สัปดาห์ที่ /ครั้งที่ |
หัวข้อ |
จำนวนชั่วโมง |
อาจารย์ผู้สอน |
บรรยาย |
ปฏิบัติ |
ศึกษาด้วยตัวเอง |
1 |
Variable scale of measurement and variable construction basic assumption of regression model, Population Regression Function, Sample Regression Function assumption of OLS, Simple Regression versus Multiple Regression, |
3 |
0 |
6 |
- |
2 |
Collinearity and Multicollinearity, Interactive effect, Curvilinear Relationship |
3 |
0 |
6 |
- |
3 |
Constrained and Unconstrained Model: test newly added variable has increased explanatory power to the model |
3 |
0 |
6 |
- |
4 |
Discriminant analysis |
3 |
0 |
6 |
- |
5 |
Multiple Classification Analysis (MCA) |
3 |
0 |
6 |
- |
6 |
Introduction to categorical variable analysis Logistic Regression: Restricted and Unrestricted Model (Log likelihood ratio test: LR test), |
3 |
0 |
6 |
- |
7 |
Model Chi-square test, and Adjusted proportional probabilities model |
3 |
0 |
6 |
- |
8 |
Probit: Norbit Regression Model |
3 |
0 |
6 |
- |
9 |
Ordered Logistic Regression and probabilities simulation |
3 |
0 |
6 |
- |
12 |
Count data, Poisson Regression analysis |
3 |
0 |
6 |
- |
10 |
Rational Choice Theory: Multinomial Logistic Regression: Nonlinear Probabilities Model, and Linear Probabilities Model |
3 |
0 |
6 |
- |
11 |
Multinomial logistic regression: Multinomial Cross Procedure and probabilities simulation |
3 |
0 |
6 |
- |
13 |
Influences of Social Context on Humans Behaviors: Multi-level analysis |
3 |
0 |
6 |
- |
14 |
Multilevel analysis: (continue) |
3 |
0 |
6 |
- |
15 |
Multilevel analysis: (continue) part 2 |
3 |
0 |
6 |
- |