Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.913
Yuan-Zhen Ni, Seong-No Lee, Deok-Soo Yoo
The purpose of this study is to determine whether there is a difference in performance level among participating players and the participation of star players in the 30th Men"s Basketball Asia Cup in 2022, based on box score data provided on the official Asian Cup website. Clustering was performed using k-means cluster analysis, one of the machine learning techniques. The subject of this study was the game records of 189 players out of 16 teams participating in the tournament obtained through the official records of the 2022 Men"s Basketball Asian Cup tournament, and differences in the players" performance characteristics were compared through a total of 21 variables. This study used the statistical program Python version 3.10.1 along with the library to perform cluster analysis. All significance levels for statistical analysis were set to .05, and the results obtained were as follows. First, as a result of cluster analysis using official records provided by the 2022 Men"s Basketball Asian Cup competition, players from each country at the Basketball Asian Cup could be classified into three clusters. Second, there was a statistically significant difference in performance by cluster between cluster 1, cluster 2, and cluster 3, and the post-hoc test results showed that the players in cluster 2 had the best performance. Next, it was confirmed in the order of cluster 3 > cluster 1. Third, the abnormality detection results showed that there were 9 abnormal values among the cluster analysis results. Looking at this, ‘Q. Zhou’, ‘H. EHaddadi’, ‘A. Al Dwairi’, ‘G. ‘RA’, ‘D. Chism’, ‘A. Alderazi’, ‘W. Artino’, ‘M. Bolden’, ‘W. Arakji’ 9 were found to be basketball players. Fourth, the outlier players and all remaining players are divided into points, shots made, shot attempts, 2-point shots made, 2-point shots attempted, free throws made, free throw attempts, offensive rebounds, defensive rebounds, turnovers, There was a significant difference in block and efficiency. Summarizing the results of this study, from the perspective of a leader, strategies and tactics for the next men"s basketball Asia Cup tournament can be designed and implemented based on the characteristics of the players in each group. On the player side, based on the performance characteristics of players in each group, it is possible to determine the individual"s performance level and the gap in performance with other excellent players in this competition.
{"title":"Cluster Analysis of Payers through the 2022 FIBA Men\"s Basketball Asian Cup Match Records","authors":"Yuan-Zhen Ni, Seong-No Lee, Deok-Soo Yoo","doi":"10.35159/kjss.2023.10.32.5.913","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.913","url":null,"abstract":"The purpose of this study is to determine whether there is a difference in performance level among participating players and the participation of star players in the 30th Men\"s Basketball Asia Cup in 2022, based on box score data provided on the official Asian Cup website. Clustering was performed using k-means cluster analysis, one of the machine learning techniques. The subject of this study was the game records of 189 players out of 16 teams participating in the tournament obtained through the official records of the 2022 Men\"s Basketball Asian Cup tournament, and differences in the players\" performance characteristics were compared through a total of 21 variables. This study used the statistical program Python version 3.10.1 along with the library to perform cluster analysis. All significance levels for statistical analysis were set to .05, and the results obtained were as follows. First, as a result of cluster analysis using official records provided by the 2022 Men\"s Basketball Asian Cup competition, players from each country at the Basketball Asian Cup could be classified into three clusters. Second, there was a statistically significant difference in performance by cluster between cluster 1, cluster 2, and cluster 3, and the post-hoc test results showed that the players in cluster 2 had the best performance. Next, it was confirmed in the order of cluster 3 > cluster 1. Third, the abnormality detection results showed that there were 9 abnormal values among the cluster analysis results. Looking at this, ‘Q. Zhou’, ‘H. EHaddadi’, ‘A. Al Dwairi’, ‘G. ‘RA’, ‘D. Chism’, ‘A. Alderazi’, ‘W. Artino’, ‘M. Bolden’, ‘W. Arakji’ 9 were found to be basketball players. Fourth, the outlier players and all remaining players are divided into points, shots made, shot attempts, 2-point shots made, 2-point shots attempted, free throws made, free throw attempts, offensive rebounds, defensive rebounds, turnovers, There was a significant difference in block and efficiency. Summarizing the results of this study, from the perspective of a leader, strategies and tactics for the next men\"s basketball Asia Cup tournament can be designed and implemented based on the characteristics of the players in each group. On the player side, based on the performance characteristics of players in each group, it is possible to determine the individual\"s performance level and the gap in performance with other excellent players in this competition.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.869
Dong-Kyun Kang, Sae-Hyung Kim
The purpose of this study was to verify the goodness-of-fit of coaching competency measurement scale recognized by rower player. The 210(men=119; women=91) Korean rower players were surveyed. Winsteps 5.6.0 program was used and the significance level was set at 0.05. The results were as follows. First, the evidence based on the contents of the test, the coaching competency measurement scale recognized by rower players consisting of 4 factors, 17 questions, and 5-point response categories was determined. Second, 4-point response category more appropriate than 5-point response category. Third, there is no problem even if the 17 questions classified into 4 factors are integrated and analyzed as one factor. Fourth, as a result of the goodness-of-fit analysis of the items, one item (item 1) was inappropriate. Fifth, one item (item 2) was differential item functioning according to the group of presence or absence of prize. Therefore, the coaching competency measurement scale recognized by rower players was the 15 questions, 4-point response category without classifying factors.
{"title":"Goodness-of-Fit of Coaching Competency Measurement Scale Recognized by Rower Player","authors":"Dong-Kyun Kang, Sae-Hyung Kim","doi":"10.35159/kjss.2023.10.32.5.869","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.869","url":null,"abstract":"The purpose of this study was to verify the goodness-of-fit of coaching competency measurement scale recognized by rower player. The 210(men=119; women=91) Korean rower players were surveyed. Winsteps 5.6.0 program was used and the significance level was set at 0.05. The results were as follows. First, the evidence based on the contents of the test, the coaching competency measurement scale recognized by rower players consisting of 4 factors, 17 questions, and 5-point response categories was determined. Second, 4-point response category more appropriate than 5-point response category. Third, there is no problem even if the 17 questions classified into 4 factors are integrated and analyzed as one factor. Fourth, as a result of the goodness-of-fit analysis of the items, one item (item 1) was inappropriate. Fifth, one item (item 2) was differential item functioning according to the group of presence or absence of prize. Therefore, the coaching competency measurement scale recognized by rower players was the 15 questions, 4-point response category without classifying factors.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.195
Ok-Ju Kim, Ryu-Kyeong Kim, Min Ku
This study was initiated to explore the consumption behavior of the long-standing golf consumer base, which comprises middle-aged individuals, and the emerging MZ generation. Additionally, the study aimed to lay the groundwork for practical applications in various domains, including golf-related businesses and marketing strategies, while also enhancing our understanding of consumer preferences across different age groups. Through an investigation into the degree of interpersonal sensitivity and conspicuous consumption in golf participants, our goal was to reveal how these factors influence self-expression cognition and consumption behavior intention. The study was conducted with the purpose of providing insights into these specific aspects.BR In the study, the sampling method involved using convenience sampling, a type of non-probability sampling technique, to select the final sample of participants. The questionnaire was developed using a self-reporting methodology, and the survey was administered through personal visits by the researcher to golf clubs. The survey was conducted among individuals who were members of these golf clubs. A total of 300 survey responses were collected. After excluding 13 responses deemed unreliable, 287 responses(95.6%) were used for the purposes of research analysis.BR The results of the study are outlined as follows: First, the degree of interpersonal sensitivity in golf participants had a significant effect on self-expression cognition. Second, the interpersonal sensitivity of golf participants showed a significant effect on consumption behavior intention. Third, conspicuous consumption had a significant effect on self-expression cognition in golf participants. Lastly, conspicuous consumption was also observed to have a significant effect on consumption behavior intention in golf participants. In conclusion, the study offers theoretical insight into the notable roles played by interpersonal sensitivity and conspicuous consumption in shaping self-expression cognition and consumption behavior intention in golf participants.
{"title":"The Effects of Interpersonal Sensitivity and Conspicuous Consumption on Self-Expression Cognition and Consumption Behavior Intention in Golf Participants","authors":"Ok-Ju Kim, Ryu-Kyeong Kim, Min Ku","doi":"10.35159/kjss.2023.10.32.5.195","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.195","url":null,"abstract":"This study was initiated to explore the consumption behavior of the long-standing golf consumer base, which comprises middle-aged individuals, and the emerging MZ generation. Additionally, the study aimed to lay the groundwork for practical applications in various domains, including golf-related businesses and marketing strategies, while also enhancing our understanding of consumer preferences across different age groups. Through an investigation into the degree of interpersonal sensitivity and conspicuous consumption in golf participants, our goal was to reveal how these factors influence self-expression cognition and consumption behavior intention. The study was conducted with the purpose of providing insights into these specific aspects.BR In the study, the sampling method involved using convenience sampling, a type of non-probability sampling technique, to select the final sample of participants. The questionnaire was developed using a self-reporting methodology, and the survey was administered through personal visits by the researcher to golf clubs. The survey was conducted among individuals who were members of these golf clubs. A total of 300 survey responses were collected. After excluding 13 responses deemed unreliable, 287 responses(95.6%) were used for the purposes of research analysis.BR The results of the study are outlined as follows: First, the degree of interpersonal sensitivity in golf participants had a significant effect on self-expression cognition. Second, the interpersonal sensitivity of golf participants showed a significant effect on consumption behavior intention. Third, conspicuous consumption had a significant effect on self-expression cognition in golf participants. Lastly, conspicuous consumption was also observed to have a significant effect on consumption behavior intention in golf participants. In conclusion, the study offers theoretical insight into the notable roles played by interpersonal sensitivity and conspicuous consumption in shaping self-expression cognition and consumption behavior intention in golf participants.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"173 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135980021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.655
Sun-Young Lim, Ji-Seol Lee
The purpose of this study is to identify academic research trends in the field of dance philosophy in Korea before and after COVID-19. For the analysis, keyword analysis and TF-IDF analysis were conducted using text mining and topic modeling analysis techniques using Textome 5.0. In addition, the LDA model was applied to derive the coherence score, then the appropriate number of topics was specified, and visualized using pyLDAvis. As a result of the analysis, first, the top 10 major keywords in the before COVID-19 period were extracted as human, body, ideology, value, dance education, movement, expression, life, Korean dance, and diversity, and in the after COVID-19 period, dance, movement, It was extracted into the following categories: body, dance education, humans, technology, life, artificial intelligence, diversity, and ideology. Second, as a result of TF-IDF analysis in the before COVID-19 period, Korean dance, ideology, Korean dance, Dangun myth, body, dance education, choreographer, movement, human, and Heidegger were extracted as major keywords, and in the after COVID-19 period, artificial intelligence, dance, movement, body, dance education, science and technology, life, Seonyoung Kang, humans, and play were extracted. Third, the dance philosophy research topics in the before COVID-19 period were derived as ‘philosophical meaning of dance education’ and ‘diversity of movement education’. On the other hand, the topics of the after COVID-19 period were derived as ‘the untact era and the direction of dance education’ and ‘the philosophical meaning of dance from the perspective of dance anthropology’.
{"title":"Analysis of dance philosophy research trends before and after COVID-19 using text mining-based topic modeling","authors":"Sun-Young Lim, Ji-Seol Lee","doi":"10.35159/kjss.2023.10.32.5.655","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.655","url":null,"abstract":"The purpose of this study is to identify academic research trends in the field of dance philosophy in Korea before and after COVID-19. For the analysis, keyword analysis and TF-IDF analysis were conducted using text mining and topic modeling analysis techniques using Textome 5.0. In addition, the LDA model was applied to derive the coherence score, then the appropriate number of topics was specified, and visualized using pyLDAvis. As a result of the analysis, first, the top 10 major keywords in the before COVID-19 period were extracted as human, body, ideology, value, dance education, movement, expression, life, Korean dance, and diversity, and in the after COVID-19 period, dance, movement, It was extracted into the following categories: body, dance education, humans, technology, life, artificial intelligence, diversity, and ideology. Second, as a result of TF-IDF analysis in the before COVID-19 period, Korean dance, ideology, Korean dance, Dangun myth, body, dance education, choreographer, movement, human, and Heidegger were extracted as major keywords, and in the after COVID-19 period, artificial intelligence, dance, movement, body, dance education, science and technology, life, Seonyoung Kang, humans, and play were extracted. Third, the dance philosophy research topics in the before COVID-19 period were derived as ‘philosophical meaning of dance education’ and ‘diversity of movement education’. On the other hand, the topics of the after COVID-19 period were derived as ‘the untact era and the direction of dance education’ and ‘the philosophical meaning of dance from the perspective of dance anthropology’.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135980277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.547
Jung-Hwan Cho, Boo-Gil Seok
[Purpose] The purpose of this study is to identify the main factors related to the prediction of the number of spectators in Korean professional baseball by using machine learning. [Methods] For the purpose of the study, the daily numbers of spectators for professional baseball from 2017 to 2019 were collected. External factors such as the weather and holidays on the day of the match and the internal situation of the match, such as the away team factor, were input as observation variables. The collected data was analyzed with Python ver 3.6, and the predictive power was cross-validated using three machine learning models: Lasso regression, random forest, and XGboost. [Results] As a result of the analysis, the XGboost model showed the highest predictive power and showed 58.4% accuracy when predicting the number of spectators for the entire KBO league. The most frequently used factor in the entire league was the ‘Date’ factor, and as a single-factor, holidays were the most frequently used in prediction. As for the factors for predicting the total number of spectators by team, the ‘Away team’ factor and the ‘Date’ factor were most frequently used. [Conclusions] Based on the results of this study, it is decided that teams and league will be able to suggest various marketing strategies if the number of spectators is predicted considering the game performance, opponent team, and weather.
【目的】本研究的目的是利用机器学习识别与韩国职业棒球观众人数预测相关的主要因素。【方法】为研究目的，收集2017 - 2019年职业棒球比赛的每日观众人数。输入比赛当天的天气和节假日等外部因素，以及比赛的内部情况，如客场球队因素，作为观察变量。使用Python ver 3.6对收集到的数据进行分析，并使用Lasso回归、随机森林和XGboost三种机器学习模型交叉验证预测能力。[结果]分析结果显示，XGboost模型在预测整个KBO联赛的观众人数时具有最高的预测能力，准确率达到58.4%。整个联盟中最常用的因素是“日期”因素，作为一个单一因素，假期是预测中最常用的因素。至于预测球队总观众人数的因素，“客场球队”因素和“日期”因素是最常用的。[结论]基于本研究的结果，决定球队和联赛将能够提出各种营销策略，如果预测观众的数量，考虑比赛成绩，对手球队和天气。
{"title":"The Development prediction model of Korea Professional Baseball league spectator using machine learning","authors":"Jung-Hwan Cho, Boo-Gil Seok","doi":"10.35159/kjss.2023.10.32.5.547","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.547","url":null,"abstract":"[Purpose] The purpose of this study is to identify the main factors related to the prediction of the number of spectators in Korean professional baseball by using machine learning. [Methods] For the purpose of the study, the daily numbers of spectators for professional baseball from 2017 to 2019 were collected. External factors such as the weather and holidays on the day of the match and the internal situation of the match, such as the away team factor, were input as observation variables. The collected data was analyzed with Python ver 3.6, and the predictive power was cross-validated using three machine learning models: Lasso regression, random forest, and XGboost. [Results] As a result of the analysis, the XGboost model showed the highest predictive power and showed 58.4% accuracy when predicting the number of spectators for the entire KBO league. The most frequently used factor in the entire league was the ‘Date’ factor, and as a single-factor, holidays were the most frequently used in prediction. As for the factors for predicting the total number of spectators by team, the ‘Away team’ factor and the ‘Date’ factor were most frequently used. [Conclusions] Based on the results of this study, it is decided that teams and league will be able to suggest various marketing strategies if the number of spectators is predicted considering the game performance, opponent team, and weather.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136017978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.245
Li-Yan-Ran Zhou, Ji-Yoon Park, Chul-Won Lee
The purpose of this study was to analyze the behavioral intention of Chinese participants to visit the gym by using extended goal-directed behavior model. A total of 401 valid samples were collected and analyzed by using the convenience sampling method. SPSS and AMOS programs were used for frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation path analysis. The results of this study were as follows. First, human and physical service quality significantly affected attitude. Second, attitude, positive anticipatory emotions, negative anticipatory emotions, and perceived behavioral control significantly influenced aspiration. Third, subjective norms did not significantly affect aspirations. Finally, aspiration significantly affected visiting behavioral intention. This study found that service quality, attitude, positive anticipatory emotions, negative anticipatory emotions, and perceived behavioral control were emerged as the main factors in their visit behavior.
{"title":"Analysis of Fitness Center Visit Behavioral Intention among Chinese Residents in Korea by Using Extended Model of Goal-directed Behavior","authors":"Li-Yan-Ran Zhou, Ji-Yoon Park, Chul-Won Lee","doi":"10.35159/kjss.2023.10.32.5.245","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.245","url":null,"abstract":"The purpose of this study was to analyze the behavioral intention of Chinese participants to visit the gym by using extended goal-directed behavior model. A total of 401 valid samples were collected and analyzed by using the convenience sampling method. SPSS and AMOS programs were used for frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equation path analysis. The results of this study were as follows. First, human and physical service quality significantly affected attitude. Second, attitude, positive anticipatory emotions, negative anticipatory emotions, and perceived behavioral control significantly influenced aspiration. Third, subjective norms did not significantly affect aspirations. Finally, aspiration significantly affected visiting behavioral intention. This study found that service quality, attitude, positive anticipatory emotions, negative anticipatory emotions, and perceived behavioral control were emerged as the main factors in their visit behavior.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"132 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.985
Jae-Hyuck Hwang, Yeon-Hee Kim, Sang-Seok Nam, Jeong-Weon Kim
This study aims to confirm the effect of the SMR program, conducted as a warm-up before the Taekwondo training program, on adolescent Poomsae players" lower extremity motor function and FMS score. The subjects were randomly classified into the SMR group(SMRG, 19 people) and the general stretching group(GEG, 19 people). SMRG was performed by applying SMR warm-up exercise for 12 weeks. The collected data were analyzed using repeated two-way ANOVA, paired t-test, and independent t-test. The significance level of all statistical analyses was set at p<.05. The 12-week SMR program improved lower extremity flexibility, lower extremity muscle strength, Y-Balance, Deep Squat, In-line lunge, Active straight leg raise, and total scores in adolescent Poomsae players. However, it is difficult to say that there was a better improvement effect than GEG because there was no significant interaction in the internal and external rotation of the hip joint, muscle strength of the hamstring, in-line lunge, Active Straight height, and total.
{"title":"Effects of 12-weeks SMR Warm-up on The Lower Extremity Motor Function, Functional Movement Screen of Adolescent Poomsae Players","authors":"Jae-Hyuck Hwang, Yeon-Hee Kim, Sang-Seok Nam, Jeong-Weon Kim","doi":"10.35159/kjss.2023.10.32.5.985","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.985","url":null,"abstract":"This study aims to confirm the effect of the SMR program, conducted as a warm-up before the Taekwondo training program, on adolescent Poomsae players\" lower extremity motor function and FMS score. The subjects were randomly classified into the SMR group(SMRG, 19 people) and the general stretching group(GEG, 19 people). SMRG was performed by applying SMR warm-up exercise for 12 weeks. The collected data were analyzed using repeated two-way ANOVA, paired t-test, and independent t-test. The significance level of all statistical analyses was set at p<.05. The 12-week SMR program improved lower extremity flexibility, lower extremity muscle strength, Y-Balance, Deep Squat, In-line lunge, Active straight leg raise, and total scores in adolescent Poomsae players. However, it is difficult to say that there was a better improvement effect than GEG because there was no significant interaction in the internal and external rotation of the hip joint, muscle strength of the hamstring, in-line lunge, Active Straight height, and total.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.147
Ryu Seok, Jeong-Hyeon Kwak
This study examined the recent surge in e-sports awareness and aimed to explore the direction of e-sports in the era of the 4th Industrial Revolution and the non-face-to-face era. To achieve the purpose of the study, data from April 17, 2017 to August 25, 2023, when e-sports was adopted for the Asian Games, were collected, and text mining analysis was conducted with the collected data to obtain the following results. First, the frequency analysis of frequent words was analyzed in the order of sports, competitions, games, League of Legends (LOL), hosting, Korea, games, amateurs, athletes, and sports competitions. Second, the keywords with the highest TF-IDF weight were competitions, sports, League of Legends (LOL), games, Korea, hosting, games, amateurs, sports competitions, and athletes. Third, N-gram analysis showed that sports and competitions, Hanwha Life and Sports, and League of Legends were highly related, while amateurs and sports, sports and festivals, and national teams were highly related. Fourth, Kim Young-man, Faker(Lee, Sang-hyuk), John(Riot), Jeka, and Park, Hyung-joon appeared as individuals, followed by Gwangju Citizens
{"title":"Exploring the Current Status and Direction of e-sports using Big Data Analysis","authors":"Ryu Seok, Jeong-Hyeon Kwak","doi":"10.35159/kjss.2023.10.32.5.147","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.147","url":null,"abstract":"This study examined the recent surge in e-sports awareness and aimed to explore the direction of e-sports in the era of the 4th Industrial Revolution and the non-face-to-face era. To achieve the purpose of the study, data from April 17, 2017 to August 25, 2023, when e-sports was adopted for the Asian Games, were collected, and text mining analysis was conducted with the collected data to obtain the following results. First, the frequency analysis of frequent words was analyzed in the order of sports, competitions, games, League of Legends (LOL), hosting, Korea, games, amateurs, athletes, and sports competitions. Second, the keywords with the highest TF-IDF weight were competitions, sports, League of Legends (LOL), games, Korea, hosting, games, amateurs, sports competitions, and athletes. Third, N-gram analysis showed that sports and competitions, Hanwha Life and Sports, and League of Legends were highly related, while amateurs and sports, sports and festivals, and national teams were highly related. Fourth, Kim Young-man, Faker(Lee, Sang-hyuk), John(Riot), Jeka, and Park, Hyung-joon appeared as individuals, followed by Gwangju Citizens","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.483
Yong-Seok Jang
This study aims to analyze keywords, emotions, and perceptions of sports animation through social big data analysis. As a research method, text mining, opinion mining, and semantic network analysis were conducted using Textome, a social matrix big data platform. The research results are as follows. First, as a result of word frequency, TF-IDF, and connection centrality analysis, the keywords first, slam dunk, movie, Japan, release, comic book, animation, sales, box office, and audience all appeared in the top 10, confirming that they are key keywords. Second, as a result of opinion mining analysis, positive words (76.38%) appeared and negative words (23.61%), indicating that there are many positive keywords. Third, as a result of the CONCOR analysis, two groups were formed: ‘sports animation contents’ and ‘sports animation products’.
{"title":"A study on the Success of Sports Animation using Social Big data analysis: Focusing on the Slam Dunk Syndrome","authors":"Yong-Seok Jang","doi":"10.35159/kjss.2023.10.32.5.483","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.483","url":null,"abstract":"This study aims to analyze keywords, emotions, and perceptions of sports animation through social big data analysis. As a research method, text mining, opinion mining, and semantic network analysis were conducted using Textome, a social matrix big data platform. The research results are as follows. First, as a result of word frequency, TF-IDF, and connection centrality analysis, the keywords first, slam dunk, movie, Japan, release, comic book, animation, sales, box office, and audience all appeared in the top 10, confirming that they are key keywords. Second, as a result of opinion mining analysis, positive words (76.38%) appeared and negative words (23.61%), indicating that there are many positive keywords. Third, as a result of the CONCOR analysis, two groups were formed: ‘sports animation contents’ and ‘sports animation products’.","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"171 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.35159/kjss.2023.10.32.5.79
ligang Feng, Jung-Wook Yoon
This study used the structural equation modeling analysis to investigate the structural relationships between the motivational factors, engagement in sports, physical sensations, and quality of life among amateur badminton players in China. The study participants were from five regions in China: East, South, West, North, and Central. A total of 890 questionnaires were distributed, and after excluding erroneously answered questionnaires, 868 responses were used for the final analysis. Data processing was conducted using SPSS and AMOS software for reliability analysis, frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and multiple regression analysis. As a result, first, there was a significant correlation between participation motivation and exercise commitment. Second, there was a significant correlation between participation motivation and physical self-efficacy. Third, there was a significant correlation between participation motivation and quality of life. Fourth, there was a significant correlation between exercise commitment and physical self-efficacy. Fifth, there was a significant correlation between exercise commitment and quality of life. Sixth, there was a significant correlation between physical self-efficacy and quality of life. In conclusion, it was found that participants
{"title":"The Relationship between Participation Motivation, Exercise Commitment, Physical Self-Efficacy and Quality of Life of Chinese Amateur Badminton Participants","authors":"ligang Feng, Jung-Wook Yoon","doi":"10.35159/kjss.2023.10.32.5.79","DOIUrl":"https://doi.org/10.35159/kjss.2023.10.32.5.79","url":null,"abstract":"This study used the structural equation modeling analysis to investigate the structural relationships between the motivational factors, engagement in sports, physical sensations, and quality of life among amateur badminton players in China. The study participants were from five regions in China: East, South, West, North, and Central. A total of 890 questionnaires were distributed, and after excluding erroneously answered questionnaires, 868 responses were used for the final analysis. Data processing was conducted using SPSS and AMOS software for reliability analysis, frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and multiple regression analysis. As a result, first, there was a significant correlation between participation motivation and exercise commitment. Second, there was a significant correlation between participation motivation and physical self-efficacy. Third, there was a significant correlation between participation motivation and quality of life. Fourth, there was a significant correlation between exercise commitment and physical self-efficacy. Fifth, there was a significant correlation between exercise commitment and quality of life. Sixth, there was a significant correlation between physical self-efficacy and quality of life. In conclusion, it was found that participants","PeriodicalId":497986,"journal":{"name":"The Korean Society of Sports Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：