Technology Use Typologies and Psychological Adjustment During Adolescence
The primary purpose of this study was to identify subgroups of adolescents based on their reported use of technology. Secondary aims were to examine whether technology use typologies differ by gender and to explore whether technology use typologies are linked to psychological adjustment. The sample...
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| Veröffentlicht in: | Youth & society 2020-09, Vol.52 (6), p.960-983 |
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| creator | Ohannessian, Christine M. Vannucci, Anna |
| description | The primary purpose of this study was to identify subgroups of adolescents based on their reported use of technology. Secondary aims were to examine whether technology use typologies differ by gender and to explore whether technology use typologies are linked to psychological adjustment. The sample included 1,003 10th and 11th grade students from U.S. high schools. Participating adolescents completed a survey in school. Latent class analysis (LCA) revealed three subgroups for adolescent girls and boys. Both girls and boys were characterized by a HIGH overall use subgroup and a LOW overall use subgroup. For the third subgroup, girls were characterized by high social-entertainment device use (SOC-ENT), whereas boys were characterized by high video game and computer use (VG-COMP). These subgroups were differentially related to self-competence and internalizing symptoms (depression and anxiety). Findings from this study highlight the importance of examining typologies of technology use by gender during adolescence. |
| doi_str_mv | 10.1177/0044118X18785089 |
| format | Article |
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Secondary aims were to examine whether technology use typologies differ by gender and to explore whether technology use typologies are linked to psychological adjustment. The sample included 1,003 10th and 11th grade students from U.S. high schools. Participating adolescents completed a survey in school. Latent class analysis (LCA) revealed three subgroups for adolescent girls and boys. Both girls and boys were characterized by a HIGH overall use subgroup and a LOW overall use subgroup. For the third subgroup, girls were characterized by high social-entertainment device use (SOC-ENT), whereas boys were characterized by high video game and computer use (VG-COMP). These subgroups were differentially related to self-competence and internalizing symptoms (depression and anxiety). 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Secondary aims were to examine whether technology use typologies differ by gender and to explore whether technology use typologies are linked to psychological adjustment. The sample included 1,003 10th and 11th grade students from U.S. high schools. Participating adolescents completed a survey in school. Latent class analysis (LCA) revealed three subgroups for adolescent girls and boys. Both girls and boys were characterized by a HIGH overall use subgroup and a LOW overall use subgroup. For the third subgroup, girls were characterized by high social-entertainment device use (SOC-ENT), whereas boys were characterized by high video game and computer use (VG-COMP). These subgroups were differentially related to self-competence and internalizing symptoms (depression and anxiety). Findings from this study highlight the importance of examining typologies of technology use by gender during adolescence.</description><subject>Adjustment</subject><subject>Adolescence</subject><subject>Adolescent boys</subject><subject>Adolescent girls</subject><subject>Adolescents</subject><subject>Anxiety</subject><subject>Boys</subject><subject>Child development</subject><subject>Children</subject><subject>Children & youth</subject><subject>Competence</subject><subject>Computer & video games</subject><subject>Computer Use</subject><subject>Correlation</subject><subject>Depression (Psychology)</subject><subject>Emotional Adjustment</subject><subject>Entertainment</subject><subject>Gender</subject><subject>Gender Differences</subject><subject>Girls</subject><subject>Grade 10</subject><subject>Grade 11</subject><subject>High School Students</subject><subject>Information Technology</subject><subject>Internalization</subject><subject>Latent class analysis</subject><subject>Measures (Individuals)</subject><subject>Mental depression</subject><subject>Screening Tests</subject><subject>Secondary school students</subject><subject>Secondary schools</subject><subject>Self Concept</subject><subject>Self Concept Measures</subject><subject>Social Media</subject><subject>Student Attitudes</subject><subject>Symptoms</subject><subject>Symptoms (Individual Disorders)</subject><subject>Technology</subject><subject>Teenagers</subject><subject>Typology</subject><subject>Video Games</subject><issn>0044-118X</issn><issn>1552-8499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp1UMFOwzAMjRBIjMGdC1IlzoU4TZb0OI0BQ5Pg0Encqixztk5dO5L20L8npQgkJHyx7Pf8nm1CroHeAUh5TynnAOodlFSCqvSEjEAIFiuepqdk1MNxj5-TC-_3NIRI2IgsMjS7qi7rbRetPEZZd-yLAn2kq0305juz-2oYXUbTzb71zQGrJnpoXVFtQ6cu0RusDF6SM6tLj1ffeUxWj_Ns9hwvX58Ws-kyNkkCTQwaYSPUWrFUC7SIKpkgcORS8ySVaCggCzdMhABhhEyk5MZaO7Ep4-u1TcbkdtA9uvqjRd_k-7p1VbDMGWeKMsmoCiw6sIyrvXdo86MrDtp1OdC8f1j-92Fh5GYYQVeYH_r8BZhIWVhkTOIB93qLv6b_6n0C3Rt0JA</recordid><startdate>202009</startdate><enddate>202009</enddate><creator>Ohannessian, Christine M.</creator><creator>Vannucci, Anna</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>WZK</scope></search><sort><creationdate>202009</creationdate><title>Technology Use Typologies and Psychological Adjustment During Adolescence</title><author>Ohannessian, Christine M. ; 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| source | Sociological Abstracts; Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List |
| subjects | Adjustment Adolescence Adolescent boys Adolescent girls Adolescents Anxiety Boys Child development Children Children & youth Competence Computer & video games Computer Use Correlation Depression (Psychology) Emotional Adjustment Entertainment Gender Gender Differences Girls Grade 10 Grade 11 High School Students Information Technology Internalization Latent class analysis Measures (Individuals) Mental depression Screening Tests Secondary school students Secondary schools Self Concept Self Concept Measures Social Media Student Attitudes Symptoms Symptoms (Individual Disorders) Technology Teenagers Typology Video Games |
| title | Technology Use Typologies and Psychological Adjustment During Adolescence |
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