Related references
Note: Only part of the references are listed.Are smartphones addictive? Examining the cognitive-behavior model of motivation, leisure boredom, extended self, and fear of missing out on possible smartphone addiction
Biying Wu-Ouyang
TELEMATICS AND INFORMATICS (2022)
A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use
Douglas A. Parry et al.
NATURE HUMAN BEHAVIOUR (2021)
Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model
Kaitlyn Burnell et al.
COMMUNICATION METHODS AND MEASURES (2021)
Smartphone Screen Time: Inaccuracy of self-reports and influence of psychological and contextual factors
Leora N. Hodes et al.
COMPUTERS IN HUMAN BEHAVIOR (2021)
Mobile data donations: Assessing self-report accuracy and sample biases with the iOS Screen Time function
Jakob Ohme et al.
MOBILE MEDIA & COMMUNICATION (2021)
Specificity, Conflict, and Focal Point: A Systematic Investigation into Social Media Censorship in China
Yun Tai et al.
JOURNAL OF COMMUNICATION (2020)
Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data
S. Mo Jones-Jang et al.
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION (2020)
Smartphones and psychological well-being in China: Examining direct and indirect relationships through social support and relationship satisfaction
Michael Chan et al.
TELEMATICS AND INFORMATICS (2020)
Do pop-up notifications regarding smartphone use decrease screen time, phone checking behavior, and self-reported problematic smartphone use? Evidence from a two-month experimental study
Karina Loid et al.
COMPUTERS IN HUMAN BEHAVIOR (2020)
Do smartphone usage scales predict behavior?
David A. Ellis et al.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2019)
The Reliability and Temporal Stability of Self-reported Media Exposure: A Meta-analysis
Michael Scharkow
COMMUNICATION METHODS AND MEASURES (2019)
Measuring smartphone usage and task switching with log tracking and self-reports
Tao Deng et al.
MOBILE MEDIA & COMMUNICATION (2019)
Phubbing behavior in conversations and its relation to perceived conversation intimacy and distraction: An exploratory observation study
Mariek M. P. Vanden Abeele et al.
COMPUTERS IN HUMAN BEHAVIOR (2019)
Incorporation of Mobile Application (App) Measures Into the Diagnosis of Smartphone Addiction
Yu-Hsuan Lin et al.
JOURNAL OF CLINICAL PSYCHIATRY (2017)
Comparing the Self-Report and Measured Smartphone Usage of College Students: A Pilot Study
Heyoung Lee et al.
PSYCHIATRY INVESTIGATION (2017)
Users of the main smartphone operating systems (iOS, Android) differ only little in personality
Friedrich M. Goetz et al.
PLOS ONE (2017)
The Accuracy of Self-Reported Internet Use-A Validation Study Using Client Log Data
Michael Scharkow
COMMUNICATION METHODS AND MEASURES (2016)
Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use
Jon D. Elhai et al.
COMPUTERS IN HUMAN BEHAVIOR (2016)
Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App)
Yu-Hsuan Lin et al.
JOURNAL OF PSYCHIATRIC RESEARCH (2015)
Why We Distort in Self-Report: Predictors of Self-Report Errors in Video Game Play
Adam S. Kahn et al.
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION (2014)
Development and Validation of a Smartphone Addiction Scale (SAS)
Min Kwon et al.
PLOS ONE (2013)
Principled missing data methods for researchers
Yiran Dong et al.
SPRINGERPLUS (2013)
Measuring Mobile Phone Use: Self-Report Versus Log Data
Jeffrey Boase et al.
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION (2013)
Measuring mobile phone use: Gender, age and real usage level in relation to the accuracy and validity of self-reported mobile phone use
Mariek Vanden Abeele et al.
MOBILE MEDIA & COMMUNICATION (2013)
Inference by eye: Reading the overlap of independent confidence intervals
Geoff Cumming
STATISTICS IN MEDICINE (2009)
The effects of recall errors and of selection bias in epidemiologic studies of mobile phone use and cancer risk
Martine Vrijheid et al.
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY (2006)
A short scale for measuring loneliness in large surveys - Results from two population-based studies
ME Hughes et al.
RESEARCH ON AGING (2004)
Real time and recall measures of mobile phone use: some methodological concerns and empirical applications
AA Cohen et al.
NEW MEDIA & SOCIETY (2003)