Correlation Of Social Support Under the degree of Badminton Club Activity Participation (Correlation Of Social Support Under the degree of Badminton Club Activity Participation)

서지정보

· 발행기관 : 한국운동재활학회
· 수록지 정보 : Journal of exercise rehabilitation / 4권 / 1호 / 53 ~ 64페이지
· 저자명 : 김현은, 정구인

초록

The purpose of this study was to contribute to the activation of club activity by readdressing the effectiveness of badminton club activity participation and its degree through an analysis of social support under the degree of participation based on demonstrating the degree of participation and social support under the demographical characteristics. For this objective, this study controlled the population group targeting on the members of life physical exercise badminton club of Y and S city, while the randomized sampling was applied to extract total 300 persons as a sampling target. 263 valid samples were extracted by ruling out the 37 incorrect or omitted answer papers among the returned questionnaires. After the test of confidence level of measuring tool, Cronbach's turned out to be high located between ɑ.7447~.8384. and statistical analytic methods were crosstabulation analysis, ANOVA, correlation analysis, and multiple regression analysis for the data analysis. The conclusions were as follows; First, as for the period of participation under the demographical characteristics, higher age groups show longer participation and this showed a significant difference. Whereas, no significant difference was found in sex, occupation, income and club scale. As for the participation frequency under the demographical characteristics, higher age groups show longer participation and members in bigger club scale has more frequency, which showed a significant difference. Whereas, no significant difference was found in sex, occupation, income and participation frequency. As for the participation time under the demographical characteristics, only income included a significant difference. Second, as for the sociable support under the demographical characteristics, no significant difference was found in sex, age, occupation, club scale and sociable support, while higher income group had a higher social support level, which showed a significant difference. The physical support and emotional support showed no significant difference under the demographical characteristics. Third, as for the relations with the degree of club activity participation and social support, higher participation rate showed a static correlation in proportion with sociable support, physical support, material support, and emotional support. This means that higher social support reflects more participation period, frequency, and time. Given that above study results proved, higher age groups showed more participation period, time and frequency under the demographical characteristics, and as for participation frequency and age, higher age groups reflected more participation frequency. As for the club scale, larger scale reflected more participation frequency, and higher income showed more participation time. The participation time was in proportion with higher income. As for the social support under the demographical characteristics, higher income reflected more social support, and as for the relation between the degree of participation and social support, higher participation rate showed a static correlation in proportion with higher social support.

영어초록

The purpose of this study was to contribute to the activation of club activity by readdressing the effectiveness of badminton club activity participation and its degree through an analysis of social support under the degree of participation based on demonstrating the degree of participation and social support under the demographical characteristics. For this objective, this study controlled the population group targeting on the members of life physical exercise badminton club of Y and S city, while the randomized sampling was applied to extract total 300 persons as a sampling target. 263 valid samples were extracted by ruling out the 37 incorrect or omitted answer papers among the returned questionnaires. After the test of confidence level of measuring tool, Cronbach's turned out to be high located between ɑ.7447~.8384. and statistical analytic methods were crosstabulation analysis, ANOVA, correlation analysis, and multiple regression analysis for the data analysis. The conclusions were as follows; First, as for the period of participation under the demographical characteristics, higher age groups show longer participation and this showed a significant difference. Whereas, no significant difference was found in sex, occupation, income and club scale. As for the participation frequency under the demographical characteristics, higher age groups show longer participation and members in bigger club scale has more frequency, which showed a significant difference. Whereas, no significant difference was found in sex, occupation, income and participation frequency. As for the participation time under the demographical characteristics, only income included a significant difference. Second, as for the sociable support under the demographical characteristics, no significant difference was found in sex, age, occupation, club scale and sociable support, while higher income group had a higher social support level, which showed a significant difference. The physical support and emotional support showed no significant difference under the demographical characteristics. Third, as for the relations with the degree of club activity participation and social support, higher participation rate showed a static correlation in proportion with sociable support, physical support, material support, and emotional support. This means that higher social support reflects more participation period, frequency, and time. Given that above study results proved, higher age groups showed more participation period, time and frequency under the demographical characteristics, and as for participation frequency and age, higher age groups reflected more participation frequency. As for the club scale, larger scale reflected more participation frequency, and higher income showed more participation time. The participation time was in proportion with higher income. As for the social support under the demographical characteristics, higher income reflected more social support, and as for the relation between the degree of participation and social support, higher participation rate showed a static correlation in proportion with higher social support.

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