Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data
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 pro...
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Veröffentlicht in: | Journal of computer-mediated communication 2020-09, Vol.25 (5), p.346-363 |
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creator | Jones-Jang, S Mo Heo, Yu-Jin McKeever, Robert Kim, Jung-Hyun Moscowitz, Leigh Moscowitz, David |
description | 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. |
doi_str_mv | 10.1093/jcmc/zmaa009 |
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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.</description><identifier>ISSN: 1083-6101</identifier><identifier>EISSN: 1083-6101</identifier><identifier>DOI: 10.1093/jcmc/zmaa009</identifier><language>eng</language><publisher>Hoboken: Oxford University Press</publisher><subject>Communication ; Correlation analysis ; Smartphones</subject><ispartof>Journal of computer-mediated communication, 2020-09, Vol.25 (5), p.346-363</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of International Communication Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press on behalf of International Communication Association. All rights reserved. For permissions, please email: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-15b3ff6023ac128e382aa15f08fdad9ca105bff5c11c9a6f5a3c7735632338023</citedby><cites>FETCH-LOGICAL-c333t-15b3ff6023ac128e382aa15f08fdad9ca105bff5c11c9a6f5a3c7735632338023</cites><orcidid>0000-0003-3935-7421 ; 0000-0002-5924-0514</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Jones-Jang, S Mo</creatorcontrib><creatorcontrib>Heo, Yu-Jin</creatorcontrib><creatorcontrib>McKeever, Robert</creatorcontrib><creatorcontrib>Kim, Jung-Hyun</creatorcontrib><creatorcontrib>Moscowitz, Leigh</creatorcontrib><creatorcontrib>Moscowitz, David</creatorcontrib><title>Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data</title><title>Journal of computer-mediated communication</title><description>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.</description><subject>Communication</subject><subject>Correlation analysis</subject><subject>Smartphones</subject><issn>1083-6101</issn><issn>1083-6101</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE9PAjEQxRujiYje_AA1Hry40u64_7wZBDRBTUTOm6HbwhK2XdsSAje_uSV48ORp3uE3b-Y9Qi45u-OsgN5SNKK3axAZK45Ih7McopQzfvxHn5Iz55aMxRCneYd8j4yp6JvcuCvaN02z1rVAXxtNh7Wuaj139BW3dCbpVFfSSufrBr2sHvZ0izYQdKCUFJ5O6p10dFP7BZ3IlYo-ZGtsQCnqio7NfB7kpEHr24XRwc9J-oQez8mJwpWTF7-zS6bDwWf_ORq_j176j-NIAICPeDIDpdLwNwoe5xLyGJEniuWqwqoQyFkyUyoRnIsCU5UgiCyDJIUYIA9rXXJ98G2t-VqHIOXSrK0OJ8v4PoOsyHIoAnV7oIQ1zlmpytaGxHZbclbuSy73JZe_JQf85oCbdfs_-QOcPX8x</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Jones-Jang, S Mo</creator><creator>Heo, Yu-Jin</creator><creator>McKeever, Robert</creator><creator>Kim, Jung-Hyun</creator><creator>Moscowitz, Leigh</creator><creator>Moscowitz, David</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-3935-7421</orcidid><orcidid>https://orcid.org/0000-0002-5924-0514</orcidid></search><sort><creationdate>20200901</creationdate><title>Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data</title><author>Jones-Jang, S Mo ; Heo, Yu-Jin ; McKeever, Robert ; Kim, Jung-Hyun ; Moscowitz, Leigh ; Moscowitz, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-15b3ff6023ac128e382aa15f08fdad9ca105bff5c11c9a6f5a3c7735632338023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Communication</topic><topic>Correlation analysis</topic><topic>Smartphones</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones-Jang, S Mo</creatorcontrib><creatorcontrib>Heo, Yu-Jin</creatorcontrib><creatorcontrib>McKeever, Robert</creatorcontrib><creatorcontrib>Kim, Jung-Hyun</creatorcontrib><creatorcontrib>Moscowitz, Leigh</creatorcontrib><creatorcontrib>Moscowitz, David</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of computer-mediated communication</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones-Jang, S Mo</au><au>Heo, Yu-Jin</au><au>McKeever, Robert</au><au>Kim, Jung-Hyun</au><au>Moscowitz, Leigh</au><au>Moscowitz, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data</atitle><jtitle>Journal of computer-mediated communication</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>25</volume><issue>5</issue><spage>346</spage><epage>363</epage><pages>346-363</pages><issn>1083-6101</issn><eissn>1083-6101</eissn><abstract>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.</abstract><cop>Hoboken</cop><pub>Oxford University Press</pub><doi>10.1093/jcmc/zmaa009</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-3935-7421</orcidid><orcidid>https://orcid.org/0000-0002-5924-0514</orcidid><oa>free_for_read</oa></addata></record> |
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source | Oxford Journals Open Access Collection; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Communication Correlation analysis Smartphones |
title | Good News! Communication Findings May be Underestimated: Comparing Effect Sizes with Self-Reported and Logged Smartphone Use Data |
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