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Determinants of student course evaluation using hierarchical linear model
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위계적 선형모형을 이용한 강의평가 결정요인 분석

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Academic journal
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Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.24 No.6 KCI Excellent Accredited Journal
Published
2013.12
Pages
1,285 - 1,296 (12page)

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Determinants of student course evaluation using hierarchical linear model
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The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.

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UCI(KEPA) : I410-ECN-0101-2018-041-001384172