Faktor kecerdasan pelbagai dalam pembentukan profil remaja

Purpose – This study aimed to identify factors of multiple intelligences (MI) contributing on the eight multiple intelligence pioneered by Gardner. The study also aims to explore the different factors of multiple intelligences based on gender, race, school category, stream and SES (Social Economic Status). Method – This quantitative and survey study was conducted on 511 students using the MyMICA 2006 (Malaysian Multiple Intelligence Check list for Adult 2006) instrument. Findings – Linear regression analysis showed that the contribution of Visual Space intelligence factor on Mathematical Logic intelligence is the highest (97.8%) and the contribution of Verbal Linguistics intelligence factor on Music intelligence is the lowest (22.2%). MANOVA analysis showed that there is a significant difference between Verbal Linguistics intelligence (F = 25.11, p < 0.01) and Intrapersonal intelligence (F = 14.85, p < 0.01) based on two different school categories. There is also a significant difference between Malay and non-Malay students regarding two intelligences, Musical (F = 12.82, p < 0.01) and Kinesthetic (F = 9.58, p < 0.01). Significance – This study also shows that teachers and school administrators should be sensitive to the multiple intelligences of each individual student. Teachers and schools’ environment should nurture these intelligences to maximize students’ performance for all subjects.