Type of Credit: Elective
Credit(s)
Number of Students
The purpose of this doctoral seminar is to provide students with some exposure to empirical modeling in business.
能力項目說明
After taking this course, students should have an understanding of the various issues surrounding data analysis and model building. More importantly, they would know where to look for reference when modeling issues come up.
教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
---|---|---|
Week |
Topic |
Instructor |
Teaching Activities and Homework |
1 (9/11) |
Course overview and introduction |
Dr. Ho |
|
2 (9/18) |
Theory development |
Dr. Ho |
|
3 (9/25) |
Regression |
Dr. Ho |
|
4 (10/2) |
Generalized linear models: Poisson and logit/probit regression |
Dr. Ho |
|
5 (10/09) |
Moderation and mediation |
Dr. Ho |
|
6 (10/16) |
Causal inference and endogeneity |
Dr. Ho |
|
7 (10/23) |
EXAM I |
Dr. Ho |
|
8 (10/30) |
Advanced methods: choice modeling |
Dr. Ho |
|
9 (11/6) |
Advanced methods: survival modeling |
Dr. Ho |
Homework |
10 (11/13) |
Flexible Week |
||
11 (11/20) |
Research Project Proposal |
Dr. Ho |
|
12 (11/27) |
Survey Design I Chi-square, t-test, ANOVA, ANCOVA |
Dr. Park |
SPSS |
13 (12/4) |
Survey Design II Moderated Mediation vs. Mediated Moderation vs. Moderation-as-process |
Dr. Park |
SPSS |
14 (12/11) |
Survey Design III Factor Analysis (CFA, EFA) Path Analysis |
Dr. Park |
SPSS & AMOS |
15 (12/18) |
Structural Equation Model (SEM) |
Dr. Park |
AMOS |
16 (12/25) |
EXAM II |
Dr. Park |
|
17 (1/1) |
Flexible Week (New Year) |
||
18 (1/8) |
Presentation |
Dr. Ho & Dr. Park |
|
Homeworks
Midterm
Final project/presentation
Class participation
Freedman, D. A. (2009). Statistical models: Theory and practice. Cambridge: Cambridge University Press.
Hair, Joseph, F. Jr., Black, William C. Babin, Barry J., Anderson, Rolph E., and Tatham, Ronald L. (2010). Multivariate Data Analysis, 7th Edition. Englewood Cliffs, NJ: Prentice Hall.
Software: Students are required to use R to complete the assignments.