64
views
0
recommends
+1 Recommend
1 collections
    2
    shares

      Are you working on research related to technology and human behavior? Are you exploring the impact of social media, artificial intelligence, virtual reality, gaming, and more? If so, we invite you to submit your manuscript to Technology, Mind, and Behavior, an open access journal from the American Psychological Association..

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Adolescents’ Problematic Social Media Use: Agreement and Discrepancies Between Self- Versus Mother- and Father-Reports

      article

      Read this article at

      ScienceOpenPublisher
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Almost all research on adolescents’ problematic social media use (PSMU) utilizes self-reports of symptoms. Recently, parent-report scales have been validated. Yet, in order to use parent-reports, it is imperative to understand the level of agreement between self- and parent-reported adolescents’ PSMU. This study examined agreement and discrepancies between adolescent-, mother-, and father-reported adolescents’ PSMU (assessed with the Social Media Disorder scale) on classification, the overall number of symptoms, and individual symptom level. Data from 234 Dutch adolescents aged 10–19 years and their parents (160 mothers and 91 fathers) from the Digital Family project were used. Configural invariance was established across all dyads and scalar invariance across mothers and fathers. Across adolescents and mothers/fathers, partial scalar invariance was found (one of the nine-item thresholds appeared noninvariant). Overall, we found poor agreement, but the level of agreement seems biased by the low prevalence of PSMU. Positive agreement was lower for symptoms that are harder to observe. Parental over- and underreporting compared to adolescent self-reports on the number of PSMU symptoms occurred to the same extent. Moreover, parental over- and/or underreporting were related to the number of adolescent- and parent-reported adolescents’ PSMU symptoms, adolescents’ gender, and maternal worrying about children’s social media/gaming addiction. Researchers should be aware that self- and parent-reports are not (always) interchangeable.

          Related collections

          Most cited references53

          • Record: found
          • Abstract: not found
          • Article: not found

          The Measurement of Observer Agreement for Categorical Data

            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Interrater reliability: the kappa statistic

            The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen’s kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from −1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen’s suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.
              • Record: found
              • Abstract: not found
              • Article: not found

              A Coefficient of Agreement for Nominal Scales

                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                May 31, 2023
                : 4
                : 2
                Affiliations
                [1]Department of Interdisciplinary Social Science, Utrecht University
                [2]Department of Clinical Child and Family Studies, Utrecht University
                [3]Department of Educational and Family Studies, Vrije Universiteit Amsterdam
                Author notes
                Special Collection Editors: Nick Bowman, Douglas A. Gentile, C. Shawn Green, and Tracy Markle
                Action Editor: C. Shawn Green was the action editor for this article.
                Funding: The present study is part of the Digital Family project which is supported by funding from the Faculty of Social and Behavioral Sciences of Utrecht University, the Netherlands awarded to Ina M. Koning.
                Disclosures: The authors have no conflicts of interest to disclose.
                Data Availability: The data that support the findings of this study are publicly available at https://osf.io/ra2wt/. There have been no prior uses of these data.
                Open Science Disclosures:

                The data are available at https://osf.io/ra2wt/.

                The experimental materials are available at https://osf.io/ra2wt/.

                The preregistered design and analysis plan (transparent changes and data exist notation) are accessible at https://osf.io/ra2wt/.

                [*] Suzanne M. Geurts, Department of Interdisciplinary Social Science, Utrecht University, Padualaan 14, 3584 CH Utrecht, The Netherlands s.m.geurts@uu.nl
                Author information
                https://orcid.org/0000-0002-4995-5348
                Article
                2023-75987-001
                10.1037/tmb0000110
                35373e94-b1bd-44ca-8eb2-7e18d6b70b13
                © 2023 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History
                Categories
                Behavioral Addiction to Technology

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                discrepancies,adolescents’ problematic social media use,parent-reports,agreement,self-reports

                Comments

                Comment on this article

                Related Documents Log