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      Improving collegiate student-athletes’ well-being: exploring the roles of openness to experience, knowledge sharing and perceived coaching effectiveness

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          Abstract

          Introduction

          Collegiate student-athletes often encounter various stressors stemming from academic study and athletic training, which can potentially have negative effects on their well-being. This study investigates how collegiate student-athletes’ openness to experience and their engagement in knowledge sharing influence their well-being, as well as the moderating role of perceived coaching effectiveness.

          Methods

          To examine these relationships, we propose and test a conceptual framework using an online survey conducted among collegiate student-athletes from a southeastern province of China. The participants consisted of 484 collegiate student-athletes who voluntarily participated in the study. We used regression analysis and mediation analysis to test the proposed relationships among the variables.

          Results

          Openness to experience has a positive impact on knowledge sharing (β = 0.552, p < 0.05); knowledge sharing with peers positively affects collegiate student-athlete well-being (β = 0.415, p < 0.05) and mediates the relationship between openness to experience and collegiate student-athlete well-being (β = 0.086, p < 0.05). Perceived coaching effectiveness positively moderates the relationship between openness to experience and knowledge sharing (β = 0.170, p < 0.05).

          Discussion

          Our study contributes to the collegiate student-athlete literature by shedding light on the factors that influence their well-being, with insights that bear important managerial implications for universities and coaches.

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          Most cited references64

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics

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              Validation of the five-factor model of personality across instruments and observers.

              Two data sources--self-reports and peer ratings--and two instruments--adjective factors and questionnaire scales--were used to assess the five-factor model of personality. As in a previous study of self-reports (McCrae & Costa, 1985b), adjective factors of neuroticism, extraversion, openness to experience, agreeableness-antagonism, and conscientiousness-undirectedness were identified in an analysis of 738 peer ratings of 275 adult subjects. Intraclass correlations among raters, ranging from .30 to .65, and correlations between mean peer ratings and self-reports, from .25 to .62, showed substantial cross-observer agreement on all five adjective factors. Similar results were seen in analyses of scales from the NEO Personality Inventory. Items from the adjective factors were used as guides in a discussion of the nature of the five factors. These data reinforce recent appeals for the adoption of the five-factor model in personality research and assessment.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                27 July 2023
                2023
                : 14
                : 1191622
                Affiliations
                [1] 1Department of Physical Education, Woosuk University , Jeonju, Republic of Korea
                [2] 2Schol of General Education, Shenyang City University , Shenyang, China
                Author notes

                Edited by: Ángel De-Juanas, National University of Distance Education (UNED), Spain

                Reviewed by: Pawel Adam Piepiora, Wroclaw University of Health and Sport Sciences, Poland; Eric Hall, Elon University, United States; Francisco Serrano Romero, Manukau Institute of Technology, New Zealand

                *Correspondence: Ligang Feng, fengligang@ 123456stu.woosuk.ac.kr
                Article
                10.3389/fpsyg.2023.1191622
                10413552
                3b7d57e8-64b5-47f1-a732-a670840caf45
                Copyright © 2023 Ni and Feng.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 March 2023
                : 13 July 2023
                Page count
                Figures: 2, Tables: 5, Equations: 0, References: 66, Pages: 11, Words: 7685
                Categories
                Psychology
                Original Research
                Custom metadata
                Sport Psychology

                Clinical Psychology & Psychiatry
                collegiate student-athletes,personality traits,stressors,sustainable career development,knowledge sharing,coaching effectiveness

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