung, 2004)—indicate clearly that in the case of users with more problems the use of online simultaneous communication forms dominates, whereas surfing, e-mailing, and using the Internet fo…”
MethodResultInfluentialInternet addiction: Meta-synthesis of qualitative research for the decade 1996–2006
Douglas, A. C., Mills, J. E., Niang, M., Stepchenkova, S. O., Byun, S., Ruffini, C., Lee, S. K., Loutfi, J., Lee, J.-K., Atallah, M., et al. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.05.009 · Cited by 397
Internet use and psychological well-being: A meta-analysis
Huang, C. (2010) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2009.0217 · Cited by 359
Factor structure for Young’s Internet Addiction Test: A confirmatory study
Chang, M. K., & Law, S. P.-M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.03.001 · Cited by 357
“Referring to the instruments that measure Internet addiction as a multi-faceted construct – OCS (Davis et al., 2002); GPIUS (Caplan, 2002); IAST (Lin & Tsai, 2002); PIUQ (Thatcher & Goolam, 2005b); PIUS (Ceyhan et al., 2007), the following dimensions are found similar across these…”
BackgroundMethodInfluentialKhang, H., Kim, J. K., & Kim, Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.027 · Cited by 326
Laconi, S., Rodgers, R. F., & Chabrol, H. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.09.026 · Cited by 338
“A 10-item version of this scale with a 2 factors solution (i.e., Dependency and Distraction composed of two or three items of each original factor) has also been proposed (Jia & Jia, 2009).”
BackgroundInfluentialHadlington, L. (2017) · Heliyon · doi:10.1016/j.heliyon.2017.e00346 · Cited by 285
“Davis et al. (2002) presented a 36-item scale that is designed to explore aspects of excessive Internet Use.”
BackgroundMoqbel, M., & Kock, N. (2018) · Information & Management · doi:10.1016/j.im.2017.05.001 · Cited by 269
Internet Addiction of Adolescents in Taiwan: An Interview Study
Tsai, C., & Lin, S. S. J. (2003) · CyberPsychology & Behavior · doi:10.1089/109493103322725432 · Cited by 265
Li, W., O’Brien, J. E., Snyder, S. M., & Howard, M. O. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117372 · Cited by 260
“Examples of these measures include the Generalized Problematic Internet Use Scale [19] and Online Cognition Scale [20].”
Predicting Compulsive Internet Use: It's All about Sex!
Meerkerk, G.-J., Eijnden, R. J. J. M. V. D., & Garretsen, H. F. L. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.95 · Cited by 257
Beutel, M. E., Klein, E. M., Aufenanger, S., Brähler, E., Dreier, M., Müller, K. W., Quiring, O., Reinecke, L., Schmutzer, G., Stark, B., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148054 · Cited by 256
“Online activities providing constant distractions from scheduled tasks may encourage procrastination and can even considered as a key aspect of problematic internet use, a phenomenon which affects mainly the young generation [43; 44].”
BackgroundProblematic Internet use, loneliness and dating anxiety among young adult university students
Odacı, H., & Kalkan, M. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.05.006 · Cited by 261
“The original of the scale drawn up by Keser-Özcan and Buzlu (2005) studying validity and reliability in university student sampling with the aim of determining problematic Internet use was developed by Davis et al. (2002).”
BackgroundMethodTime on the Internet at home, loneliness, and life satisfaction: Evidence from panel time-diary data
Štěpáníková, I., Nie, N. H., & He, X. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.002 · Cited by 276
Internet Addiction and Depression, Anxiety and Stress
Ahmet Cumhur, A. K. I. N. (2011) · Cited by 239
Charlton, J. P., & Danforth, I. D. W. (2009) · Behaviour and Information Technology · doi:10.1080/01449290903401978 · Cited by 261
“Continuous approaches such as the psychometric approach adopted here and by others (e.g. Brenner 1997, Caplan 2002, Davis et al .”
MethodMasur, P. K., Reinecke, L., Ziegele, M., & Quiring, O. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.047 · Cited by 238
“Since then, many instruments and psychometric scales have been developed in order to measure Internet addiction (Beard & Wolf, 2001; Caplan, 2002; Davies et al., 2002; Hahn & Jerusalem, 2010; Meerkerk et al., 2009).”
BackgroundA critical review of “Internet addiction” criteria with suggestions for the future
van Rooij, A. J., & Prause, N. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.4.1 · Cited by 265
Social anxiety and internet use – a meta-analysis: what do we know? What are we missing?
Prizant-Passal, S., Shechner, T., & Aderka, I. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.003 · Cited by 227
Family and work-related consequences of addiction to organizational pervasive technologies
Turel, O., Serenko, A., & Bontis, N. (2011) · Information & Management · doi:10.1016/j.im.2011.01.004 · Cited by 230
“Several potentially negative outcomes of pervasive technologies usage have been explored in both organizational [37] and leisure settings [12].”
BackgroundSocial Activities, Self-Efficacy, Game Attitudes, and Game Addiction
Jeong, E. J., & Kim, D. H. (2010) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0289 · Cited by 225
A vacation from your mind: Problematic online gaming is a stress response
Snodgrass, J. G., Lacy, M. G., Dengah, H. J. F., Eisenhauer, S., Batchelder, G., & Cookson, R. J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.06.004 · Cited by 241
Problematic Internet Use Among US Youth
Moreno, M. A. (2011) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2011.58 · Cited by 222
“2) [18-56] Large Southeastern regional university Classroom: undergraduate introduction to psychology Fortson et al Internet Dependence Scale Reporting 3 symptoms as measured by a set of liberal and conservative criteria No Paper/ pencil and online 1.”
BackgroundStavropoulos, V., Alexandraki, K., & Motti‐Stefanidi, F. (2013) · Journal of Adolescence · doi:10.1016/j.adolescence.2013.03.008 · Cited by 213
Shyness, Internet Use, and Personality
Ebeling-Witte, S., Frank, M. L., & Lester, D. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9964 · Cited by 215
Koronczai, B., Urbán, R., Kökönyei, G., Paksi, B., Papp, K., Kun, B., Arnold, P., Kállai, J., & Demetrovics, Z. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0345 · Cited by 214
“Such measures are, for example, Brenner’s Internet-Related Addictive Behavior Inventory, 8 the Generalized Problematic Internet Use Scale, 26 the Online Cognition Scale, 20 the Internet Addiction Scale, 27 and the Chinese Internet Addiction Inventory.”
Lee-Won, R. J., Herzog, L., & Park, S. G. (2015) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2015.0002 · Cited by 205
“Therefore, people with social skill deficits may perceive Internet-based interaction as relatively more comfortable and safe compared to face-to-face interaction.(17) Building on this view, the social skill model posits that individuals who perceive themselves as deficient in social skills are prone to develop a prefe…”
Is compulsive internet use related to sensitivity to reward and punishment, and impulsivity?
Meerkerk, G., van den Eijnden, R. J. J. M., Franken, I. H. A., & Garretsen, H. F. L. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.01.009 · Cited by 206
“This conclusion is in line with the findings of other researchers who concluded that that diminished impulse control is a typical feature of CIU (Davis et al., 2002) and that subjects suffering from CIU typically meet the DSM-IV criteria (APA, 1994) for an impulse control disorder (ICD) not…”
BackgroundResultInfluentialOdaci, H. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.01.005 · Cited by 193
Gámez‐Guadix, M. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0226 · Cited by 191
“However, problematic Internet use is a multidimensional construct, 28 and the presence of depressive symptoms may show a differential association with the various components of this construct.”
Li, L., Gao, H., & Xu, Y. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.104001 · Cited by 189
Li, W., Garland, E. L., McGovern, P., O’Brien, J. E., Tronnier, C. D., & Howard, M. O. (2017) · Psychology of Addictive Behaviors · doi:10.1037/adb0000269 · Cited by 204
“A higher score indicates a higher level of maladaptive cognitions related to Internet use (Davis et al., 2002).”
BackgroundINTERNET ADDICTION: A REVIEW OF THE FIRST TWENTY YEARS
Mihajlov, M., & Vejmelka, L. (2017) · Psychiatria Danubina · doi:10.24869/psyd.2017.260 · Cited by 194
“Currently, there is no consensus for a consistent nomenclature with some of the different proposed terms being: Internet dependency (teWildt 2011), pathological Internet use (Morahan 2000), problematic Internet use (Davis et al. 2002), compulsive computer use (Black et al. 1999), etc.”
BackgroundMethodTokunaga, R. S., & Rains, S. A. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01386.x · Cited by 210
Online flow experiences, problematic Internet use and Internet procrastination
Thatcher, A., Wretschko, G., & Fridjhon, P. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2007.10.008 · Cited by 208
“The majority of studies that have identified groups ‘‘at risk’’ of problematic Internet use have focused on students (Davis et al., 2002; LaRose et al., 2003; Niemz et al., 2005; Simkova & Cincera, 2004; Suhail & Barges, 2006) or high school children (Nalwa & Anand, 2003; Tsai & Lin, 2001; Wan &…”
BackgroundMethodResultInfluentialInternet addiction disorder: Prevalence in an Italian student population
Poli, R., & Agrimi, E. (2012) · Nordic Journal of Psychiatry · doi:10.3109/08039488.2011.605169 · Cited by 192
Hadlington, L. J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.036 · Cited by 180
“Davis et al. (2002) presented the 36-item OCS as a mechanism that explores aspects of excessive Internet use.”
InfluentialInternet addiction assessment tools: dimensional structure and methodological status
Lortie, C. L., & Guitton, M. J. (2013) · Addiction · doi:10.1111/add.12202 · Cited by 185
“Despite heated debates on the nature of excessive internet use and whether or not it involves addiction [8,9], consensus is emerging regarding the existence of this problematic behavior [10].”
BackgroundRozgonjuk, D., Kattago, M., & Täht, K. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.003 · Cited by 176
Social self-efficacy, academic locus of control, and internet addiction
İskender, M., & Ahmet Cumhur, A. K. I. N. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.10.014 · Cited by 178
“Internet addiction was measured using Turkish version of the Online Cognition Scale (OCS, Davis et al., 2002; Ozcan & Buzlu, 2005).”
MethodKim, J.-H., & Haridakis, P. M. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01478.x · Cited by 174
The Role of Sexual Compulsivity, Impulsivity, and Experiential Avoidance in Internet Pornography Use
Wetterneck, C. T., Burgess, A. J., Short, M. B., Smith, A. H., & Cervantes, M. E. (2012) · The Psychological Record · doi:10.1007/bf03395783 · Cited by 187
“Consistent with previous research (Davis et al., 2002), impulsivity did appear to have a significant role in the amount of IP use in general.”
BackgroundResultChen, H.-T., & Kim, Y. (2013) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2011.0608 · Cited by 169
Internet addiction: hours spent online, behaviors and psychological symptoms
Tonioni, F., D'Alessandris, L., Lai, C., Martinelli, D., Corvino, S., Vasale, M., Fanella, F., Aceto, P., & Bria, P. (2011) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2011.09.013 · Cited by 172
Internet addiction: consensus, controversies, and the way ahead.
Chakraborty, K., Basu, D., & Kumar, K. G. V. (2010) · PubMed · Cited by 166
Morahan-Martin, J. M. (2005) · Social Science Computer Review · doi:10.1177/0894439304271533 · Cited by 165
Reinecke, L., & Hofmann, W. (2016) · Human Communication Research · doi:10.1111/hcre.12082 · Cited by 160
Internet Pathways in Suicidality: A Review of the Evidence
Durkee, T., Hadlaczky, G., Westerlund, M., & Carli, V. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8103938 · Cited by 170
“substance abuse may utilize the Internet as a coping mechanism in an attempt to relieve stress [24].”
BackgroundOdacı, H., & Çelik, Ç. B. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.026 · Cited by 160
Casale, S., Caplan, S. E., & Fioravanti, G. (2016) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.03.014 · Cited by 152
Understanding online child pornography use: Applying sexual offense theory to internet offenders
Elliott, I. A., & Beech, A. R. (2009) · Aggression and Violent Behavior · doi:10.1016/j.avb.2009.03.002 · Cited by 150
Internet addiction among adolescents in Lebanon
Hawi, N. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.01.007 · Cited by 152
Internet addiction and procrastination among Chinese young adults: A moderated mediation model
Geng, J., Han, L., Gao, F., Jou, M., & Huang, C.-C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.013 · Cited by 160
Reinecke, L., Klimmt, C., Meier, A., Reich, S., Hefner, D., Knop-Huelss, K., Rieger, D., & Vorderer, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205384 · Cited by 197
The Relationship Between Self-Control and Internet Addiction Among Students: A Meta-Analysis
Li, S., Ren, P., Chiu, M. M., Wang, C., & Lei, H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.735755 · Cited by 180
Addictive Internet Use among Korean Adolescents: A National Survey
Heo, J., Oh, J., Subramanian, S. V., Kim, Y. H., & Kawachi, I. I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087819 · Cited by 145
“due to convenience sampling and small sample size as they recruited subjects through the Internet [3,13,24,29–32].”
Background[Validation of two brief scales for Internet addiction and mobile phone problem use].
Fargues, M. B., Lusar, A. C., Jordana, C. G., & Carbonell, X. (2009) · PubMed · Cited by 183
The Relationships Between Internet Addiction, Subjective Vitality, and Subjective Happiness
Ahmet Cumhur, A. K. I. N. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2011.0609 · Cited by 159
“Internet addiction was measured by the Turkish version of the Online Cognition Scale.(15,61) The scale was translated into Turkish by seven perfect bilinguals who speak English and Turkish equally well.”
Psychometric Evaluation of the Generalized Problematic Internet Use Scale 2 in an Italian Sample
Fioravanti, G., Primi, C., & Casale, S. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0429 · Cited by 145
“20 23 Among them, Caplan’s Generalized Problematic Internet Use Scale 2 19 (GPIUS2), a revised and updated version of the Generalized Problematic Internet Use Scale 24 (GPIUS), has been developed to formally test Davis’ cognitive-behavioral model of the GPIU.”
Kitazawa, M., Yoshimura, M., Murata, M., Sato‐Fujimoto, Y., Hitokoto, H., Mimura, M., Tsubota, K., & Kishimoto, T. (2018) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12662 · Cited by 146
The screens culture: impact on ADHD
Weiss, M., Baer, S., Allan, B., Saran, K. A., & Schibuk, H. (2011) · Attention deficit and hyperactivity disorders · doi:10.1007/s12402-011-0065-z · Cited by 147
“Multiple measures have been used to assess Internet and gaming addiction (Beard 2005; Davis et al. 2002; Demetrovics et al. 2008; Johansson and Gotestam 2004; Khazaal et al. 2008; Ko et al. 2005a; Meerkerk et al. 2009; Nichols and Nicki 2004; Tejeiro Salguero and Bersabe Moran 2002).”
BackgroundEvaluation of an Internet addiction treatment program for Chinese adolescents in Hong Kong.
Shek, D. T. L., Tang, V. M. Y., & Lo, C.-P. (2009) · PubMed · Cited by 135
Jelenchick, L. A., Eickhoff, J. C., Christakis, D., Brown, R. L., Zhang, C., Benson, M., & Moreno, M. A. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.035 · Cited by 135
“Ten scales were identified, which together constituted a bank of 183 questions (Anderson, 2001; Caplan, 2002; Davis et al., 2002; Demtrovics, Szeredi, & Rozsa, 2008; Huang, Wang, Qian, Zhong, & Tao, 2007; Meerkerk et al., 2009; Mitchell, Sabina, Finkelhor, & Wells, 2009; Morahan-Martin &…”
Floros, G., & Siomos, K. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.01.010 · Cited by 134
“The OCS is a theory-driven, multidimensional measure of Internet addiction (Davis et al., 2002).”
BackgroundProblematic Internet Use:Clinical Implications
Liu, T., & Potenza, M. N. (2007) · CNS Spectrums · doi:10.1017/s1092852900015339 · Cited by 139
“Several instruments and scales have been developed, including the Generalized Problematic Internet Use Scale(79) and Online Cognition Scale.(80)They have been used for research purposes and pre-employment screening.”
Clinical Interventions for Technology-Based Problems: Excessive Internet and Video Game Use
King, D. L., Delfabbro, P., & Griffiths, M. D. (2012) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.26.1.43 · Cited by 144
The role of media dependency in predicting continuance intention to use ubiquitous media systems
Carillo, K., Scornavacca, E., & Za, S. (2016) · Information & Management · doi:10.1016/j.im.2016.09.002 · Cited by 134
An Overview of Problematic Gaming
Griffiths, M. D., Király, O., Pontes, H. M., & Demetrovics, Z. (2015) · Oxford University Press eBooks · doi:10.1093/med/9780199380183.003.0002 · Cited by 134
Flett, G. L., Stainton, M., Hewitt, P. L., Sherry, S. B., & Lay, C. (2012) · Journal of Rational-Emotive & Cognitive-Behavior Therapy · doi:10.1007/s10942-012-0150-z · Cited by 132
Internet Use Among Turkish Adolescents
Tahiroğlu, A. Y., Çelik, G. G., Uzel, M., Özcan, N. K., & Avcı, A. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0165 · Cited by 129
Wan, H. C., Downey, L. A., & Stough, C. K. K. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.01.018 · Cited by 138
Internet Use and Its Relation with the Psychosocial Situation for a Sample of University Students
Özcan, N. K., & Buzlu, S. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9953 · Cited by 125
“The OCS is a 7-point Likert scale of 36 items, developed by Davis.”
InfluentialMoretta, T., Buodo, G., Demetrovics, Z., & Potenza, M. N. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2021.152286 · Cited by 125
Wang, J., Wang, P., Yang, X., Zhang, G., Wang, X., Zhao, F., Zhao, M., & Lei, L. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00106-0 · Cited by 142
“For example, Davis et al. (2002) found that procrastination can predict troublesome internet use.”
BackgroundResultEvaluation of Internet Addiction and Depression among University Students
Örsal, Ö., Örsal, Ö., Ünsal, A., & Ozalp, S. S. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.06.291 · Cited by 123
“Several studies have reported a similar correlation between levels of depression and internet addiction (Davis et al., 2002; Ha et al., 2006; ; Kim et al., 2006; Ko, Yen, Chen, Chen, & Yen, 2008; Kraut et al., 2002; Teo & Lim, 2000; ; Whang, Lee, & Chang, 2003b; Yang & Tung, 2007; Young & Rodgers,…”
BackgroundConceptualizing personal web usage in work contexts: A preliminary framework
Kim, S. J., & Byrne, S. E. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.07.006 · Cited by 125
“For example, the reasons why individuals engage in non-work-related internet activities vary across the overarching concepts, ranging from convenient access (Young, 1999) to coping with depression (Ceyhan and Ceyhan, 2007; Davis et al., 2002).”
BackgroundMethodInfluentialFloros, G. D., Siomos, K. E., Fisoun, V., Dafouli, E., & Geroukalis, D. (2013) · Journal of School Health · doi:10.1111/josh.12049 · Cited by 117
Metadata
- Authors
- Davis, R. A., Flett, G. L., & Besser, A.
- Affiliations
- York University (CA)
- Department of Psychology, York University, Toronto, Canada.
- Venue
- CyberPsychology & Behavior
- Publisher
- SAGE Publications
- Published
- 2002-08
- Volume
- 5
- Issue
- 4
- Pages
- 331-345
- ISSN
- 1094-9313 (ISSN-L)
- 1557-8364
- OpenAlex
- W2086020439
- Cited by
- 750
- References
- 56
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 32 · 2023: 34 · 2022: 59 · 2021: 47 · 2020: 50 · 2019: 39 · 2018: 36 · 2017: 37 · 2016: 45 · 2015: 51 · 2014: 49 · 2013: 41 · 2012: 50
- FWCI
- 18.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CyberPsychology & Behavior (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- problematic internet use, internet addiction, pre-employment screening, cyberloafing, procrastination, impulsivity, rejection sensitivity, loneliness, depression, distraction, online chat, scale validation, workplace internet use
- MeSH terms
- Adult, Cognition, Decision Making, Organizational, Employment, Factor Analysis, Statistical, Female, Humans, Impulsive Behavior, Male, Personnel Selection, Surveys and Questionnaires, Reproducibility of Results, Behavior, Addictive, Internet
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