How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Sewall, Craig J. R.; Bear, Todd M.; Merranko, John; Rosen, Daniel

doi:10.1177/2050157920902830

Cited by 139Impact of Technology on AdolescentsChild Development and Digital TechnologyDigital Media and Philosophy

How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Sewall, Craig J. R., Bear, Todd M., Merranko, John, Rosen, Daniel·2020·Mobile Media & Communication

DOI 10.1177/2050157920902830

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Abstract

Using Apple’s Screen Time application to obtain reported actual iPhone and social media (SM) use, we examined the accuracy of retrospective estimates of usage, how inaccuracies bias associations between use and psychosocial well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 325 iPhone users, we found that (a) participants misestimated their weekly overall iPhone and SM use by 19.1 and 12.2 hours, respectively; (b) correlations between estimated use and well-being variables were consistently stronger than the correlations between reported actual use and well-being variables; and (c) the degree of inaccuracy in estimated use was associated with levels of participant well-being and amount of use. These findings suggest that retrospective estimates of digital technology use may be systematically biased by factors that are fundamental to the associations under investigation. We propose that retrospective estimates of digital technology use may be capturing the construct of perceived use rather than actual use, and discuss how the antecedents, correlates, and consequences of perceived use may be distinct from those of actual use. Implications of these findings are discussed in view of the ongoing debate surrounding the effects of digital technology use on well-being.

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Self-report measures can be particularly ill-fitting for gaining accurate data on people's technology-related use.
“evidence suggests that these can be particularly ill-fitting for the purposes of gaining accurate data on people’s technology-related use [27,37,38]”
From The Conceptual and Methodological Mayhem of “Screen Time” (2020) · cites this paper as [38]
iPhone users' estimates of daily social media use are less accurate than their reports of overall daily iPhone use.
“iPhone users’ estimates of daily social media use are less accurate than their reports of overall daily iPhone use [38]”
From The Conceptual and Methodological Mayhem of “Screen Time” (2020) · cites this paper as [38]

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Authors: Sewall, C. J. R., Bear, T. M., Merranko, J., & Rosen, D.
Affiliations: University of Pittsburgh (US)
University of Pittsburgh Medical Center (US)
Corresponding author: Sewall, Craig J. R.
ORCID: Sewall, Craig J. R.
Bear, Todd M.
Merranko, John
Rosen, Daniel
Venue: Mobile Media & Communication
Publisher: SAGE Publications
Published: 2020-03-31
Volume: 8
Issue: 3
Pages: 379-399
ISSN: 2050-1579 (ISSN-L)
2050-1587
DOI: 10.1177/2050157920902830
OpenAlex: W3014723656
Cited by: 139
References: 51
Citations by year: 2026: 10 · 2025: 16 · 2024: 28 · 2023: 26 · 2022: 25 · 2021: 26 · 2020: 8
FWCI: 28.36
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Mobile Media & Communication (publishedVersion)
Funders: Robert and Sally Schwartz Endowed Resource Fund
Topics: Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Social Sciences › Education › Child Development and Digital Technology
Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
Keywords: digital technology use, actual use, psychosocial well-being, depression, loneliness, life satisfaction, social media use, measurement bias

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How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

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