{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T05:14:19Z","timestamp":1776402859756,"version":"3.51.2"},"reference-count":38,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T00:00:00Z","timestamp":1598227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <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\u2009=\u2009294) and MTurk workers (n\u2009=\u2009291) 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>","DOI":"10.1093\/jcmc\/zmaa009","type":"journal-article","created":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T11:20:06Z","timestamp":1592997606000},"page":"346-363","source":"Crossref","is-referenced-by-count":51,"title":["Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3935-7421","authenticated-orcid":false,"given":"S Mo","family":"Jones-Jang","sequence":"first","affiliation":[{"name":"Department of Communication, Boston College, Chestnut Hill, MA 02467, USA"}]},{"given":"Yu-Jin","family":"Heo","sequence":"additional","affiliation":[{"name":"School of Journalism and Mass Communications, University of South Carolina, Columbia, SC 29201, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5924-0514","authenticated-orcid":false,"given":"Robert","family":"McKeever","sequence":"additional","affiliation":[{"name":"School of Journalism and Mass Communications, University of South Carolina, Columbia, SC 29201, USA"}]},{"given":"Jung-Hyun","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Media, Arts, and Science, Sogang University, Seoul, South Korea"}]},{"given":"Leigh","family":"Moscowitz","sequence":"additional","affiliation":[{"name":"School of Journalism and Mass Communications, University of South Carolina, Columbia, SC 29201, USA"}]},{"given":"David","family":"Moscowitz","sequence":"additional","affiliation":[{"name":"School of Journalism and Mass Communications, University of South Carolina, Columbia, SC 29201, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,8,24]]},"reference":[{"key":"2020092810245305800_zmaa009-B1","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1016\/j.chb.2010.03.018","article-title":"Social network use and personality","volume":"26","author":"Amichai-Hamburger","year":"2010","journal-title":"Computers in Human Behavior"},{"key":"2020092810245305800_zmaa009-B2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/19312458.2017.1317337","article-title":"How much time do you spend online? 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