ࡱ>  tvsyz{|}~G :bjbjَ 5@]JJJJ8.Lz n((, [ ] ] ] ] ] ] $ -9^ JJ,  jJl:,[ JJJJ[  ; ,[ ,f< Y/S DIFFERENCES IN SPORT INTERESTS IN FEMALE ADOLESCENTS WITH VARIOUS OCCUPATIONAL CHOICE Franjo Prot1, Ksenija Bosnar1, Jelka Gonik2 and Vedrana Vukmir3 1Faculty of Kinesiology, Zagreb, 2Faculty of Philosophy, Zagreb, 3Nature Science High School Vladimir Prelog, Zagreb, Croatia Abstract On the sample of 327 nature science high school female students, aged 17 to 20 years, attending five different high school vocational programs (cosmeticians, ecology technicians, geology technicians, chemical laboratory assistants and chemical industrial technicians) sport preference questionnaire was applied. Questionnaire consists of list of 25 sports chosen to be representatives of five sport interest factors: (1) factor of traditional sports, defined by swimming, skiing, sports gymnastics, athletics, and cycling; (2) team sports factor, including volleyball, basketball, football, handball, and field hockey; (3) combat sports factor, including judo, box, taekwondo, wrestling and karate; (4) factor of sports with marked aesthetic component, including skating, rhythmic gymnastics, dance, diving and synchronised swimming, and (5) factor of outdoor and adventurous sports, defined by scuba diving, mountaineering, watter skiing, surfing and parachuting. The difference in sport interests in groups defined by five vocational programs was established by canonical discriminant analysis of orthogonalised factor scores from confirmatory factor analysis. Two statistically significant discriminant functions were found identified as general rejectance and acceptance of sport, and team sports oposed to traditional and outdoor sports dimension. First dimension differ ecology technicians attending elite educational program at the accepting sports side of the discriminant function from the other groups. Second dimension differs, in Holland's terms, investigative chemical laboratory assistants on traditional and outdoor sports side, and realistic geology technicians at the team sports side of discriminant function. Key words: factor analysis, discriminant analysis, high school students Introduction The interests could be simply defined as likes or dislikes attached to specific activities or objects (Greenhaus et al., 2000). As Super and Crites state, interests are the products of interaction of inherited factors involved in personality development and exogenous factors as opportunity and social evaluation (Super and Crites, 1962). Vocational interests are the most researched in the field of interests, being recognized as most important in human behavior prediction. Holland's theory of vocational choice (Holland, 1985) is contemporary leading theoretical frame in occupational interests research as well as applied occupational psychology. By now, sport interests were researched sporadically (Bosnar and Prot, 2003). More research in the field could be expected following increased positive evaluation of physical activity in all parts of population. The aim of this work is to measure sport interests of female adolescents attending five different high school vocational programs and to determine the differences in interests among groups. Methods The sample of this research consists of 327 nature science high school female students aged 17 to 20 years. They attended five different high school vocational programs, preparing students to be cosmeticians (n=116), ecology technicians (39), geology technicians (21), chemical laboratory assistants (83) and chemical industrial technicians (68). Programs, as well as following careers differ significantly. Future ecology technicians have elite program, with highest academic demands, expecting that students are able to solve scientific problems and to be socially responsible at the same time. Vocational programs for geology technicians and chemical industrial technicians could be recognized as belonging to realistic, and program for chemical laboratory assistants to investigative factor in Holland's terms. Future cosmeticians have less academic, but various other demands. They are educated for working with people and develop artistic and enterprising career. The students were given sport preference questionnaire consisting of the list of 25 sports to be evaluated on the five-point scale (Prot et al., 2003). By confirmatory multiple-group factor analysis results were transformed to five-factor solution. The following five factors were determined: (1) factor of traditional sports, defined by swimming, skiing, sports gymnastics, athletics, and cycling; (2) team sports factor, including volleyball, basketball, football, handball, and field hockey; (3) combat sports factor, including judo, box, taekwondo, wrestling and karate; (4) factor of sports with marked aesthetic component, including skating, rhythmic gymnastics, dance, diving and synchronised swimming, and (5) factor of outdoor and adventurous sports, defined by scuba diving, mountaineering, watter skiing, surfing and parachuting. The difference in sport interests in groups defined by five vocational programs was established by canonical discriminant analysis of orthogonalised factor scores from confirmatory factor analysis. Results and discussion The pattern and factor structure of five factors obrained by confirmative multi-group procedure is in Table 1. The factors are well defined and can undoubtedly be identified as factors of traditional sports, team sports, combat sports, aesthetic sports and outdoor sports. Correlations of factors are in Table 2. Traditional and aesthetic sport factors have highest correlation, sharing 35 per cents of common variance. Aesthetic and team sports factors have lowest correlation and share only 3.3 per cents of common variance. Table 1. The pattern (A) and factor structure (F) of five factors of traditional sports, team sports, combat sports, aesthetic sports and outdoor sports, obrained by confirmative multi-group procedure Sport factors SportsTraditional sportsTeam sportsCombat sportsAesthetic sportsOutdoor sportsAFAFAFAFAFswimming .589 .623 -.021 .157 -.070 .181 .088 .430 .029.334skiing .525 .529 .143 .283 -.106 .217 -.206 .216 .237.396sports gymnastics .544 .639 -.194 .042 .109 .240 .329 .568 -.157.279athletics .750 .685 .035 .234 .003 .232 .000 .382 -.150.245cycling .612 .545 .037 .225 .065 .283 -.211 .193 .041.297volleyball  -.122 .089 .561 .493 -.123 .072 .205 .172 -.074.036basketball .001 .103 .596 .554 -.054 .162 -.098 -.005 -.010.065football .040 .243 .619 .662 .078 .354 -.085 .098 .061.229handball .095 .215 .639 .639 .012 .248 -.051 .077 -.105.082field hockey -.014 .259 .501 .568 .087 .354 .029 .192 .129.298judo  .001 .322 -.020 .304 .751 .774 .022 .219 .054.416box -.071 .187 .037 .298 .701 .690 -.064 .080 .033.308taekwondo -.019 .323 -.048 .301 .858 .827 .098 .252 -.056.375karate .038 .312 -.012 .323 .843 .810 .004 .179 -.091.327wrestling .051 .289 .043 .308 .602 .653 -.059 .147 .059.354skating .042 .345 -.150 -.035 .008 .074 .667 .623 -.095.203rhythmic gymnastics .113 .428 -.056 .065 -.006 .095 .731 .698 -.190.189dance -.125 .276 .109 .172 .015 .102 .778 .638 -.194.135diving .045 .517 -.007 .190 .013 .317 .459 .665 .384.624synchron. swimming -.076 .405 .103 .218 -.030 .191 .694 .705 .095.388scuba diving -.033 .386 -.029 .161 .034 .360 .105 .406 .688.729mountaineering .142 .373 .030 .186 -.065 .299 -.226 .191 .740.685watter skiing .026 .434 -.068 .154 .075 .404 .075 .416 .694.761surfing -.095 .397 .090 .280 .052 .425 .119 .428 .727.779parachuting -.040 .287 -.023 .109 -.096 .245 -.073 .250 .806.700 Mean values of factor scores standardized over whole sample (Table 3) show that ecology technicians, chemical laboratory assistants and cosmeticians have more positive overall interests in sports than other two groups. Table 2. Correlations of multi-group factors of traditional sports, team sports, combat sports, aesthetic sports and outdoor sports traditional sportsteam sportscombat sportsaesthetic sportsoutdoor sportstraditional sports1.000team sports.3121.000combat sports.382.4081.000aesthetic sports.592.183.2341.000outdoor sports.513.243.474.4621.000 Table 3. Mean values of factor scores standardized over whole sample, on the groups of students - cosmeticians (n=116), ecology technicians (39), geology technicians (21), chemical laboratory assistants (83) and chemical industrial technicians  cosmeticiansecology techniciansgeology technicianschemical laboratory assistantschemical industrial technicianstraditional sports.032.031-.391.183-.175team sports.099.376-.188-.083-.225combat sports.050.414-.444.014-.203aesthetic sports.121-.079-.217.065-.174outdoor sports.020.227-.167.145-.289 Table 4. Correlations of standardized factor values and orthogonalized factor values traditional sportsteam sportscombat sportsaesthetic sportsoutdoor sportstraditional sports .909  .131  .155  .287  .224team sports .131  .967  .191  .060  .085combat sports .155  .191  .941  .071  .219aesthetic sports .287  .060  .071  .931  .204outdoor sports .224  .085  .219  .204  .924 The differences of five groups in sport interests factors was established by canonical discriminant analysis of orthogonalised factor scores from confirmatory factor analysis. The correlations of standardized factor values and orthogonalized factor values are in Table 4. The results of canonical discriminant analysis are in table 5. Two significant discriminant functions were obtained. The first discriminant function could be recognized as general rejection at the negative and general acceptance of sports at positive side (Table 6). The second discriminant function is defined by team sports factor at the negative side oposed to others at the positive side, with traditional and outdoor sports factors having highest values (Table 6). Table 5. The results of canonical discriminant analysis: canonical correlations (R), F values and significance of F - tests. Roots removedR F - valuep0 .236  19.143  .0001 .157  8.219  .0042 .111  4.070  .0443 .103  3.472  .063 Table 6. Structure of significant discriminant functions in ortogonalised space (M) and standardized factor space (S) M 1S 1M 2S 2traditional sports -.091  -.373  .820  .812 team sports -.610  -.767  -.420  -.254 combat sports -.664  -.851  .030  .165 aesthetic sports -.047  -.240  .118  .397 outdoor sports -.421  -.616  .371  .521  Table 7. Group centroids on discriminant functions (D) for the group of cosmeticians, ecology technicians, geology technicians, chemical laboratory assistants and chemical industrial technicians Group of studentsD 1D 2cosmeticians-.074-.047ecology technicians-.495-.132geology technicians .332-.255chemical laboratory assistants.016.254chemical industrial technicians.288-.076 Group centroids on discriminant functions (Table 7, Figure 1) show that first dimension differ ecology technicians attending elite educational program at the accepting sports side of the discriminant function from the other groups. Second dimension differs, in Holland's terms, investigative chemical laboratory assistants on traditional and outdoor sports side, and realistic geology technicians at the team sports side of discriminant function. Cosmeticians are near origin point of functions. It seams that realistic vocational orientation means low overall interest in sport and only relatively higher interests in most popular team sports. Investigative and more complex vocational orientations seam to be followed by more positive sport interests. Figure 1. Group centroids on discriminant functions for the group of students preparing to be cosmeticians (C), ecology technicians (E), geology technicians (G), chemical laboratory assistants (CL) and chemical industrial technicians (Ci). Traditional sports Outdoor sports  Team sports References Bosnar, K. and Prot, F. (2003). HYPERLINK "prikazi-rad?&rad=125565"The sport preference factors and personality traits. In: Muller, E. ; Schwameder, H. ; Zallinger, G. ; Fastenbauer, V. (Eds.) Book of Abstracts of 8th Annual Congress European College of Sport Science. Salzburg: Institute of Sport Science University of Salzburg, 310. Greenhaus, J.H., Callanan, G.A. and Godshalk, V.M. (2000) Career management. Orlando: Harcourt. Holland, J.L. (1985). Making vocational decisions (2nd edition). Englewood Cliffs, NJ: Prentice-Hall Prot, F., Gonik, J. and Bosnar, K. (2003). HYPERLINK "prikazi-rad?&rad=126092"The position of new activities in the factor structure of standard students' sport interests. Daegu Universiade Conference Facing the Challenge, Proceedings I . Daegu: Universiade Conference Organizing Comitee. Super, D. E., & Crites, J. O. (1962). Appraising vocational fitness (2nd Edition). New York: Harper & Row. PAGE 1 PAGE 1  EMBED PBrush   EMBED PBrush   EMBED PBrush  VWbcstv$(;k   . = [d4?@XJ]ڱB*CJOJQJ CJOJQJ5CJOJQJ5B*CJOJQJCJOJQJmHCJOJQJmHCJmHCJmHmH CJ 5CJmH CJmH  5CJH*5CJCJCJ>VW$ / 0 = [cd0z@AXYj45$dhdh$dh$$dh$$dh$VW$ / 0 = [cd0z@AXYj45CJ]iw  ).7<DIJ\ejsx b5CJ]iwX $1$9<<$)$$l4$O ?"` $9<<$<<$$<<$ <4"$$l  O G?" $1$<<$1$<$$<<$.$$l4.  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