• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.47-54
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• 2015

This study was conducted an convergence research on 210 mothers in order to examine the effect of golf on subjective happiness of mothers who have children with disabilities. The factors were conducted surveys using SPSS WIN 18.0 program. Firstly, were mostly 40s, college graduates, Buddhists or had no religion, had housekeeping as occupation, had average household income, and most of them were healthy. In addition, descriptive statistics on their years of experience in golf, golf strokes, field, practice frequency, and practice hours were all above average. Secondly, significant correlations were suggested between experience in golf, golf strokes, field, practice frequency, silence during practice hours, and in the subjective happiness of negative correlation as a result of analysing the correlations between the factors. Thirdly, the field, practice frequency, and practice hours affected the subjective happiness.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.543-555
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• 2013

This study is to analyze effectiveness of golf skills (driving distance, rating of fairway, green in regulation, sand save ratio, recovery ratio, putting average) to average score using records of PGA, LPGA, KPGA, KLPGA. Independent variables were driving distance, rating of fairway, green in regulation, sand save ratio or recovery ratio, putting average. Dependent variable was the scoring average in this study. To analyze these variables, multi-group (PGA vs LPGA, KPGA vs KLPGA, PGA vs KPGA, LPGA vs KLPGA) path analysis was used through AMOS 18.0 program and significance level was set at 0.05. As the result, the variables that show significant differences of path coefficient between PGA model and LPGA model were driving distance and green in regulation to average score. The variables that show significant differences of path coefficient between KPGA model and KLPGA model were driving distance, recovery ratio, and putting average to average score. The variables that show significant differences of path coefficient between PGA model and KPGA model were driving distance, recovery ratio, and putting average to average score. There was not significant difference of path coefficient between LPGA model and KLPGA model.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.448-454
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• 2010

This study targeted adult golf-exercise participants and the purpose of this study was analyzing the effect of exercise-addiction among the participation rate factor in golf-exercise participants. To achieve the purpose of this study, the researcher chose 500 golf-exercise participants located in the D city area, who golf at indoor and outdoor driving ranges. A total of 456 questionnaires were used for the final study and each questionnaire consisted of questions including demographic variables. By using SPSS/PC+ Win 15.0 program, the primary data analysis were frequently analyzed to find out general aspects of golfers, exploratory cause analysis verifies the reliability and validity of the preliminary and factor analysis, ANCOVA. Through this research method and procedure, the following conclusion was drawn. First, depending on the frequency of participants in a round of golf exercise addiction is a difference. Second, golf participants' average score is the difference between the exercise addiction.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.65-71
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• 2011

Path analysis is a useful method to find out direct or indirect effects between variables. Compared to regression analysis for studying the casual relationship, this method has a good advantage. In this study, I want to figure out direct or indirect relationships between golf skills and adjust average scores using path analysis. To analyze data, I applied AMOS in SPSS and collected data in 2010 PGA.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.505-514
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• 2012

This study is for effectiveness of golf skills to average score using path analysis in Professional golf association. The variables in this study were that seven independent variable were driving accuracy, green in regulation, driving distance, sand save ratio, scrambling, putting average, and two endogenous variables were birdie average, bogey average, and dependent variable was the scoring average. To analyze these variables, path analysis was used through AMOS 18.0 program and Alpha level sets at.05. As the result, the final model had significant goodness-of-fit (GFI=.989, RMSEA=.044, TLI=.991, CFI=.998) and showed that green in regulation, driving distance, sand save ratio, scrambling, and putting average significantly affected average score directly. Especially, the scrambling was the highest affectation to average score and the sand save ratio was the lowest affectation to the average score.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.369-377
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• 2013

The purpose of this study was to explore which factors mostly influenced players' tour results employing tour skill factors provided by LPGA. For this study, Top 10 LPGA players' stats during 9 years (2004 2012) were used. As matter of fact, 10 variables were used like average score, top 10 finish, average putt, average birdies, average eagles, driving distance, driving accuracy, greens in regulation, sand saves, putts per GIR. and prize money earning. Stepwise multiple regression was conducted using SPSS win 20.0. Results indicated that the most influential tour skill factor to 9 seasons' results was average score, second influential factor was average putt, and the third factor was driving distance, and then top 10 finish was the fourth. Also on a year on year basis, 2004 was average score, 2005 was GIR., 2006 was average eagles, 2007 was top 10 finish, 2008 was average score, 2009 was average putt, 2010 were average score, GIR. and putt per GIR, 2011 was average birdies and 2012 was putt per GIR.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.345-359
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• 2016

This study aims at providing information on golf industry by survey about effects on purchase decision factors of golf goods and strategies on brand attitude and purchase behavior. As a result of this study, there are sixth reasonable factors of effects as follows. First, age, education and average golf score were meaningful factors on purchase decision. Second, sex and age were significant factors on brand attitude. Third, age was the only meaningful factor on purchase behavior. Fourth, purchase decision factors of golf goods showed significant (+) effects on brand attitude. Fifth, purchase decision factors of golf goods showed significant (+) effect on purchase behavior. Sixth, brand attitude showed significant (+) effect on purchase behavior.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1119-1127
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• 2009

In PGA golf, total prize money and average score are good response variable related to golf skills such as driving distance, green in regulation and putts per green in regulation. But it's not easy to predict the winner of coming tournament. Thus I applied Neural Networks which has pretty good advantages for non-linear complex modeling to binary data. In neural network architectures, I applied NRBF and MLP architecture model for binary data which represent who had a win or not.