logging in or signing up Prot Franjo FunnyGuy Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 103 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 22, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide1: Cluster analysis of sport interests in elementary school children Franjo Prot1 , Ksenija Bosnar1 and Jelka Gošnik2 Faculty of Kinesiology1, University of Zagreb, Faculty of Philosophy2, University of Zagreb, CroatiaSlide2: THE AIM OF THE STUDY To explore a cluster structure of sport interests of elementary school children Slide3: SUBJECTS 1294 urban elementary school pupils aged 11 -15 years (685 boys, 609 girls)Slide4: VARIABLES Measure of sport preferences - list of 52 sports to be evaluated on five-point scale to describe intentios of behaviourSlide5: The list of 52 sports: acrobatics, aerobics, aeronautics, rock climbing, archery, athletics, auto-moto sports, badminton, baseball, basketball, bodybuilding, bowls, boxing, canoeing, cycling, dance, diving, equestrian, fencing, field hockey, football, handball, ice hockey, judo, karate, mountaineering, orienteering, parachuting, pin bowling, rhythmic gymnastics, roller skating, rowing, rugby, schooting, scuba diving, skating, skiing, sledging, spear-fishing, sports fishing, sports gymnastics, surfing, swimming, synchronized swimming, table tennis, taekwondo, tennis, volleyball, water skiing, waterpolo, weightlifting and wrestling. Slide6: - I will never participate - I will participate only if there it will be no other activity - I will participate from time to time temporarily, but, under suitable conditions - I would like to participate - I would participate just if there it will be any oportunity Five-point scale:Slide7: METHODS Groups were defined as five distinct clusters obtained by SPSS implementation of k-means clustering of sport preference scale results. Slide8: RESULTS Slide9: subjects preferring sports with marked aesthetic component, some sports on water and equestrian, and rejecting the number of "male" sports. subjects preferring dance, tennis, roller-skating and badminton, and rejecting "male" sports. subjects with above average values of preferences on all sports. subjects with marked above average interests in football, ice hockey, rowing, shooting and motor-sport, and evident under average interests in dance, aerobics, synchronized swimming and rhythmic gymnastics. subjects preferring football and basketball, being neutral to tennis, table tennis, handball, cycling and motor-sport, and rejecting all the other sports Slide10: subjects preferring sports with marked aesthetic component, some sports on water and equestrian, and rejecting the number of "male" sports. N1 = 251Slide11: 2. subjects preferring dance, tennis, roller-skating and badminton, and rejecting "male" sports. N2 = 220 Slide12: 3. subjects with above average values of preferences on all sports. N3 = 214 Slide13: 4. subjects with marked above average interests in football, ice hockey, rowing, shooting and motor-sport, and evident under average interests in dance, aerobics, synchronized swimming and rhythmic gymnastics. N4 = 369 Slide14: 5. subjects preferring football and basketball, being neutral to tennis, table tennis, handball, cycling and motor-sport, and rejecting all the other sports N5 = 240Slide15: WHY IT IS SO? Slide16: Prot, Bosnar and Sporiš (2006) Samples representative for seccondary school graduates 3327 males and 3106 fenales Urban adolescents of average age 18.3 years Slide17: Centoids on discriminanat functionsSlide21: Discriminant analysis in space of 52 sport interest preferences with respect to gender: r = 0.837 Discriminant analysis in the space of discriminant scores of k-means clusters with respect to gender: r = 0.811 - Correlation of discriminant scores from step 1. and step 2. : r = 0.969 Aditional analyses and results:Slide22: COMMENTS AND CONTACTS: Ksenija Bosnar e-mail : xenia@kif.hr reference to: Child in Motion Slide23: COMMENTS AND CONTACTS: Jelka Gošnik e-mail : jgosnik@ffzg.hr reference to: Child in Motion Slide24: COMMENTS AND CONTACT: Franjo Prot e-mail : pipo@kif.hr reference to: Child in MotionSlide25: THANK YOU FOR YOUR ATENTION ! SEE YOU NEXT TIME !!! You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Prot Franjo FunnyGuy Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 103 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 22, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide1: Cluster analysis of sport interests in elementary school children Franjo Prot1 , Ksenija Bosnar1 and Jelka Gošnik2 Faculty of Kinesiology1, University of Zagreb, Faculty of Philosophy2, University of Zagreb, CroatiaSlide2: THE AIM OF THE STUDY To explore a cluster structure of sport interests of elementary school children Slide3: SUBJECTS 1294 urban elementary school pupils aged 11 -15 years (685 boys, 609 girls)Slide4: VARIABLES Measure of sport preferences - list of 52 sports to be evaluated on five-point scale to describe intentios of behaviourSlide5: The list of 52 sports: acrobatics, aerobics, aeronautics, rock climbing, archery, athletics, auto-moto sports, badminton, baseball, basketball, bodybuilding, bowls, boxing, canoeing, cycling, dance, diving, equestrian, fencing, field hockey, football, handball, ice hockey, judo, karate, mountaineering, orienteering, parachuting, pin bowling, rhythmic gymnastics, roller skating, rowing, rugby, schooting, scuba diving, skating, skiing, sledging, spear-fishing, sports fishing, sports gymnastics, surfing, swimming, synchronized swimming, table tennis, taekwondo, tennis, volleyball, water skiing, waterpolo, weightlifting and wrestling. Slide6: - I will never participate - I will participate only if there it will be no other activity - I will participate from time to time temporarily, but, under suitable conditions - I would like to participate - I would participate just if there it will be any oportunity Five-point scale:Slide7: METHODS Groups were defined as five distinct clusters obtained by SPSS implementation of k-means clustering of sport preference scale results. Slide8: RESULTS Slide9: subjects preferring sports with marked aesthetic component, some sports on water and equestrian, and rejecting the number of "male" sports. subjects preferring dance, tennis, roller-skating and badminton, and rejecting "male" sports. subjects with above average values of preferences on all sports. subjects with marked above average interests in football, ice hockey, rowing, shooting and motor-sport, and evident under average interests in dance, aerobics, synchronized swimming and rhythmic gymnastics. subjects preferring football and basketball, being neutral to tennis, table tennis, handball, cycling and motor-sport, and rejecting all the other sports Slide10: subjects preferring sports with marked aesthetic component, some sports on water and equestrian, and rejecting the number of "male" sports. N1 = 251Slide11: 2. subjects preferring dance, tennis, roller-skating and badminton, and rejecting "male" sports. N2 = 220 Slide12: 3. subjects with above average values of preferences on all sports. N3 = 214 Slide13: 4. subjects with marked above average interests in football, ice hockey, rowing, shooting and motor-sport, and evident under average interests in dance, aerobics, synchronized swimming and rhythmic gymnastics. N4 = 369 Slide14: 5. subjects preferring football and basketball, being neutral to tennis, table tennis, handball, cycling and motor-sport, and rejecting all the other sports N5 = 240Slide15: WHY IT IS SO? Slide16: Prot, Bosnar and Sporiš (2006) Samples representative for seccondary school graduates 3327 males and 3106 fenales Urban adolescents of average age 18.3 years Slide17: Centoids on discriminanat functionsSlide21: Discriminant analysis in space of 52 sport interest preferences with respect to gender: r = 0.837 Discriminant analysis in the space of discriminant scores of k-means clusters with respect to gender: r = 0.811 - Correlation of discriminant scores from step 1. and step 2. : r = 0.969 Aditional analyses and results:Slide22: COMMENTS AND CONTACTS: Ksenija Bosnar e-mail : xenia@kif.hr reference to: Child in Motion Slide23: COMMENTS AND CONTACTS: Jelka Gošnik e-mail : jgosnik@ffzg.hr reference to: Child in Motion Slide24: COMMENTS AND CONTACT: Franjo Prot e-mail : pipo@kif.hr reference to: Child in MotionSlide25: THANK YOU FOR YOUR ATENTION ! SEE YOU NEXT TIME !!!