Physical Intelligence of University of Technology MARA Sport Science Students

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Physical Intelligence of University of Technology MARA Sport Science Students Tan Chee Hian Lecturer Faculty of Sport Science & Recreation University of Technology MARA Shah Alam, Selangor 1

Physical Intelligence of University of Technology MARA Sport Science Students ABSTRACT The purpose of this investigation is to determine the physical among the Sports Science students who were enrolled at the Faculty of Sports Science and Recreation, Universiti Teknologi MARA Shah Alam campus and branch campuses (Arau and Kuching campuses). The model of this study is based on Denis Postle s (The Mind Gymnasium,1989) Model of multiple. Denis Postle s model includes four types of : 1) Emotional Intelligence, 2) Intuitive Intelligence, 3) Physical Intelligence and 4) Intellectual Intelligence. This study only examined Physical Intelligence. Further, this study adopted 5 dimensions of the 6 dimensions of Postle s Physical Intelligence which were fitness and health, enjoyment of physical activities, pride in manual skills and dexterity, sensible and balanced diet and love of the outdoors. A total of 215 Sport Science students enrolling in the diploma and degree courses were examined. Data were collected through a questionnaire formulated by the researcher. Results indicated that there was no significant difference in physical among students from different age groups. However, when students from different programmes were compared, significant difference was found in the love of outdoor dimension. Multiple comparisons results showed that significant difference was between Diploma and Bachelor of Sport Science students with Diploma students love the outdoor more than Bachelor of Sport Science undergraduates. Keywords: physical, multiple 2

Introduction One of the obsessions of education system is, and to date the debate about human especially multiple s continues. There is a need for better understanding of human. An enhanced perception of human potential requires that we develop a more holistic view of and its contribution to human achievement and personal effectiveness. The Theory of Multiple Intelligences was introduced by Howard Gardner in his book: Frames of Mind (Gardner, 1983). He proposed seven s that include kinesthetic. Even though kinesthetic is related to physical movement, it does not encompass the broad spectrum of physical ability. Subsequently, new thoughts have emerged with enhanced view of human. Denis Postle (The Mind Gymnasium,1989) proposed four types of : Emotional Intelligence, Intuitive Intelligence, Physical Intelligence and Intellectual Intelligence. Denis Postle (The Mind Gymnasium, 1989) describes four types of as: 1. Emotional - radiating warmth, awareness of own feelings, sensitivity to feelings of others, creating harmony and goodwill, dealing with emotional issues openly, empathizing with the experience of others. 2. Intuitive - gut feelings, hunches, speculating about the future, using imagination, willingness to take risks, capacity for change. 3. Intellectual - reasoning, problem solving, analysis, calculation, handling information, abstract ideas and 4. Physical - concerned with fitness and health, enjoyment of physical activities, pride in manual skills and dexterity, sensible and balanced diet, love of the outdoors, and good at household tasks Human Intelligence Physical Emotional Intuitive Intellectual Figure 1: The Mind Gymnasium, Human Intelligence (Postle, D.,1989). Physical Concerned with fitness and health Enjoyment of physical activities Pride in manual skills & dexterity Sensible & balanced diet Love of the outdoor Good at household tasks 3

In Inside Organizations (1990), Charles Handy offers a working list which has several different types of : Logical, those who can reason, analyse and memorize. Spatial, those who can discern patterns in things and create them. Musical, those who can sing, play or make music of all sorts. Practical, the person who can pull a carburetor to bits but might never be able to spell the word or explain how they did it. Physical, the footballers, athletes and dancers among us. Intra-personal, the sensitive people who can see in themselves, the quiet perceptive ones. Inter-personal, who can make things happen and through people. As such Cozens & Stumpf (1953) reported that anthropology and history research has revealed that physical activities and games have been fundamental aspects of all cultures throughout the history of the world. Physical activity and recreation are among the oldest arts in the humanities. Physical activities have been an important element in every culture and have been a significant force in human relations (Ali Soltani, 1983). In the case of Physical Intelligence, administrators goals would be the utilization of human capital with resources available. The right decision is important because people are expensive resources; it is worth taking time and effort to find the right person for the right job (Thomson, 1993: 27). In Malaysia, Physical Intelligence is a new field of knowledge as far as sports and physical activities are concerned. With the development in Physical Education and Sports Science in the curriculum of secondary schools and tertiary institutions and with interests shown by public and private institutions in promoting the Sport Science courses, it is important that Physical Intelligence should be deeply explored to gauge the effects of curriculum and training to students. Further it is important because expertise in human enable individuals to solve problems (Gardner, 1983). Intelligence can be developed through education processes, experiences and environments (Gardner, 1983) as such physical of sport science students would be able to be developed through the same process too. Since Gardner (1993) emphasized that every individual has all type of but vary in terms of degree or strength, it will be interesting to discover the differences that exists in individuals. This study is concerned with the analysis of physical among UiTM undergraduates from the Faculty of Sport Science and Recreation. 4

Methods This is a survey research using an instrument which is developed by the researchers. The survey groups included diploma and degree programmes undergraduates at the Faculty of Sport Science and Recreation. Research Instrument The questionnaire for this study is developed based on five of the Postle s (1989) six dimensions of the physical dimensions. This instrument includes 59 items that are sub-divided as in Table 1. Table 1 Items of the Physical Intelligence for Sport Science students (PISSS) Domains Items Concerned with fitness and health 11 Enjoyment of physical activities 13 Pride in manual skills and dexterity 13 Sensible and balanced diet 13 Love of the outdoor 9 Participants The sample population consisted of 215 students from the diploma and degree programmes. Thirty three students were Diploma in Sports Studies students, 56 were Bachelor of Sport Management undergraduates and 132 were bachelor of Sport Science undergraduates. 164 students were from the science stream and 51 were from the arts prior enrolling into the present programme. Reliability of the instrument The internal consistency for the Physical Intelligence for Sport Science Students (PISSS) was determined using the alpha coefficient. The values of Cronbach alpha obtained for each domain ranged from 0.70 to 0.77. The alpha coefficient for the whole instruments is 0.78. The alpha values for the five sub-domains are shown in Table 2. 5

Table 2 Alpha values for the five sub-domains of PISSS Domains Alpha coefficient Concerned with fitness and health (Cfh) 0.70 Enjoyment of physical activities (Epa) 0.73 Pride in manual skills and dexterity (Pmsd) 0.71 Sensible and balanced diet (Sbd) 0.77 Love of the outdoor (Lod) 0.75 Validity of the instrument Table 3 shows the correlations among domains using Pearson Correlation Coefficients which is significantly at 0.01 level. Table 3 Correlation Among Domains of PISSS Cfh Epa Pmsd Sbd Lod Cfh 1 Epa 0.523** 1 Pmsd 0.524** 0.436** 1 Sbd 0.404** 0.319** 0.365** 1 Lod 0.439** 0.406** 0.467** 0.218** 1 ** Significant at p <.01 Results Physical of undergraduates and different age groups Table 4 ANOVA between mean physical scores of Sport Science undergraduates when compared to different age groups Domains Sum of Squares df Mean Square F Sig. Concerned for Fitness and health Between Groups.563 2.281.011.989 Within Groups 5521.921 212 26.047 Total 5522.484 214 Enjoyment of physical activities Between Groups 20.177 2 10.088.311.733 Within Groups 6820.593 210 32.479 Total 6840.770 212 Pride in manual skills and dexterity Between Groups 42.937 2 21.469.486.616 Within Groups 9369.686 212 44.197 Total 9412.623 214 Sensible and balanced diet Between Groups 108.662 2 54.331 2.175.116 Within Groups 5269.867 211 24.976 Total 5378.528 213 Love of the outdoor Between Groups 137.176 2 68.588 2.102.125 Within Groups 6916.620 212 32.626 Total 7053.795 214 6

For the purpose of the analysis, the age groups of students were categorized into three groups: < 21 years group, 21-29 years group and 30 & above year old group. The results In Table 4 were not statistically significant. Thus it can be concluded that there were no significant differences among the age groups for all the sub-domains of the PISSS. Physical of undergraduates and programme of studies Table 5 ANOVA between mean physical scores of Sport Science undergraduates when compared to different programmes Domain Sum of Squares df Mean Square F Sig. Concerned for Fitness and health Between Groups 44.451 2 22.225.860.425 Within Groups 5478.033 212 25.840 Total 5522.484 214 Enjoyment of physical activities Between Groups 8.006 2 4.003.123.884 Within Groups 6832.764 210 32.537 Total 6840.770 212 Pride in manual skills and dexterity Between Groups 2.326 2 1.163.026.974 Within Groups 9410.297 212 44.388 Total 9412.623 214 Sensible and balanced diet Between groups 113.902 2 56.951 2.283.105 Within Groups 5264.626 211 24.951 Total 5378.528 213 Love of the outdoor Between Groups 228.947 2 114.473 3.556.030* Within Groups 6824.848 212 32.193 Total 7053.795 214 The results In Table 5 showed that students from different programmes differed significantly in the love of outdoor domain. Thus it can be concluded that the students from different study programmes were different in term of love of out door domain but were not significant different in the other four domains of PISSS. Table 5a Multiple comparisons results obtained for physical scores of Sport Science students from different programmes Multiple Comparisons 5 D vs program Tukey HSD Dependent Variable (I) program of the subject (J) program of the subject Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Love of the outdoor Lower Upper Bound Bound Bachelor Sports Science Bac.Sport Management -1.5697.94220.221-3.7936.6542 Diploma -2.6667(*) 1.10427.044-5.2731 -.0603 Bachelor Sport Bac. Sports Science Management 1.5697.94220.221 -.6542 3.7936 Diploma -1.0970 1.27255.665-4.1006 1.9066 Diploma Bac. Sports Science 2.6667(*) 1.10427.044.0603 5.2731 Bac.Sport Management 1.0970 1.27255.665-1.9066 4.1006 Multiple comparisons results in Table 5a show that there is significant differences between Diploma students and Bachelor of Sport Science students. Table 5b shows that Diploma students love outdoor more than Bachelor of Sport Science students. 7

Table 5b Mean scores of students from different programme for Love of outdoor Programme N Mean Scores Bachelor of Sport Science 132 36.03 Bachelor of Sport Management 50 37.60 Diploma 33 38.70 Conclusion and Discussion The results of the study showed that Sport Science undergraduates from Diploma and Bachelor Programmes were similar in terms of their physical. Different backgrounds did not differentiate the Sport Science undergraduates. This is supported by Gardner (1983) that Intelligence can be developed through education processes, Experiences and environments, as such physical of sport science undergraduates would develop through the same process too. However the lowest mean score for the undergraduates from Bachelor of Sport Science programme as compared to the other two groups needs further investigation. References Angyal, A. L. (1941). Foundations for a science of personality. New York: Commonwealth Fund Argyris,C.(1964). Integrating the Individual and Organization. Chichester: Wiley. Armstrong,T.(1994). Multiple Intelligence in the classroom. Alexandria. Virginia: Association for Supervision Curriculum Development. Buzan,T.(1982). Use Your Head. London: Ariel Books/BBC Books. Campbell, L.B. (1994). The Multiple Intelligence handbook. Lesson Plans and more.stanwood,w.a.: Campbell and Associates. Cozens, F. W. & Stumpf, F. S. (1953). Sports in America Life. Chicago: University of Chicago Press. Gardner,H. (1983). Frames of Mind : A Theory of Multiple Intelligences. New York: Basic Book. Gardner,H. (1993). Multiple Intelligences: Theory and practice. New York: Basic Book. Handy, C.(1976). Understanding Organizations. London : Penguin. Handy, C.(1990). Inside Organization. London: BBC Books. 8

Kenyon, G. S. (1968). A conceptual model for characterizing physical activity. Research Quarterly, 39, 96-108. Kerlinger, F. N. (1973). Foundation of behavioural research. New York: Holt, Rinehart & Winston. McGregor, D.(1960). The Human Side of Enterprise. New York : McGraw- Hill. Postle, D. (1989). The Mind Gymnasium. London : MacMillan. Schein, E.H. (1980). Organizational Psychology. Hemel Hampstead : Prentice- Hall. Thomson, R. (1993). Managing People. Oxford: Butterworth -Heinemann. West, M. & Ainscow, M. (1991). Managing school development: A practical guide. London: David Fulton. 9