TY - JOUR
T1 - Network Centrality, Group Density, and Strength of Social Identification in College Club Sport Teams
AU - Graupensperger, Scott
AU - Panza, Michael
AU - Evans, M. Blair
N1 - Publisher Copyright:
© 2019 American Psychological Association
PY - 2020
Y1 - 2020
N2 - With the underlying rationale that social identification is related to psychological health and well-being, we aimed to understand how social connections and group structure within college club sport teams relate to students’ perceptions of social identification. We sampled 852 student-athletes from 35 intact same-sex college club sport teams. Using social network analyses derived from teammates’ reports of connections with one another (i.e., time spent outside of sport, and teammate friendships), we computed: outdegree centrality (i.e., self-reported connections with teammates), indegree centrality (i.e., nominations from others), and group-level density. Multilevel models were fit to test the relative effects of outdegree centrality, indegree centrality, and group-level team density on athletes’ social identification strength. Outdegree centrality, indegree centrality, and team density were all positively related to the strength of athletes’ social identification with their sport team. Examining model results step by step, incoming nominations of social connections (i.e., indegree) were associated with social identification beyond the effects of self-reported outdegree centrality. Furthermore, team-level density was significantly related to social identification after accounting for the individual-level effects of centrality. Sport is a domain in which participants can build social connections with peers, and sport groups offer a salient source for social identification. The current findings indicate that athletes who have greater social connections with teammates may form a stronger sense of social identification. Alongside theoretical contributions to a social identity approach to studying small groups, the current study highlights the utility of studying small groups using social network methodologies.
AB - With the underlying rationale that social identification is related to psychological health and well-being, we aimed to understand how social connections and group structure within college club sport teams relate to students’ perceptions of social identification. We sampled 852 student-athletes from 35 intact same-sex college club sport teams. Using social network analyses derived from teammates’ reports of connections with one another (i.e., time spent outside of sport, and teammate friendships), we computed: outdegree centrality (i.e., self-reported connections with teammates), indegree centrality (i.e., nominations from others), and group-level density. Multilevel models were fit to test the relative effects of outdegree centrality, indegree centrality, and group-level team density on athletes’ social identification strength. Outdegree centrality, indegree centrality, and team density were all positively related to the strength of athletes’ social identification with their sport team. Examining model results step by step, incoming nominations of social connections (i.e., indegree) were associated with social identification beyond the effects of self-reported outdegree centrality. Furthermore, team-level density was significantly related to social identification after accounting for the individual-level effects of centrality. Sport is a domain in which participants can build social connections with peers, and sport groups offer a salient source for social identification. The current findings indicate that athletes who have greater social connections with teammates may form a stronger sense of social identification. Alongside theoretical contributions to a social identity approach to studying small groups, the current study highlights the utility of studying small groups using social network methodologies.
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U2 - 10.1037/gdn0000106
DO - 10.1037/gdn0000106
M3 - Article
AN - SCOPUS:85070456737
SN - 1089-2699
VL - 24
SP - 59
EP - 73
JO - Group Dynamics
JF - Group Dynamics
IS - 2
ER -