1 |
Cho, J. S. (2013). Determinants of student course evaluation using hierarchical linear model. Journal of the Korean Data & Information Science Society, 24, 1-12.
DOI
|
2 |
Cho, K. H. and Jung, C. Y. (2014). Factors affecting the determinants of employment decision making of vocational high school senior students. The Society of Korean Agricultural Education, 46, 73-102.
|
3 |
Im, S. H. (2002). Multilevel models for cross-sectional approach to the developmental research. Journal of Educational Evaluation, 15, 295-315.
|
4 |
Im, S. H., Sung, J. H. and Won, S. H. (2014). Efficient strategy for the genetic analysis of related samples with a linear mixed model. Journal of the Korean Data & Information Science Society, 25, 1025-1038.
DOI
|
5 |
Jang, H. J. and Lee, J. H. (2012). Determinants of the specialized vocational high school student's career choice using hierarchical generalized linear model. Journal of Vocational Education & Training, 15, 51-74.
|
6 |
Jeon, M. J. and Kang, S. J. (2005). A comparison of multilevel models in their parameter estimation-The comparison of 2-level HLM, 3-level HLM, and CMM. Journal of Education Evaluation, 18, 123-147.
|
7 |
Kang, S. J. (1998). Analytical comparisons between classical linear models and multilevel models as educational and social research methods. Journal of Educational Evaluation, 11, 207-258.
|
8 |
Lee, J. H. and Jung, C. Y. (2010). Variables associated with employment barriers of specialized vocational high school students. The Society of Korean Agricultural Education, 42, 25-47.
|
9 |
Lee, S. C. and Joo, H. J. (2013). The effects of specialized vocational high school characteristics on student employment: Utilizing HGLM model. Journal of Employment and Skills Development, 16, 59-82.
|
10 |
Nasser, F. and Hagtvet, K. A. (2006). Multilevel analysis of the effects of studentand instructor/course characteristics on student ratings. Research in Higher Education, 47, 559-590.
DOI
|
11 |
Park, S. I. and Cho, J. S. (2015). Determinants of employee's wage using hierarchical linear model. Journal of the Korean Data & Information Science Society, 26, 65-75.
DOI
|
12 |
Raudenbush, S. W. and Bryk, A. S. (2002). Hierarchical linear models : Applications and data analysis methods, SAGE publication, San Francisco.
|