Ten essential features of European dual career development environments: A multiple case study
Ten essential features of European dual career development environments: A multiple case study
复制标题
欧洲双重职业发展环境的十大基本特征:多案例研究
DOI:
10.1016/j.psychsport.2021.101918
复制
发表时间:
2021
影响因子:
3.4
通讯作者:
S. Cecić Erpič
中科院分区:
文献类型:
--
作者:
L. K. Storm;Kristoffer Henriksen;N. Stambulova;Emily Cartigny;T. Ryba;Koen de Brandt;Yago Ramis;S. Cecić Erpič
AimDual career development environments (DCDEs) support athletes' effort in combining their competitive sporting careers with education or work. The characteristics of the environments may differ across cultures. The aim was to identify essential features of DCDEs based on a cross-case analysis of seven European DCDEs in Belgium, Denmark, Finland, Slovenia, Spain, Sweden, and the United Kingdom within the Erasmus+ Sport project “Ecology of Dual Career”.DesignThe study was designed as a multiple case study and based on two holistic ecological working models (Henriksen et al., 2020). The cross-case analysis included series of focus group discussions, in which two-three researchers from each partner country and four dual career (DC) support providers compared the findings across seven national cases with a primary focus on similarities rather than differences.ResultsA list of ten essential features of the DCDEs, structured into two overarching themes. (1) Holistic structure with five subthemes: Dedicated DC support team, Integration of efforts across the whole environment, A clear understanding of DC issues and support from across the environment, Role models and mentorship, and Access to expert support. (2) Shared DC philosophy also had five subthemes: A whole-person approach, An empowerment approach, Flexible DC solutions, Care of DC athlete's mental health and wellbeing, and An open and proactive approach to the development of the environment.ConclusionThe features are introduced in the manner of discussions, thus providing detailed information about the DCDEs without losing (too much) contextual information. These features can help researcher-practitioners to understand DCDEs and guide their optimization.
影响因子:
9.1
作者:
R. Shapiro;R. Wasserman;V. Bonagura;Sudhir Gupta
通讯作者:
R. Shapiro;R. Wasserman;V. Bonagura;Sudhir Gupta