The aim of this study is to develop a measurement scale after classifying the factors needed for diagnosis based on professional personal color diagnosis, designing measurement items and measuring them among the Korean population. For this, literature records and previous studies relating to the diagnosis of personal color were reviewed, and the attributes with which personal color diagnosis types can be categorized were extracted. Then, the questions for each type were designed. After adding general characteristics to the designed items and designing a measurement scale, a total of 141 copies were analyzed via an Internet questionnaire survey. The results found the following: In the 1st factor of ‘spring’, six items were chosen after discounting those with 0.40 or lower factor loading and two unsuitable items (#9, #10). In the 2nd factor of ‘summer’ as well, six items were selected after eliminating those with 0.40 or lower factor loading and two unsuitable items (#15, #16). In the 3rd factor, ‘autumn’, six items were chosen by removing those with 0.40 or lower factor loading and two unsuitable items (#3, #4). In the 4th factor of ‘winter’, lastly, six items were chosen after removing those with 0.40 or lower factor loading and two unsuitable items (#5, #6). Overall, the four factors were fairly similar in terms of the number of questions. Therefore, there were no items to be deleted to match the number of items. In terms of reliability (Cronbach's α), subfactors are deemed reliable with 0.80 or higher. The said results show the validity of a self-diagnostic personal color measurement scale.
It appears that standardized measurement scales could be developed and used in diverse fields.
영어초록
The aim of this study is to develop a measurement scale after classifying the factors needed for diagnosis based on professional personal color diagnosis, designing measurement items and measuring them among the Korean population. For this, literature records and previous studies relating to the diagnosis of personal color were reviewed, and the attributes with which personal color diagnosis types can be categorized were extracted. Then, the questions for each type were designed. After adding general characteristics to the designed items and designing a measurement scale, a total of 141 copies were analyzed via an Internet questionnaire survey. The results found the following: In the 1st factor of ‘spring’, six items were chosen after discounting those with 0.40 or lower factor loading and two unsuitable items (#9, #10). In the 2nd factor of ‘summer’ as well, six items were selected after eliminating those with 0.40 or lower factor loading and two unsuitable items (#15, #16). In the 3rd factor, ‘autumn’, six items were chosen by removing those with 0.40 or lower factor loading and two unsuitable items (#3, #4). In the 4th factor of ‘winter’, lastly, six items were chosen after removing those with 0.40 or lower factor loading and two unsuitable items (#5, #6). Overall, the four factors were fairly similar in terms of the number of questions. Therefore, there were no items to be deleted to match the number of items. In terms of reliability (Cronbach's α), subfactors are deemed reliable with 0.80 or higher. The said results show the validity of a self-diagnostic personal color measurement scale.
It appears that standardized measurement scales could be developed and used in diverse fields.
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중복자료
저작권 없음
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