Being Interpersonally Attractive and/or Being a Target of Verbal Aggressiveness: Social Network Analysis in Physical Education Classes

Abstract

The objective of this study is to detect combinations of students’ interpersonal attraction and verbal aggressiveness during physical education and to point out their determinants. A sample of four students’ networks (88 nodes - 50 male and 38 female) from secondary education in Trikala, Greece has been collected. Standardized questionnaires were used. Social network analysis, Spearman and PCA have been implemented. Scientific attractiveness is positively related to social and physical attractiveness. It seems to protect from being a target of verbal aggressiveness, being a disputer and weak during a discussion. Scientific attractiveness helps getting the reputation of a mentor on academic and personal issues. Social attractiveness seems to protect less than scientific attractiveness from being a target for verbal aggressiveness, while physical attractiveness encourages receiving verbal aggressiveness although it allows to get recognition as mentor. Being a target for verbal aggressiveness is positively related to being a disputer during discussions. Specific behavioural types are proposed: “the interpersonally attractive mentor” who consists of scientific, social and physical attractiveness, is recognized as a mentor, attracts others’ sympathy and at the same time they are protected from all forms of verbal aggressiveness and “the physically attractive target” who is only physically attractive and at the same time a target for all forms of verbal aggressiveness.

Presenters

Maria Litsa
Phd Candidate, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece

Kyriaki Spanou
Fellowship Lecturer, Physical Education and Sport Science, University of Thessaly, Greece

Alexandra Bekiari
University of Thessaly, Greece

Details

Presentation Type

Online Lightning Talk

Theme

Educational Studies

KEYWORDS

Attractiveness, Verbal aggressiveness, Social network analysis

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