An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc.

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1 [Type tet] [Type tet] [Type tet] ISSN : Volue 10 Issue 8 BioTechnology 014 An Indian Journal FULL PAPER BTAIJ, 10(8), 014 [714-71] Factor analysis-based Chinese universities aerobics sustainable developent research Jin Chen Institute of Physical Education, Saning University, Saning , Fuian, (CHINA) ABSTRACT Copetitive sports copetitions aerobics otions are elegant and artistic, and well received by national people; it has been rapidly developed and gradually popularized in Chinese universities capuses. Targeted at Chinese universities aerobics developent factor University students in school satisfaction with universities aerobics developent, Aerobics athletes training ties, Aerobics athletes duration per one training, Aerobics athletes age, Aerobics coaches age, Aerobics coaches education bacground, it aes factor analysis and gets aerobics developent ainly rely on aerobics coaches and aerobics athletes theselves such two factors. Only the two are well utually adusted then can let Chinese aerobics to be better developed. KEYWORDS Factor analysis; Statistical analysis; Aerobics; Physiological indicator; Copetitive sports. Trade Science Inc.

2 BTAIJ, 10(8) 014 Jin Chen 715 INTRODUCTION In copetitive sports gaes, aerobics is introduced to China in 80s of 0 th century, due to aerobics otions are elegant and artistic, is well received by national people, it has been rapidly developed and gradually popularized in Chinese universities capuses. By far, aerobics has already becoe an iportant part in Chinese soe universities capus cultures. In recent years, with copetitive sports developent and university sports constantly infusion, let Chinese soe universities copetitive aerobics to arrive at international advanced level, any universities delegations perforances are outstanding, they have achieved ecellent results in any international big sports events. These proud perforances achieveent is fro Chinese universities copetitive sports developent and university students constant efforts, it reserves lots of ecellent reserve talents for Chinese copetitive aerobics tea, with respect to this, and we suarize Chinese universities copetitive sports stage developent obective, its result is as TABLE 1. TABLE 1 : Chinese universities copetitive sports stage developent obective Obective tie liit (years) Obective contents On the basis of full investigation, identify and analyze Chinese universities copetitive sports developent decisive ain factors, construct Chinese universities copetitive sports developent obective syste. Under new obective syste, ae coprehensive reorganization and reconstruction on Chinese universities copetitive sports, preliinarily for a set of new operation syste Continue to epand Chinese universities copetitive sports scale, for ultiple hierarchies, ultiple grades copetition syste, gradually epand Chinese university copetitive sports aret range, and enhance coercialization and socialization levels. Chinese universities copetitive sports copetition, scale, aret, regulations basically for, and sports level corresponding iproves, and for into good oentu of sustainable developent. Planning obectives Construct new period universities copetitive sports developent obectives to adapt to socialis aret econoy syste, carry on syste and echanis reforation, establish new copetitive syste that is fit for new obectives, let Chinese universities copetitive sports each aspect level to be prooted. Perfect Chinese universities copetitive sports each institutions, for into universities copetitive sports copetition syste with Chinese characteristics, let Chinese universities copetitive sports level overall to be prooted, and be able to eet deands of education, sports, social each aspect on university copetitive sports. Along with Chinese copetitive sports syste reforation constantly developent and deepening, copetitive sports and universities aerobics tea organic cobine that lets China s ipleentation of national fitness, national sports to be well carried on. With respect to this, we carry on factor analysis of Chinese universities aerobics status. EVALUATION MODEL ESTABLISHMENTS Main way of factor analysis is reducing diension of variables, which is recobining original any variables with correlation into a group of uncorrelated variables to replace original variables and use as one factor. Therefore, we can pay attention to every tie observation s variables that have aiu variation, to every tie observation s sall changed variables that can be used as constant to process and get rid of the, so that it reduces variables nuber in proble that needs to be considered. Assue that there is pieces of original indicators to do factor analysis, which are recorded as,, 1 L,, now it has n pieces of saples, corresponding observation value is i ( i = 1,, L, n), and = 1,, L, taes standardization transforation, and then transfor into, that:

3 716 Factor analysis-based Chinese universities aerobics sustainable developent research BTAIJ, 10(8) 014 =, = 1,, L, (1) s Aong the, and s are respectively average nuber and standard deviation, average nuber is 0, standard deviation is 1. According to each saple original indicator observation value i or after standardization observation value i, it solves coefficientb, establish indicator that is transfored through standardization to epress coprehensive indicator z equation z equation that uses original indicator to epress coprehensive indicator z : = b, which can also establish ~ z = b + a () There are two requireents on defining b : Coprehensive indicators are utual independent fro each other or uncorrelated. Every coprehensive indicator reflected each saple gross inforation content is equal to corresponding feature vector (coprehensive indicator coefficient)feature values. In general, it is required that selected coprehensive indicator feature vales contribution ratios su to be above80%. Factor analysis general steps (1) According to observed data, calculate and s (, = 1,, L, ). () By correlation coefficient atri R, it can get feature value λ ( = 1,, L,) and each factor variance contribution contribution ratio and accuulative contribution ratio, and define factor reserved nuber p with accuulative contribution ratio as evidence. pieces of basic equations are as following: () () () () r111 + r1 + L + r1 = λ 1 () () () ( ) r11 r L r = λ L () () () r11 + r + L + r = λ () (3) Aong the, = 1,, L,. ( ) Proceed with Schidt orthogonalization, for every λ i, solve its basic equations solution 1, ( ),, = 1,, L,, and then let: = ( ) ( ) () ( ) () b (4) It can get 1,,, epressed factor z, epressed factor z = b + a. ~ = b, or input = s and then get 1,,

4 BTAIJ, 10(8) 014 Jin Chen 717 (4) Input 1,,, observed values into factor epressions, calculate each coponent value. Calculate original indicator and factor correlation coefficient that is also factor loading that use it to eplain factor significances. And go ahead with net step odel establishents analysis. Correlation indicator each factor analysis Here, we discuss fro 40 universities aerobics universities students satisfaction, coaches age structure, athletes techniques grades, athletes ages, fields facilities status, school funding for aerobics, coaches education bacground and titles, athletes sports training years, training results testing factors, training otivations, training ties and teporal distribution. Forty universities that are taen questionnaire survey, their naes are as TABLE. TABLE : Research obects sapling universities nae list No. School No. School No. School 1 Tsinghua University 15 Northwest University 8 Zheiang University of Technology Peing University 16 Xi an Jiao tong University Beiing University of Posts and 9 Telecounications 3 Beiing Institute of Technology 17 Northwestern Industrial University 30 Jiangsu University 4 Beihang University 18 Chang an University China University of Mining and 31 Technology 5 University of Science and Huazhong University of Science and 19 Qufu Noral University 3 Technology Beiing Technology 6 Jilin University 0 Shandong Noral University 33 Wuhan University of Technology 7 Northeast Noral University 1 Yan tai Noral College 34 Taiyuan Noral College 8 Henan Noral University Southwest Jiaotong Institute 35 Taiyuan University of Technology 9 Zhengzhou University 3 Sichuan Unite University 36 Shan i Noral University 10 Henan University 4 Hunan Noral University 37 Guangi Noral College Changsha University of electronic 11 Zhengzhou Aviation University 5 power 38 Noral College of South China 1 Shanghai University of Chinese Medicine 13 Xi an Petroleu Institute 7 14 Xi an University of Technology 6 Hunan Central South University 39 Guangzhou Zhongshan University Hunan National University of Defense Technology 40 Shantou University (Data source: Liu Hai-Yuan etc. questionnaire survey in Chinese universities copetitive sports developent research ) For universities aerobics satisfaction, we ae statistics; the statistical result is as following TABLE 3. TABLE 3 : University students satisfaction on universities aerobics Satisfaction Selection nuber of people Percentage Great satisfaction % More satisfactory % Yawp % Very dissatisfied % Correspond to above data; it aes blac-white pie chart as Figure 1. Correspond to above analysis, we can get conclusion as following : On a whole, present Chinese universities students are ostly satisfied with universities aerobics tea that occupy 37.1%(Great satisfaction)of totality, 34.88%(More satisfactory)of totality.

5 718 Factor analysis-based Chinese universities aerobics sustainable developent research BTAIJ, 10(8) For universities aerobics coaches age structure, it aes analysis. Statistical result is as TABLE Figure 1 : College students in colleges and universities aerobics satisfaction TABLE 4 : Universities copetitive aerobics sports tea coaches age distribution Age structure Nuber of people Proportion % % % % Above 56 years old % Correspond to above data; it draws blac-white bar chart as Figure shows. Figure : Sports tea coaches age distribution of sports aerobics dancers in college Fro above analysis, it is clear that universities aerobics coaches age distribution are ostly in 31 to 35 years old that occupy half of totality, while no old coaches that are above 56 years old. Then ae analysis of universities aerobics athletes training ties and duration, statistical result is as TABLE 5. Correspond to above data; it draws blac-white bar chart as Figure 3, 4. By above analysis, we can see that universities aerobics athletes training duration concentrates in three to four ties a wee, and every tie training duration concentrates on every one to two hours that respectively occupy 44.00% and 56.80% of totality. For aerobics players age structure, it aes analysis. Its statistical result is as TABLE 6. Correspond to above data, it aes pie chart as Figure5. Fro above analysis, it is clear that aerobics players age distribution concentrates on years old that occupy 36.8% of totality. Finally targeted at coaches education bacground, titles status, it aes analysis; its statistical result is as TABLE 7. Correspond to above data, it aes Two aes bar chart as Figure6.

6 BTAIJ, 10(8) 014 Jin Chen 719 TABLE 5 : Universities aerobics athletes training ties and duration analysis statistical result Training ties and duration Nuber of people Proportion Twice per wee and below % Third to four ties per wee 55 44% Five to si ties per wee % Seven to eight ties per wee 9 7.0% Above nine ties per wee 5 4% Su total % Every one hour at a tie 9 3.0% Every one to two hours % Every two to three hours % Every three to four hours % More than four hours at a tie 4 3.0% Su total % Figure 3 : The nuber of colleges and universities aerobics athlete training Figure 4 : Colleges and universities aerobics athlete training tie TABLE 6 : Universities aerobics tea players age distribution Age structure Nuber of people Percentage Below 0 years old 17.60% 1 years old 35 8% years old % 3years old % Above 4years old % By above analysis, it is clear that aerobics coaches education bacground is ostly aster that occupies 7.7% of totality, and aerobics coaches titles are ostly lectures that occupy 7.7% of totality.

7 70 Factor analysis-based Chinese universities aerobics sustainable developent research BTAIJ, 10(8) 014 Figure 5 : The age distribution of colleges and universities aerobics sports teas players TABLE 7: Aerobics coaches education bacground, titles distribution status Education bacground status Junior college Undergraduate course Master Doctor Nuber of people Percentage 0.73% 7.7% 0 Titles status Assistant Lecturerr Associate professor Professor Nuber Percentage of people % % % % Figure 6 : Aerobics degreee distribution, the title of the coaches Result analysis By above each factor statistical analysis, and then carry on analysis of universities students in school satisfaction on universities aerobics developent, aerobics athletes training ties, aerobics event duration per one tie training, aerobics athletes age, aerobics coaches age, coaches education bacground, and get their factor scree plot as Figure 7. Figure 7 : Factor of gravel figure

8 BTAIJ, 10(8) 014 Jin Chen 71 By above factor analysis, it can get that universities students in school satisfaction on universities aerobics developent, aerobics athletes training ties, aerobics event duration per one tie training, aerobics athletes age, aerobics coaches age, coaches education bacground ; these factors can be suarized into two ain factors (because there are two larger slope changes in scree plot), one factor is fro aerobics coaches, the other is fro aerobics athletes own factor. CONCLUSION Chinese universities copetitive sports developent has gone through soe setbacs, here suarize Chinese universities relative copetitive sports reforation and structural adustent changing status as TABLE 8. In Chinese universities, aerobics taes advantages of national policies reforation and self char to get well developent in Chinese universities. The paper carries on factor analysis of Chinese universities aerobics tea developent influence factors and gets aerobics developent ainly relies on aerobics coaches and aerobics athletes theselves two factors. Only do well in utual adusting of the two then can ove Chinese aerobics to net level. REFERENCES [1] Yang Yunia; Analysis on Difficulty Eleents Coposition of Individual Man in the 1th World Aerobics Chapionship. Journal of Anhui Sports Science, 34(1), 35-37, 40 (013). [] Li Li, Mi Zhongqi, Bi Shiyong; An Analysis on Difficult Moveent in the 11th World Sports Aerobics Chapionships. Journal of Hubei Sports Science, 3(6), , 487 (013). [3] Hu Xiang, Zhou Jian-she, Tan Hui-fang, Shen Rui; Analysis of Difficulty of Moveents in the 00 National Aerobics Chapionship. Journal of Beiing Sport University, 7(), 81-8 (004). [4] Zhang Xiao-long, Wang Jing; Analysis about Main Factors of Ipacts to Enhance China's Sport Aerobics Athletes Technique Level of Basic Pace. Journal of Guangzhou Physical Education Institute, 6(4), (006). [5] Liu Ying, Liu Jian-bing; On the Developent Trend of Aerobic Gynastics fro the 9th Aerobic Gynastics World Chapionship. Journal of Capital College of Physical Education, 19(3), 1-14 (007). [6] Sang Guo-qiang; A Probe into the Disparities between Technical Levels of Copetitive Aerobics of China and General Level of the World. Journal of Beiing Sport University, 7(10), (004). [7] Zhang Xiao-ying, Luo Huang; An Analysis on Difficult Moveent in Men's Individual Event in the 9th World Sports Aerobics Chapionships. Journal of Beiing Sport University, 31(11), (008). [8] Zhang Xiao-ying; An Analysis on Woen's Single Difficulty Moveents of World Top Gynastics Aerobics Copetitions. Journal of Beiing Sport University, 1, (009).