Cited by 990Impact of Technology on AdolescentsPersonal Information Management and User BehaviorStudent Stress and Coping

The DOI matches its Crossref record; 57 of the 58 references it cites were found in a registry or an index.

The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students

Lepp, Andrew, Barkley, Jacob E., Karpinski, Aryn C.·2014·Computers in Human Behavior

DOI 10.1016/j.chb.2013.10.049

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.chb.2013.10.049

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Using multivariate statistics
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Untitled work
(1998) · Cited by 36,049
The satisfaction with life scale
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4901_13 · Cited by 31,768
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407
Untitled work
(2007) · Cited by 10,092
A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604
A Beginner's Guide to Structural Equation Modeling
Finkelstein, D. (2005) · Technometrics · doi:10.1198/tech.2005.s328 · Cited by 6,087
Survey Research Methods.
Hesselbart, S., & Fowler, F. J. (1985) · Journal of the American Statistical Association · doi:10.2307/2288598 · Cited by 4,767
Review of the Satisfaction With Life Scale.
Pavot, W., & Diener, E. (1993) · Psychological Assessment · doi:10.1037/1040-3590.5.2.164 · Cited by 3,611
Review of the Satisfaction With Life Scale
Pavot, W., & Diener, E. (2009) · Social indicators research series · doi:10.1007/978-90-481-2354-4_5 · Cited by 3,462
The satisfaction with life scale and the emerging construct of life satisfaction
Pavot, W., & Diener, E. (2008) · The Journal of Positive Psychology · doi:10.1080/17439760701756946 · Cited by 2,396
Born digital: understanding the first generation of digital natives
(2009) · Choice Reviews Online · doi:10.5860/choice.46-7115 · Cited by 1,994
Survey Research Methods
Fink, A. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.00296-7 · Cited by 1,977
Avowed happiness as an overall assessment of the quality of life
Shin, D. C., & Johnson, D. M. (1978) · Social Indicators Research · doi:10.1007/bf00352944 · Cited by 1,655
Facebook and academic performance
Kirschner, P. A., & Karpinski, A. C. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.024 · Cited by 1,578
Self-citation
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
The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement
Junco, R. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.004 · Cited by 1,233
Facebook and texting made me do it: Media-induced task-switching while studying
Rosen, L. D., Mark Carrier, L., & Cheever, N. A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.12.001 · Cited by 875
Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance
Junco, R. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.026 · Cited by 843
No A 4 U: The relationship between multitasking and academic performance
Junco, R., & Cotten, S. R. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.12.023 · Cited by 810
Reliability and validity of the Beck anxiety inventory
Fydrich, T., Dowdall, D., & Chambless, D. L. (1992) · Journal of Anxiety Disorders · doi:10.1016/0887-6185(92)90026-4 · Cited by 776
The wired generation: Academic and social outcomes of electronic media use among university students
Jacobsen, W. C., & Forste, R. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0135 · Cited by 710
A beginner's guide to structural equation modeling, 3rd ed.
Schumacker, R. E., & Lomax, R. G. (2010) · Cited by 698
A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students
Hong, F.-Y., Chiu, S.-I., & Huang, D.-H. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.020 · Cited by 568
Examining the impact of off-task multi-tasking with technology on real-time classroom learning
Wood, E., Zivcakova, L., Gentile, P., Archer, K., De Pasquale, D., & Nosko, A. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.029 · Cited by 565
Problematic internet and cell-phone use: Psychological, behavioral, and health correlates
Jenaro, C., Flores, N., Gómez-Vela, M., González-Gil, F., & Caballo, C. (2007) · Addiction Research & Theory · doi:10.1080/16066350701350247 · Cited by 535
Book Review: Survey Research Methods, 3rd ed., by Floyd J. Fowler Jr. (2002). Thousand Oaks, Ca: Sage.
Eby, L. T. D. T. (2003) · Organizational Research Methods · doi:10.1177/109442812003006001009 · Cited by 514
Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence
Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.03.001 · Cited by 498
Life‐Satisfaction Is a Momentary Judgment and a Stable Personality Characteristic: The Use of Chronically Accessible and Stable Sources
Schimmack, U., Diener, E., & Oishi, S. (2002) · Journal of Personality · doi:10.1111/1467-6494.05008 · Cited by 485
Is Facebook creating iDisorders? The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety
Rosen, L. D., Whaling, K., Rab, S., Carrier, L. M., & Cheever, N. A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.11.012 · Cited by 472
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
The Beck Anxiety Inventory in a non-clinical sample
Creamer, M. C., Foran, J. M., & Bell, R. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)00082-u · Cited by 424
Social anxiety and technology: Face-to-face communication versus technological communication among teens
Pierce, T. A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.06.003 · Cited by 418
Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan
Yen, C., Tang, T., Yen, J., Lin, H., Huang, C., Liu, S., & Ko, C. (2009) · Journal of Adolescence · doi:10.1016/j.adolescence.2008.10.006 · Cited by 416
The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students
Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M. J., & Gates, P. (2013) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-10-79 · Cited by 412
Self-citation
Factors Associated with Cell Phone Use in Adolescents in the Community of Madrid (Spain)
Sánchez-Martínez, M., & Otero, A. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0164 · Cited by 373
Perceived academic effects of instant messaging use
Reynol Junco, A., & Cotten, S. R. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.08.020 · Cited by 353
An exploration of social networking site use, multitasking, and academic performance among United States and European university students
Karpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.011 · Cited by 352
Self-citation
Characteristics of excessive cellular phone use in Korean adolescents
Ha, J. H., Chin, B., Park, D.-H., Ryu, S.-H., & Yu, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0096 · Cited by 304
Palfrey, J.; Gasser, U. Born Digital: Understanding the First Generation of Digital Natives. New York, NY: Basic books, 2008
Galindo, S. (2009) · Cited by 287
Structural equation modeling
DiLalla, L. F. (2000) · Elsevier eBooks · doi:10.1016/b978-012691360-6/50016-1 · Cited by 280
University Students' Internet Use and Its Relationships with Academic Performance, Interpersonal Relationships, Psychosocial Adjustment, and Self-Evaluation
Chen, Y.-F., & Peng, S. S. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0128 · Cited by 256
The satisfaction with life scale (SWLS): Psychometric properties in a non-psychiatric medical outpatients sample
Arrindell, W. A., Meeuwesen, L., & Huyse, F. J. (1991) · Personality and Individual Differences · doi:10.1016/0191-8869(91)90094-r · Cited by 255
Keeping in constant touch: The predictors of young Australians’ mobile phone involvement
Walsh, S. P., White, K. M., Cox, S. D., & Young, R. M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.011 · Cited by 251
The Beck Anxiety Inventory: A psychometric analysis.
Hewitt, P. L., & Norton, G. R. (1993) · Psychological Assessment · doi:10.1037/1040-3590.5.4.408 · Cited by 220
The extended satisfaction with life scale: Development and psychometric properties
Alfonso, V. C., Allison, D. B., Rader, D. E., & Gorman, B. S. (1996) · Social Indicators Research · doi:10.1007/bf00292049 · Cited by 216
Internet and mobile phone text-messaging dependency: factor structure and correlation with dysphoric mood among Japanese adults
Lu, X., Watanabe, J., Liu, Q., Uji, M., Shono, M., & Kitamura, T. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.02.009 · Cited by 197
A longitudinal study of the effects of internet use and videogame playing on academic performance and the roles of gender, race and income in these relationships
Jackson, L. A., von Eye, A., Witt, E. A., Zhao, Y., & Fitzgerald, H. E. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.001 · Cited by 172
Spiritual Functions of Leisure and Spiritual Well-Being: Coping with Time Pressure
Heintzman, P., & Mannell, R. C. (2003) · Leisure Sciences · doi:10.1080/01490400306563 · Cited by 146
Internet use, videogame playing and cell phone use as predictors of children’s body mass index (BMI), body weight, academic performance, and social and overall self-esteem
Jackson, L. A., von Eye, A., Fitzgerald, H. E., Witt, E. A., & Zhao, Y. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.10.019 · Cited by 143
The Beck Anxiety Inventory: A psychometric analysis.
Hewitt, P. L., & Norton, G. R. (1993) · Psychological Assessment · doi:10.1037//1040-3590.5.4.408 · Cited by 135
A Structural Equation Modeling Approach to the Study of Stress and Psychological Adjustment in Emerging Adults
Asberg, K. K., Bowers, C. A., Renk, K., & McKinney, C. (2008) · Child Psychiatry & Human Development · doi:10.1007/s10578-008-0102-0 · Cited by 99
The relationship between mood and subjective well-being
Yardley, J. K., & Rice, R. W. (1991) · Social Indicators Research · doi:10.1007/bf00292653 · Cited by 97
College Female and Male Heavy Internet Users' Profiles of Practices and Their Academic Grades and Psychosocial Adjustment
Chen, S., & Tzeng, J. (2009) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0023 · Cited by 66
Efficacy-mediated effects of spirituality and physical activity on quality of life: A path analysis
Konopack, J. F., & McAuley, E. (2012) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-10-57 · Cited by 63
ACTIVE PROMPTING TO DECREASE CELL PHONE USE AND INCREASE SEAT BELT USE WHILE DRIVING
Clayton, M. C., Helms, B. P., & Simpson, C. (2006) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2006.153-04 · Cited by 49
Instant Mobile Communication, Efficiency, and Quality of Life
Spiegelman, J. (2008) · JAMA · doi:10.1001/jama.299.10.1179 · Cited by 24

Flagged first, then by citations

1 of the 58 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

Lomax, 1989, Covariance structure analysis: Extensions and developments, Vol. 1, 171
Merlo, 2008, Increased cell phone use may heighten symptoms of anxiety, Primary Psychiatry, 15, 27
Stollak, M. J., Vandenberg, A., Burklund, A., & Weiss, S. (2011). Getting social: The impact of social networking usage on grades among college students. In Proceedings from ASBBS annual conference (pp. 859–865).
United States v. Kramer (2011). United States Court of Appeals: 8th Circuit. Vol. 631. Federal 3d page 900.

Sorted by citations

The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study
Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000160 · Cited by 2,095
Problematic smartphone use: a conceptual overview and systematic review of relations with anxiety and depression psychopathology.
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
“…China (n=4) (Hong et al., 2012; Lee et al., 2014; Wang et al., 2015; Yen et al., 2009), Korea (n=4) (Ha et al., 2008; Jeong et al., 2016; Kim et al., 2014; Kim et al., 2015b), and the United States (n=4) (Khang et al., 2013; Kim et al., 2015a; Lee, 2015; Lepp et al., 2014; Smetaniuk, 2014).”
BackgroundMethodInfluential
Relationships among smartphone addiction, stress, academic performance, and satisfaction with life
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.045 · Cited by 1,246
“(2014) showed a negative relationship between smartphone addiction and anxiety (Lepp et al., 2014) and suggestedmore research to investigate this relationship and to search for other relevant variables such as physical activity.”
BackgroundResultInfluential
Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research
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
Online social media fatigue and psychological wellbeing – A study of compulsive use, fear of missing out, fatigue, anxiety and depression
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.01.012 · Cited by 1,033
“Lepp, Barkley, and Karpinski (2013) found that compulsive mobile device users are more likely to su ﬀ er from an anxious state compared to non-compulsive users.”
Background

See all 990

Authors: Lepp, A., Barkley, J. E., & Karpinski, A. C.
Affiliations: Kent State University (US)
Corresponding author: Lepp, Andrew
ORCID: Lepp, Andrew
Barkley, Jacob E.
Karpinski, Aryn C.
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2014-02
Volume: 31
Pages: 343-350
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2013.10.049
OpenAlex: W1998146685
Cited by: 990
References: 58
Citations by year: 2026: 56 · 2025: 59 · 2024: 87 · 2023: 98 · 2022: 94 · 2021: 126 · 2020: 114 · 2019: 91 · 2018: 94 · 2017: 58 · 2016: 56 · 2015: 43 · 2014: 14
FWCI: 116.66
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Computers in Human Behavior (publishedVersion)
Topics: Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
Keywords: mobile phone use, text messaging, academic performance, anxiety, life satisfaction, subjective well-being, university students, GPA, mental health, mediation

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

The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks