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Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data

  • S. M. Jones-Jang
  • , Yu Jin Heo
  • , Robert McKeever
  • , Jung Hyun Kim
  • , Leigh Moscowitz
  • , David Moscowitz

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)346-363
Number of pages18
JournalJournal of Computer-Mediated Communication
Volume25
Issue number5
DOIs
StatePublished - Sep 1 2020

All Science Journal Classification (ASJC) codes

  • Communication

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