ISSN : 0974-7435 Volume 10 Issue 3 Chnese and foregn men s decathlon performance comparson and structural factor correlaton test based on SPSS regresson model Pengfe Zhang*, Jngjng Lu Insttute of Physcal Educaton, Baoshan Unversty, Baoshan 678000, Yunnan, (CHINA) BTAIJ, 10(3), 2014 [441-449] ABSTRACT By consultng lots of documents, adopt grey correlaton analyss and factor analyss to make research on Chnese and foregn decathlon athletes total performances and each sngle tem performance nternal relatons and athletes performance nternal structure, and do comparatve analyss, fnd out Chnese athletes and world level athletes performance man gaps, whch provdes certan theoretcal bass for Chnese men s decathlon tranng plan desgnng, athletes scentfc selecton and athletcs development. Rey correlaton analyss result shows that Chnese athletes each sngle tem to total performance nfluences ranked by correlaton degree as 110m hurdle>100m>long jump>400m> hgh jump> pole vault>shot put> javeln throw> dscus throw>1500m; and world rank as: 110m hurdle> long jump>100m>400m>pole vault>hgh jump>javeln throw>shot put>dscus throw>1500m. It s clear that domestc athletes stll keep larger some paces wth foregn excellent athletes by comparng n hgher specal technque requrement pole vault and javeln throw the two events; factor analyss result shows that durng Chnese and foregn excellent athletes performance structures, 100m,400m, 110m hurdle the three sngle tems take largest effects, they can be called as speed, explosve power factor; dscus throw, javeln throw and shot put the three tems take the secondary effects, whch can be called as strength factors; hgh jump effects are the thrd ones, whch can be called as smart factor. All the four factors are related to speed qualty, thereupon t reveals that men s decathlon s core featured wth speed. 2014 Trade Scence Inc. - INDIA KEYWORDS Grey correlaton analyss,factor analyss, regresson model, decathlon INTRODUCTION Wth Olympc Games as well as other major sportng events successful hostng n Chna, Chnese sports have come a long way, but athletcs backward level stll s the key factor that restrcts Chnese sports compettve levels mprovng, especally for athletcs events decathlon compettve level and world athletcs level generate huge dfferences, and accordng to data analyss, though Chnese decathlon athletes catch up wth and surpass world advanced level n short term s stll a longterm objectve, only f we can correctly fnd out Chnese decathlon backward nternal causes, make mprovement, learn from each other strong ponts to make up for shortcomngs, acheve leadng poston n Asa durng short-term can be completely realzed.
442 Chnese and foregn men s decathlon performance comparson and structurall BTAIJ, 10(3) 2014 The one gets athletcs gets the world such words explan athletcs mportant role n sports compettve court, men s decathlon s always named as the kng of athletcs, whle someone call t as ronman competton event. Athletcs men s decathlon has been formally set up n the 5 th Olympc Games n 1912, untl now the event settng hasn t changed, whch s composed of 100m, long jump, shot put, hgh jump, 400m, 110m hurdle, dscus throw, pole vault, javeln throw and 1500m. Usually factor analyss generated factors can fnally acheve namng explanatory by all knds of ways. Factors namng soluton to each sngle tem, t s mpossble to arrve at completely balance, system and thngs are composed of multple factors, mbalanced development and dynamc changes among factors decde complex n predcton of system and thngs. Based on that, ths paper accordng to Chnese and foregn 28 excellent allround athletes competton performance, adopts SPSS software respectvely makng factor analyss and establshng every sngle tem performance and total performance multple lnear regresson predcton model, n the hope of better explorng decathlon nternal elements structures and project rules features. CHINESE AND FOREIGN MEN S DECATH- LON TOTAL PERFORMANCES AND EACH SINGLE ITEM PERFORMANCES INTER- NAL RELATIONS GREY CORRELATION ANALYSIS By collected the 11 th natonal games data, select Chnese and world top 14 excellent men s decathlon athletes as research objects, ther performance total scores and each sngle tem score as followng TABLE 1, TABLE 2 show, t bascally represents Chnese and foregn men s decathlon top level. Accordng to grey system theory, t can regard decathlon as a grey system, and make grey correlaton analyss of selected research objects performance. By correlaton degree analyss, t s clear that every sngle tem performance effects on total performance as well as ts poston n all-round tranng. TABLE 1: Chnese 14 excellent men s decathlon athletes each sngle tem performance and total performance By observng TABLE 1, TABLE 2, t s clear that athletes each sngle tem performance and total performance has the same dmenson, t s no need to make dmensonless wth data. Select each athlete total performance x ( ) as reference sequence: 0 k x0 { x0 ( k) k 1,2,, n} { x0 (1), x0 (2),, x0 ( n)} (From whch k represents the k athlete) Select each athlete each sngle tem performance x (k) as comparson sequence: x { x ( k) k 1,2,, n} { x (1), x (2),, x ( n)} (From whch represents the sngle tem) It can get the k athlete comparson sequence x to reference sequence x correlaton coeffcent: 0 mn mn x0 (t) xs (t) max max x0 (t) xs (t) s t s t (k) x (k) x (k) max max x (t) x (t) (1) 0 0 s s t Among them, [ 0,1 ] s resoluton coeffcent. It s called formula (1) mn mnx 0( t ) x ( t ) as two-level mnmum dfference, s t s max maxx 0( t ) x ( t ) two-level maxmum dfference. Generally speakng, the bgger resoluton coeffcent s, the bgger resoluton rate would be; the smaller s, the smaller resoluton rate would be. Formula (1) defned correlaton coeffcents data turn to be excessve dspersve not convenent to compare, therefore t can adopt average correlaton degree to make comparson. r n k 1 (k) n ( s t r s sequence x to reference sequence x 0 correlaton degree) (2) Accordng to Chnese and world excellent men s decathlon athletes sports performance data table n 2012 (TABLE 1, TABLE 2) data, apply MATLAB software programmng calculaton, t gets Chnese and world excellent athletes all-round performances and each sngle tem ones correlaton degree as followng TABLE 3, TABLE 4 show: s
BTAIJ, 10(3) 2014 Pengfe Zhang and Jngjng Lu 443 TABLE 1 : Chnese 14 excellent men s decathlon athletes each sngle tem performance and total performance Rank Athlete 1500m Javeln throw Pole vault 110m hurdle 100m 400m Shot put Hgh jump Long jump Dscus throw Total performance 1 Q Ha-Feng 643 752 761 872 893 849 699 804 906 769 7946 2 Yu Bng 594 772 674 888 895 813 744 723 942 754 7798 3 Zhu Heng-Jun 601 705 761 944 929 874 711 697 855 636 7712 4 Lu Ha-Bo 640 669 618 832 785 779 673 916 809 713 7433 5 Hao Mng 605 546 820 844 800 747 720 832 772 692 7376 6 Wang Jan-Bo 522 743 731 836 755 709 724 697 835 800 7351 7 Zhao De-Nng 601 680 703 843 835 816 626 645 840 679 7266 8 Lu Huan-Yong 629 658 646 794 800 691 695 887 838 623 7260 9 Guo We-Zhao 616 671 703 850 837 823 659 723 795 556 7233 10 L Ya-Gu 591 585 674 871 806 794 660 723 847 560 7111 11 Ln Qng-Quan 520 799 618 726 811 753 696 697 734 664 7017 12 Yang Wen-Lang 640 702 790 728 768 726 620 645 700 695 7014 13 Tang Jun 561 551 618 934 832 739 539 777 730 485 6766 14 Zhou Bn 590 300 703 807 783 755 484 671 779 456 6327 TABLE 2 : World 14 excellent men s decathlon athletes each sngle tem performance and total performance data table Rank Athlete Country 1500m Javeln throw Pole vault 110m hurdle 100m 400m Shot put Hgh jump Long jump Dscus throw Total performance 1 Ashton Eaton Amerca 721 767 972 1032 1011 963 769 850 1068 716 8869 2 Trey Hardee Amerca 674 838 849 1035 994 904 807 794 942 834 8671 3 Leonel Suarez Cuba 744 996 819 917 801 859 759 906 940 782 8523 4 Hans van Alphen Belgum 795 763 849 863 850 853 819 850 970 835 8447 5 Warner Canada 746 780 819 926 980 899 712 850 945 785 8442 6 Rco Fremuth Germany 695 698 880 989 940 906 782 714 864 852 8320 7 Oleksy Kasyanov Ukrane 721 661 790 963 961 888 756 794 947 802 8283 8 SergeySvrdov Russa 702 865 790 799 910 866 754 794 922 817 8219 9 Kerzen South Afrca 768 810 760 955 841 882 715 850 854 738 8173 10 Pascal Behrenbruch Germany 696 810 819 932 847 813 831 767 850 761 8126 11 Eelco Netherlands 737 720 1004 920 894 868 739 740 903 509 8034 12 Newdck New Zealand 692 735 819 847 838 804 795 767 900 791 7988 13 Barrolhet Chle 629 697 1035 959 821 766 758 850 767 690 7972 14 Gazta Cuba 689 736 790 944 906 873 758 794 755 711 7956 TABLE 3 : Chnese excellent athletes all-round performance and each sngle tem correlaton degree Item 110m hurdle 100m Long jump 400m Hgh jump Correlaton degree 0.9123 0.9106 0.9096 0.9064 0.9037 Rank 1 2 3 4 5 Item Pole vault Shot put Javeln throw Dscus throw 1500m Correlaton degree 0.8998 0.896 0.8951 0.8948 0.8907 Rank 6 7 8 9 10 From TABLE 3, TABLE 4, t s clear that Ch- nese athletes each sngle tem to total performance n-
444 Chnese and foregn men s decathlon performance comparson and structurall BTAIJ, 10(3) 2014 TABLE 4 : World excellent athletes all-round performance and each sngle tem correlaton degree Item 110m hurdle Long jump 100m 400m Pole vault Correlaton degree 0.964 0.9612 0.9611 0.9584 0.9577 Rank 1 2 3 4 5 Item Hgh jump Javeln throw Shot put Dscus throw 1500m Correlaton degree 0.9536 0.9509 0.9503 0.9495 0.9459 Rank 6 7 8 9 10 fluences rank by correlaton degree s: 110m hurdle>100m>long jump>400m> hgh jump> pole vault>shot put> javeln throw> dscus throw>1500m; and world rank s 110m hurdle>long jump>100m>400m>pole vault>hgh jump>javeln throw>shot put>dscus throw>1500m. Compared wth foregn athletes rankng, ten sngle tems 110m hurdle, 400m, dscuss throw and 1500 meters rankng are the same, they respectvely rank n the frst, fourth, nnth and tenth, domestc top three also are long jump, 100m and 110m hurdle but there are dfferences n the rank, these three tems all requre horzontal speed takes absolute advantages; foregn pole vault, javeln throw are respectvely rankng n the front of hgh jump, shot put, whle t s opposte at home. It s clear that domestc athletes stll keep larger some paces wth foregn excellent athletes by comparng n hgher specal technque requrement pole vault and javeln throw the two events, whch shows that Chnese athletes have shortcomngs n hgh speed, quck rhythm techncal motons completon abltes, t should be taken serously by Chnese all-round coaches. CHINESE AND FOREIGN MEN S DECATH- LON PERFORMANCE FACTOR ANALYSIS To athletes, t s mpossble to acheve each tem fully balance. Due to connectons exst among tems, and each tem development status decdes athletes total performances, the model accordng to statstcal prncple and method, use SPSS19 statstcs software makng statstcs and handlng wth 28 Chnese and foregn men s decathlon athletes sports performances and each sngle tem performance, and makes research on each large type tem level to total performance effect. Correlaton coeffcent matrx test The model adopts KMO test to make factor analyss ftness testng, nput TABLE 1, TABLE 2 data nto SPSS software, runnng, and then gets as followng TABLE 5: From TABLE 5, t s clear that KMO test result s 0.765 that above 0.5 ndcates data wth poor partal correlaton and t s ft for factor analyss. Bartlett Value=173.277, P<0.001, shows that correlaton matrx s not a unt matrx; t can carry out factor analyss. Factor analyss Extract prncpal component Frst t should convert every varable value nto standard value. In prncple, the number of factors s the same as that of orgnal varables, but after extractng man factors, f rest varance s qute small, t can abandon other factors so as to acheve the purpose of smplfyng data. The model sets 10 tems as varable, n order, 1500m, javeln throw, pole vault, 110m hurdle, 100m,400m, shot put, hgh jump, long jump, dscus throw. Regard athlete total performance as sample observaton value, apply SPSS to make factor analyss, t can get as followng TABLE 6: From TABLE 6, t s clear accordng to professonal knowledge judgment, t selects four prncpal components. The four prncpal components accumulaton contrbuton rate arrves at 84. 359% that above 80 %, therefore, t can be thought that the four TABLE 5 : KMO and bartlett test Samplng suffcent degrees Kaser-Meyer-Olkn measurement. Bartlett sphercty degree test.765 approxmate to ch-square 173.277 df 45 Sg..000
BTAIJ, 10(3) 2014 Pengfe Zhang and Jngjng Lu 445 Component Component prncpal components loaded sports sngle tem s decathlon athletes scorng uppermost tem. Factor rotaton TABLE 6 : Each tem varance and accumulaton contrbuton rate Intal feature value Generally, after extractng ntal factors, t cannot make effectve explanaton on factors. At ths tme, t tends to requre makng factor rotaton (rotaton); t makes factor soluton sgnfcance more easly to explan by coordnate transformaton. The purpose of axs rotaton s to change subjects szes n each factor load; when rotatng axs, t adjusts each factor load szes accordng to subjects and factors structural relatons close level; after axs rotatng, let varable every factor load get bgger (close to 1) or smaller (close to 0), whch s dfferent from the status that each factor has almost same load before axs rotatng, t lets common factors namng Explanatory total varance Extract squaresum and load n Total Varance % Accumulaton % Total Varance % Accumulaton % 1 5.333 53.332 53.332 5.333 53.332 53.332 2 1.446 14.457 67.789 1.446 14.457 67.789 3.927 9.274 77.063.927 9.274 77.063 4.730 7.297 84.359.730 7.297 84.359 5.502 5.025 89.384 6.363 3.627 93.011 7.301 3.012 96.023 8.183 1.826 97.850 9.151 1.509 99.359 10.064.641 100.000 TABLE 7 : Explanatory total varance Rotatonal square sum load n Total Varance % Accumulaton % 1 3.083 30.826 30.826 2 2.582 25.820 56.646 3 1.391 13.913 70.558 4 1.380 13.801 84.359 5 6 7 8 9 10 TABLE 8 : Factor load after rotaton Rotatonal component matrx a Component 1 2 3 4 100m.917.192 -.028.139 400m.882.268.106.217 110m hurdle.742.009.187.406 Long jump.706.417.279.026 Dscus throw.186.880.107.064 Javeln throw.169.856.165.051 Shot put.250.784.179.403 Hgh jump.080.186.947.058 1500m.446.327.539.393 Pole vault.292.184.092.906 Extract method: Prncpal component; Rotaton method: Kaser standardzed orthogonal rotaton method.; a. Rotaton convergent after 5 tmes teraton and explanatory varables get more easly. After axs rotatng, every common factor feature value wll change but every varable commonalty wll not change. Extracted each prncpal component accumulaton contrbuton rate after factor rotaton s as followng TABLE 7: From TABLE 7, t s clear that extracted each prncpal component accumulaton rate after factor rotaton doesn t change and stll s 84. 359%, but feature values tend to concentrate and values all above 1. By orthogonal varmax rotaton, after 5 tmes rotatng, t gets as followng TABLE 8:
446 Chnese and foregn men s decathlon performance comparson and structurall BTAIJ, 10(3) 2014 Model R R Square From TABLE 8, t s clear the frst prncpal component larger load varables are 100m, 400m, 110m hurdle, and long jump. Second prncpal component larger load varables are dscus throw, javeln throw, and shot put. The thrd prncpal component larger load varable s hgh jump. The fourth prncpal component larger load varable s pole vault. Factor analyss result TABLE 9 : Model Summary b Adjusted R Square Std. Error of the Estmate 1.995 a.991.986 78.31389 a. Predctors: (Constant), dscus throw, 110m hurdle, hgh jump, pole vault, long jump, javeln throw, 1500m, 100m, shot put, 400m; b. Dependent Varable: total performance Model TABLE 10 : ANOVA b Sum of Squares df Mean Square a. Predctors: (Constant), dscus throw, 110m hurdle, hgh jump, pole vault, long jump, javeln throw, 1500m, 100m, shot put, 400m; b. Dependent Varable: total performance F Sg. Regresson 1.135E7 10 1134536.674 184.987.000 a 1 Resdual 104262.120 17 6133.066 Total 1.145E7 27 From factor analyss result, t s clear that durng Chnese and foregn excellent athletes performance structures, 100m, 400m, 110m hurdle the three sngle tems take largest effects, they can be called as speed, explosve power factor; dscus throw, javeln throw and shot put the three tems take the secondary effects, whch can be called as strength factors; hgh jump effects are the thrd ones, whch can be called as smart factor; the mnmum effects tem s 1500m, t can be called as speed endurance factor. The four factors structure can explan that Chnese and foregn excellent athletes stll focus on absolute speed tranng durng tranng; dscus throw, javeln throw and shot put that rank n the second factors not only requre athletes have suffcent guarantee n absolute strength, but also they have hgh correlatons wth ndvdual speed qualty, though they are not remarkable n scorng contrbuton rate aspect throwng type events by comparng wth other types events, under present all-round sport gudng thought of balanced development, elmnate weak events, the type factor effects are self-evdent; only hgh jump one tem ranks n the thrd factor, due to hgh jump s power generated by horzontal speed and vertcal speed common functons mutual transformaton, meanwhle t also has specal requrements on athletes body shape, specally classfes t as one type; n speed endurance factor, t smlarly has requrements on athletes body shape that are dfferent from the frst, second factor requrements, but the four types of factors always correlated to speed qualty, therefore, men s decathlon wth the core speed conforms to current development trend. To men s decathlon athletes, they should comprehensve develop each tem physcal qualty, especally for speed, strength and technque, and n future tranng, t should focus on strengthen techncal aspect tranng on the bass of speed, strength consoldaton. MULTIPLE REGRESSION PREDICTION MODEL Gven all-round tems 10 sngle tem performances are ndependent varables, total performance s dependent varables. Adopt enter ndependent together to make lnear regresson, apply SPSS software handlng Model TABLE 11 : Coeffcents a Unstandardzed Coeffcents Standardzed Coeffcents B Std. Error Beta t Sg. (Constant) -298.001 232.235-1.283.217 1500m 1.396.433.155 3.225.005 Javeln throw 1.134.200.216 5.677.000 Pole vault 1.074.211.180 5.091.000 110m hurdle.837.339.102 2.472.024 1 100m 1.962.482.214 4.066.001 400m.355.676.037.525.606 Shot put.363.407.044.890.386 Hgh jump 1.158.278.137 4.160.001 Long jump.948.282.125 3.366.004 Dscus throw 1.170.230.196 5.088.000 a. Dependent Varable: Total performance
BTAIJ, 10(3) 2014 Pengfe Zhang and Jngjng Lu 447 wth TABLE 1, t can get as followng TABLE 9, TABLE 10 and TABLE 11: TABLE 9 s model s goodness of ft test; from table t s clear that both square coeffcent and after adjustng square coeffcent arrve at above 0.99 that shows model has hgh fttng goodness. TABLE 10 s model varance test, from table, t s clear that F 184. 987, sgnfcance correlaton probablty s a 0. 000, whch turns sgnfcant dfferences. TABLE 11 s regresson calculaton process each equaton coeffcent table, from table, t s clear that t Test shows sgnfcant level. Accordng to TABLE 11, t can get relatve each tem all-round non-standard regresson model: Y 298.001 1.396 X 1.134 X 1.074 X 0.837 X 1.962 X 0.355 X 0.363 X 1.158 X 0.948 X 1.170 X TABLE 12 : Compare predcted value wth actual value Accuracy rate average value 0.939343758 7 8 1 9 2 X1 X 10 are ndependent varables, whch respectvely correspondng represents 1500m, javeln throw, pole vault, 110m hurdle, 100m, 400m, shot put, hgh jump, long jump, dscus throw each tem performance;y s dependent varable, t represents decathlon total performance) Name Predcted total performance Actual total performance Predcton accuracy rate Q Ha-Feng 7902.37434 7,941.00 0.99513592 Yu Bng 7833.507706 7,791.00 0.994543999 Zhu Heng-Jun 7843.854998 7,708.00 0.982374806 Lu Ha-Bo 7898.012259 7,427.00 0.936581088 Hao Mng 7849.591999 7,370.00 0.934926459 Wang Jan-Bo 7733.213342 7,346.00 0.947289226 Zhao De-Nng 7843.356905 7,261.00 0.919796598 Lu Huan-Yong 7882.3557 7,256.00 0.91367755 Guo We-Zhao 7864.222777 7,230.00 0.912279007 L Ya-Gu 7830.45619 7,106.00 0.898050072 Ln Qng-Quan 7730.492957 7,012.00 0.897533805 Yang Wen-Lang 7898.52487 7,009.00 0.873088191 Tang Jun 7788.761997 6,761.00 0.847986689 Zhou Bn 7829.138226 6,323.00 0.761800059 Ashton Eaton 8011.43 8,869.00 0.903307024 Trey Hardee 7945.818 8,671.00 0.91636697 Leonel Suarez 8043.538 8,523.00 0.943744925 Hans van Alphen 8114.734 8,447.00 0.960664615 Warner 8046.33 8,842.00 0.910012441 Rco Fremuth 7975.134 8,320.00 0.95854976 Oleksy Kasyanov 8011.43 8,283.00 0.96721357 SergeySvrdov 7984.906 8,219.00 0.971517946 Kerzen 8077.042 8,173.00 0.988259146 Pascal Behrenbruch 7976.53 8,126.00 0.981605956 EelcoSntncolaas 8033.766 8,034.00 0.999970874 Newdck 7970.946 7,988.00 0.997865048 Barrolhet 7882.998 7,972.00 0.988835675 Gazta 7966.758 7,956.00 0.998647813 10 3 4 5 6
448 Chnese and foregn men s decathlon performance comparson and structurall BTAIJ, 10(3) 2014 Input Chnese and foregn excellent all-round athletes each sngle tem performance nto predcton model, t gets predcton total performance, and make comparson between predcted value and actual value. It can get as followng TABLE 12: From TABLE 12, t s clear that model predcton accuracy average value s 0.9393; therefore model predcton accuracy s very hgh. The predcton equaton completely can predct Chnese and foregn excellent decathlon athletes total performance. CONCLUSIONS Grey theory correlaton analyss method s scentfc reasonable, easy, especally n multple factors, multple levels comprehensve research analyss, accordng to correlaton degree szes, t can further fnd out Chnese and foregn gap, meanwhle t can provde relable and feasble evdence and reference for mprovng and promotng Chnese decathlon even to other sports levels. Rey correlaton analyss result shows that Chnese athletes each sngle tem to total performance nfluences rank by correlaton degree s: 110m hurdle>100m>long jump>400m> hgh jump> pole vault>shot put> javeln throw> dscus throw>1500m; and world rank s 110m hurdle>long jump>100m>400m>pole vault>hgh jump>javeln throw>shot put>dscus throw>1500m. Compared wth foregn athletes rankng, ten sngle tems 110m hurdle, 400m, dscuss throw and 1500 meters rankng are the same, they respectvely rank n the frst, fourth, nnth and tenth, domestc top three also are long jump, 100m and 110m hurdle but there are dfferences n the rank, these three tems all requre horzontal speed takes absolute advantages; foregn pole vault, javeln throw are respectvely rankng n the front of hgh jump, shot put, whle t s opposte at home. It s clear that domestc athletes stll keep larger some paces wth foregn excellent athletes by comparng n hgher specal technque requrement pole vault and javeln throw the two events, whch shows that Chnese athletes have shortcomngs n hgh speed, quck rhythm techncal motons completon abltes, t should be taken serously by Chnese all-round coaches. It suggests that Chnese coaches further strengthen athletes physcal tranng, further mprove athletes contnuous game abltes, let athletes each sub tem performance get coordnate and balanced development. From factor analyss result, t s clear that durng Chnese and foregn excellent athletes performance structures, 100m, 400m, 110m hurdle the three sngle tems take largest effects, they can be called as speed, explosve power factor; dscus throw, javeln throw and shot put the three tems take the secondary effects, whch can be called as strength factors; hgh jump effects are the thrd ones, whch can be called as smart factor; the mnmum effects tem s 1500m, t can be called as speed endurance factor. The four factors structure can explan that Chnese and foregn excellent athletes stll focus on absolute speed tranng durng tranng; dscus throw, javeln throw and shot put that rank n the second factors not only requre athletes have suffcent guarantee n absolute strength, but also they have hgh correlatons wth ndvdual speed qualty, though they are not remarkable n scorng contrbuton rate aspect throwng type events by comparng wth other types events, under present all-round sport gudng thought of balanced development, elmnate weak events, the type factor effects are self-evdent; only hgh jump one tem ranks n the thrd factor, due to hgh jump s power generated by horzontal speed and vertcal speed common functons mutual transformaton, meanwhle t also has specal requrements on athletes body shape, specally classfes t as one type; n speed endurance factor, t smlarly has requrements on athletes body shape that are dfferent from the frst, second factor requrements, but the four types of factors always correlated to speed qualty, therefore, men s decathlon wth the core speed conforms to current development trend. All-round sports tranng s a long-term and complcated work, t asks hgh for athletes physcal ablty and contnuous game ablty. Coaches should be good at learnng, summarzng experences, apply advanced tranng methods and ways nto scentfc tranng, strengthen theoretcal learnng, update deals, correctly learn themselves status and athletes themselves tranng features, further mprove athletes contnuous game abltes, let athletes each sub tem performance get coordnate and balanced development. Strengthen coaches mutual exchangng, go abroad to learn foregn advanced tranng methods, desgn reasonable and effectve tranng method by combnng wth Chnese athletes them-
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