University of Arkansas
Children’s Positive Peer Relationships and their Bullying Behaviors: A Latent Profile Analysis
Abstract
dc:description.abstract<p>In the current study, I aim to expand upon traditional methods for classifying children based on positive peer nominations and contribute to the field’s understanding of high-status bullies who maintain social resources despite bulling behaviors (e.g., van der Ploeg et al., 2020). Both reciprocated and one-sided (i.e., received and sent) positive peer nominations were used to distinguish socially meaningful subgroups. Participants included 659 children from 34 classrooms (M Age = 9.31 years, SD = .49 years; girls = 50.6%; Hispanic/Latino/a/x = 42.5%, White/European American = 29.9%, Black/African American = 2.3%, Asian/Asian American/Pacific Islander = 11.7%, Native American = 2.3%, Bi/Multiracial = 8.2%, Other or Missing = 4.6%). Results from latent profile analyses (LPA) indicated a 4-class solution best fit the data. Examination of classes and outcomes revealed a class of children with many reciprocated/received and few sent nominations who were more likely to be girls and generally better adjusted (e.g., less depressive symptoms and more prosocial) compared to other classes. A second class was characterized by few reciprocated/received and many sent nominations. Children in this class were less well-adjusted compared to other classes. Also identified was a class high on both reciprocated and sent nominations with few received nominations, and an average class with similar levels of reciprocated, received, and sent nominations. Classes did not differ as a function of self-reported bullying behavior; however, differences did emerge as a function of peer-reported bullying behavior. Results, implications, and future directions are discussed.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy in Psychology (PhD)
- Level thesis:degree_level
- Dissertation
- Year dc:date.available
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Mutignani, Lauren
- Advisor dc:contributor.advisor
-
- Cavell, Timothy A.
- Contributors dc:contributor
-
- Quetsch, Lauren B.
- Behrend, Douglas A.
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarworks.uark.edu/etd/4566
- OAI identifier oai:identifier
- oai:scholarworks.uark.edu:etd-6116