Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported a...

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Bibliographische Detailangaben
Beteiligte: Jones-Jang, S Mo, Heo, Yu-Jin, McKeever, Robert, Kim, Jung-Hyun, Moscowitz, Leigh, Moscowitz, David
In: Journal of Computer-Mediated Communication, 25, 2020, 5, S. 346-363
veröffentlicht:
Oxford University Press (OUP)
Medientyp: Artikel, E-Artikel

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Umfang: 346-363
ISSN: 1083-6101
DOI: 10.1093/jcmc/zmaa009
veröffentlicht in: Journal of Computer-Mediated Communication
Sprache: Englisch
Schlagwörter:
Kollektion: Oxford University Press (OUP) (CrossRef)
Inhaltsangabe

<jats:title>Abstract</jats:title> <jats:p>Despite long-standing concerns over self-reported measures of media use, media research has relied heavily on self-reported data. This study not only examined discrepancies between survey and logged smartphone data but assessed whether correlational outcomes using self-reported measures produce greater or smaller effect sizes compared to outcomes using logged measures. College students (n = 294) and MTurk workers (n = 291) provided self-reported and logged data of smartphone use over seven days. The correlations we examined involved four psychosocial contexts, including bridging, bonding, well-being, and problematic use of smartphones. The results showed that the effect sizes of correlations using self-reported data tend to be smaller compared to those using logged data. We believe that this is a hopeful message to the field. This could mean that extant survey results have not erroneously inflated communication findings and that communication researchers still have a lot to reveal with further refined measures.</jats:p>