Korea University Department of Education

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Major Courses

HOME Graduate Courses Major Courses

Educational Measurement and Statistics)

  1. EDU 636 Analysis of Variance & Regression [3]

    2. This course covers essential topics in ANOVA and regression including independent sample designs, repeated design, interaction in ANOVA, multiple regression, variable selection method, dummy and effect coding, ANCOVA, moderation and mediation models. SPSS lab sessions will be provided.

  2. EDU 680 Meta Analysis [3]

    3. Effect sizes will be computed from various statistical results and combined using fixed-effect and random-effect models.

  3. EDU 681 Structural Equation Modeling [3]

    4. This course covers theory and methods of testing models of covariance structures, model development, parameter estimation, goodness of fit, model modification, model comparison procedure, and the use of computer programs such as AMOS.

  4. EDU 691 Categorical Data Analysis [3]

    5. Generalized Linear Models will be covered for analyzing dichotomous, polytomous, ordinal, and count variable.

  5. EDU 694 Educational Statistics Theories [3]

    6. Fundamental theories including logics of hypothesis testing and estimation methods will be covered for understanding educational statistics.

  6. EDU 752 Multilevel Analysis [3]

    7. The purpose of this course is to learn the basic concepts and the theories of multilevel models. A typical example of multilevel data is a data structure where individuals are nested within groups. Using this method, an interaction between individuals and groups can be studied.

  7. EDU 753 Longitudinal Study Methodology [3]

    8. In this course, students can learn methods of estimating individual change trajectories and testing correlates of the change patterns. Multilevel models and latent growth models will be covered.

  8. EDU 754 Generalizability Theory and Multifacet Models [3]

    9. Methods for minimizing rater effects and controlling for rater bias will be introduced using Generalizability Theory and Multifacet Models.

  9. EDU 755 Network Analysis for Education Research [3]

    10. Adolescents' psychological status and behaviors will be understood on the basis of social network analysis.

  10. EDU 757 Multivariate Analysis [3]

    11. Multivariate techniques such as MANOVA, cluster analysis, discriminant analysis, multidimensional scaling will be covered.

  11. EDU 880 Advanced Statistic Methods in Education [3]

    12. Examination of conceptual, substantive, and methodological issues in inferential statistics

  12. EDU 871 Item Response Theory [3]

    13. Examination of item response theory, applications to educational achievement tests, item bias, test information, test equating, computerized adaptive testing.

  13. EDU 872 Psychological Measurement Theories [3]

    14. Based on the basic statistics, theories on test construction and uses as well as test scores and scales will be discussed.

  14. EDU 824 Educational Measurement & Statistics Seminar [3]

    15. New theories in the fields of educational measurement and statistics will be covered.

  15. EDU 889 Seminar in Contemporary Educational Statistics Theories [3]

    16. Recent theories in educational statistics will be covered.

  16. EDU 969 Seminar in Contemporary Educational Measurement Theories [3]

    17. Recent theories in educational measurement will be covered.