Multilevel examination of job satisfaction and career intentions of collegiate athletic trainers : a quantitative approach

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Deutscher übersetzter Titel:Multidimensioanle Erforschung der Zufriedenheit im Job und Karriereziele bei Athletik-Trainern auf dem College : eine quantitative Annäherung
Autor:Eason, Christianne M.; Mazerolle, Stephanie M.; Denegar, Craig R.; Pitney, William A.; McGarry, Jennifer
Erschienen in:Journal of athletic training
Veröffentlicht:53 (2018), 1, S. 80-87, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:1062-6050, 0160-8320, 1938-162X
DOI:10.4085/1062-6050-52.11.27
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Erfassungsnummer:PU201802001243
Quelle:BISp

Abstract

Context: Recent employment data from collegiate athletic training settings have demonstrated departure trends among men and women. These trends have been hypothesized to be related to work-life balance. However, work-life balance is only 1 aspect of a myriad of factors. Due to the complex nature of the work-life interface, a multilevel examination is needed to better understand the precipitators of departure. Objective: To quantitatively examine factors that may influence collegiate athletic trainers' (ATs') job satisfaction and career intentions via a multilevel examination of the work-life interface. Design: Cross-sectional study. Setting: Web-based questionnaire. Patients or Other Participants: Athletic trainers employed in National Collegiate Athletic Association Division I, II, or III or National Association of Intercollegiate Athletics colleges or universities (N = 299: 56.5% female, 43.5% male). The average age of participants was 33.6 ± 8.3 years, and their average experience was 10.3 ± 7.6 years. Data Collection and Analysis: Participants responded to an online questionnaire consisting of demographic questions, 9 Likert-scale surveys, and open-ended questions. Job-satisfaction Scores (JSSs) and intention-to-leave scores (ITLSs) served as the dependent variables and factors from individual, organizational, and sociocultural levels were the independent variables. Hierarchical regression analysis was run to determine the predictability of factors. Results: No sex differences in ITLS or JSS were found in our sample. Independent variables explained 68.5% of the variance in JSS and 28.8% of the variance in ITLS. Additions of factor levels increased the percentage of explained variance in both scores. Conclusions: A combination of individual-, organizational-, and sociocultural-level factors was able to best predict JSS and ITLS among collegiate ATs.