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Relationship between fingerprint pattern<br />

and multiple intelligence<br />

The ANOVA showed that only the mean<br />

score of the logical-mathematical MI had a<br />

statistical significant difference between three types<br />

of fingerprint patterns on the right middle finger i.e.<br />

whorl, ulnar loop, and arch [F (2,70)<br />

=4.42, p=0.02). In<br />

other words, pattern type on the right middle finger<br />

is able to indicate a subject who has a high mean<br />

score of the logical-mathematical MI. The other MI<br />

mean scores show no significant difference between<br />

groups of fingerprint pattern types. The next step<br />

of the analysis was to identify which type of<br />

fingerprint pattern on the right middle finger is<br />

able to indicate high mean scores of the logicalmathematical<br />

MI. Considering frequencies of each<br />

pattern type on the right middle finger, it was found<br />

that the ulnar loop was the most prevalent (59.7%),<br />

38.9% showed the whorl and only 1 subject (1.4%)<br />

had the arch. Thus the least frequency was deleted<br />

resulting in 71 subjects for the next analysis using<br />

the independent sample t-test. Results showed that<br />

the group of the whorl type had a significantly<br />

higher logical-mathematical MI mean score (29.21)<br />

than that of the ulnar loop type (26.12) [t (69)<br />

=-3.03,<br />

p=0.002]. This indicates that the whorl type<br />

pattern on the right middle finger is related to the<br />

logical-mathematical MI.<br />

Regarding analyses of an individualûs<br />

fingerprint pattern type and MI score as shown in<br />

Fig. 2, it helps each subject to know both of his<br />

or her eight multiple intelligences in ranking and<br />

the types of fingerprint patterns.<br />

Discussion<br />

The reliability of the MI checklist of<br />

this study was quite high and similar to that of a<br />

previous study (alpha Cronbach=0.911) by Sintuwong<br />

(2002) probably caused by similarity of subjectsû<br />

characteristics and words using in questions which<br />

had been adapted for students.<br />

The logical-mathematical MI mean score<br />

ranks the highest among the present studyûs subjects<br />

and the previous one by Sintuwong (2002) because<br />

both were students from the Science and Technology<br />

field. Remarkably, students who study in the<br />

Science and Technology field have highly intelligence<br />

in logical-mathematics.<br />

Authentic assessment of MI, documentation<br />

of individual profiles and problem-solving, can be<br />

performed by using several kinds of tools for data<br />

collection (Armstrong, 1994) for example; anecdotal<br />

records, work samples, audio cassettes, video tapes,<br />

photography, sociograms, informal tests, checklists<br />

etc.<br />

Types of fingerprint pattern by fingers<br />

particularly on the left and right thumbs seem to be<br />

comparable to the previous study which had a larger<br />

sample size of 684 subjects (Nanakorn et al.,<br />

2007). The previous study revealed significant sex<br />

differences of fingerprint pattern types on the left<br />

and right thumbs, while the present study had too<br />

small sample size to determine this statistically.<br />

The sample size of this pilot study<br />

encourages researchers to calculate the appropriate<br />

sample size for future study of 1893 subjects<br />

(Lemeshow et al., 1990; Nanakorn et al., 2009) for<br />

investigation of 8 MI and fingerprint pattern<br />

typesû relationships.

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