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http://dx.doi.org/10.7236/JIIBC.2016.16.6.295

The Development of Scales on Rating College Students' Adaptability and the Analysis of Technical Quality  

Kim, Soo-Yoen (Dept. of Early Childhood Education, JEI University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.16, no.6, 2016 , pp. 295-303 More about this Journal
Abstract
The purposes of this study are to describe the process for the instrument construction and the development of scales on rating college students' adaptability and to analyze the technical qualities of the test. The primary goal of this study is to inform students and institutions what is needed to college student's adjustment process into university and college life. The scales are tested by specialty group and statistical methods, and finally composed of 142 items, which measures 8 scales, the academic integration, the social integration into college, career identity, emotional stability, learning condition's stability, relationship with professors, satisfaction degree of educational service, satisfaction degree of college education. This study analyzed 1,959 students' responses from 4 colleges and universities. This study confirms that the scales which this study developed show high concurrent evidence with the college student's adaptability inventory for Korean university and college students based on various development process, specially rapid great change of college. The result of factor analysis shows the evidence based on internal structures of the scales. The Cronbach's ${\alpha}$ of the subscales is .965, from 742 to .937. The prediction model to determine the possibility of dropout by 7 scales is statistically significant in .05, except learning condition's stability. According to CFA Model, RMSEA= .08~.09. dependence factor variance are explained by this study's CFA model. In conclusion, this study confirms that the scales which this study developed are valid and reliable instrument for Korean university and college students to predict their adaptability to college.
Keywords
Adaptability to College; Drop-out; Academic Persistence; Analysis of Technical Quality; Student Retention;
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Times Cited By KSCI : 1  (Citation Analysis)
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