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Adolescent Popularity as a Nonlinear, Two-Dimensional Construct

Convergent Results From Three Large Samples

Bibliographic Data

ID11670722
AuthorsPeter E L Marks (0000-0001-7997-1616, Austin College, Sherman, TX, USA, corresponding author), Ben Babcock (0000-0003-4107-8894, The Association for Materials Protection and Performance, Houston, TX, USA), Yvonne H M Van Den Berg (0000-0002-9833-7722, Radboud University, Nijmegen, The Netherlands), Rob Gommans (0000-0003-2629-5524, Radboud University, Nijmegen, The Netherlands), Antonius H N Cillessen (0000-0002-5884-907X, Radboud University, Nijmegen, The Netherlands)
Year2021
Volume42
Issue1
Pages115-142
Publication date2021-05-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Early Adolescence (JOURNAL)
Journal identifiersISSN: 0272-4316 • E-ISSN: 1552-5449
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/02724316211016066
OpenAlexW3164061404
LanguageEN
Citations received9
References cited36

The goal of this study was to advance the conceptualization and measurement of adolescent popularity by exploring the commonly used composite score (popularity minus unpopularity). We used standardized peer nominations from 4,414 early adolescents (ages ≈ 12-14 years) from three samples collected in two countries. Popularity and unpopularity were strongly related, but not linearly; scatterplots of the two variables resembled an L-shaped right angle. Subsequent analyses indicated that either including popularity as a curvilinear term or including both popularity and unpopularity as separate terms explained significantly more variance in social and behavioral correlates than linear, bivariate analyses using popularity, unpopularity, or composite popularity. These results suggest that researchers studying adolescent popularity should either separate popularity and unpopularity or treat composite popularity as curvilinear

Bivariate analysis · Conceptualization · Construct (python library · Popularity · Statistics · Bullying, Victimization, and Aggression · Child Development and Digital Technology · Computer Science · Mathematics · Media Influence and Health · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works9
Citations per year2,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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