Type of Credit: Elective
Credit(s)
Number of Students
This course provides students with an introduction to quantitative methods of empirical research. It covers a variety of topics, including fundamental statistics and data processing, OLS and advanced regression models, as well as survey research.
能力項目說明
| 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 |
Content |
Activities |
Workload |
|
1 (2/21) |
Orientation |
Introduction to the course |
Lecture and Q&A |
3 |
|
2 (2/28) |
National holiday |
|||
|
3 (3/6) |
Descriptive statistics (Dr. Park) |
Descriptive statistics, correlation, chi-square, t-test, ANOVA, ANCOVA, construct, observed item, measurement scale, survey design I |
Lecture, discussion, and practicum (using SPSS) |
6 |
|
4 (3/13) |
Developing a research model (Dr. Park) |
Regression, path analysis, multiple regression, hierarchical regression, mediation vs. moderation, survey design II |
Lecture, discussion, and practicum (using SPSS) |
6 |
|
5 (3/20) |
Validating a research model (Dr. Park) |
Moderated mediation vs. mediated moderation vs. moderation-as-process, factor analysis (EFA vs. CFA) |
Lecture, discussion, and practicum (using SPSS) |
6 |
|
6 (3/27) |
Multivariate analysis (Dr. Park) |
Reliability, convergent and discriminant validity, structural equation model |
Lecture, discussion, and practicum (using AMOS) |
6 |
|
7 (4/3) |
Progress review and test (Dr. Park) |
Exam I |
Data-based quiz |
6 |
|
8 (4/10) |
Flexible learning week |
|||
|
9 (4/17) |
OLS I (Dr. Fu) |
Simple ordinary least square (OLS) regression (Wooldridge Chapter 2) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
10 (4/24) |
OLS II (Dr. Fu) |
Multiple regression analysis (Wooldridge Chapters 3-5) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
11 (5/1) |
OLS III (Dr. Fu) |
Further issues on multiple regression analysis (Wooldridge Chapters 6-8) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
12 (5/8) |
Progress review and consultation (Dr. Fu) |
Exam II |
Consultation |
6 |
|
13 (5/15) |
Flexible learning week |
|||
|
14 (5/22) |
Model specification (Dr. Hsieh) |
Specification issues (Wooldridge Chapter 9) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
15 (5/29) |
Panel data (Dr. Hsieh) |
Panel data methods (Wooldridge Chapters 13, 14) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
16 (6/5) |
Instrument variable (Dr. Hsieh) |
IV regression and 2SLS (Wooldridge Chapter 15) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
17 (6/12) |
Limited dependent variable (Dr. Hsieh) |
Limited DV and sample selection corrections (Wooldridge Chapter 17) |
Lecture, discussion, and practicum (using Stata) |
6 |
|
18 (6/19) |
Final exam |
Exam III |
Closed book exam |
6 |
Exam I: 1/3
Exam II: 1/3
Exam III: 1/3
Absenteeism for more than three times will result in a failing grade.
Wooldridge, J. M. Introductory Econometric: A Modern Approach, Cenage Learning.
| 書名 Book Title | 作者 Author | 出版年 Publish Year | 出版者 Publisher | ISBN | 館藏來源* | 備註 Note |
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