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Course title: Survey Design and Data Analysis (Thiết kế và phân tích dữ liệu khảo sát)
Course code: KTEE209
Faculty: Faculty of International Economics
Department: Research Methodology and Economic Forecasting Division
Credit hours: 3
Prerequisite(s): None
- COURSE OBJECTIVES
The course aims to provide basic knowledge of how to employ primary data in conducting research for students. Students will be introduced to the meaning and benefits of using primary data in quantitative research for specific socio-economic fields especially in international economics contexts. For example, working with survey data to answer research questions in behavioral economics, governance, management, marketing, etc.
The course also aims to guide students to design questionnaires, collect data and process the collected data. To conduct an online survey, students will be introduced to and guided to use one of (but not limited to) online questionnaire design tools such as Google form (free) or Qualtrics, Survey Monkey (30day fully functional trial version) or free trial version (with a limited survey question).
The other objective of the course is guiding students to analyze and evaluate primary data, apply economic/econometric models to analyze data and write reports to answer research questions. Regarding data analysis, students will be introduced and trained to use the appropriate statistical software such as Excel, R (both are free), or paid software that are most suitable for the topic students choose to work with, such as SPSS Amos, Stata, SmartPLS (students can request trial first).
- COURSE CONTENTS AND SCHEDULE
|
No. |
Contents |
Time Allocation |
Contribution to CLO |
|||
|
Hour(s) on the class |
Essays, exercise, Assignments (3) |
Self-study with teacher’s tutorials (4) |
||||
|
Lecture (1) |
Practice, Seminar (2) |
|||||
|
1 |
Chapter 1: Introduction to Survey design and primary data analysis |
3 |
0 |
0 |
5.5 |
CLO1, CLO2 |
|
2 |
Chapter 1: Introduction to Survey design and primary data analysis (cont.) |
3 |
0 |
0 |
5.5 |
CLO1, CLO2, CLO6 |
|
3 |
Chapter 2: Questionnaire design |
3 |
0 |
0 |
5.5 |
CLO1, CLO2, CLO6 |
|
4 |
Chapter 2: Questionnaire design (cont.) |
3 |
0 |
0 |
5.5 |
CLO1, CLO2, CLO3 |
|
5 |
Chapter 2: Questionnaire design (cont.) |
3 |
0 |
0 |
5.5 |
CLO3, CLO4, CLO5 |
|
6 |
Chapter 2: Questionnaire design (cont.) |
3 |
0 |
5 |
5.5 |
CLO1, CLO2, CLO3, CLO6 |
|
7 |
Chapter 2: Questionnaire design (cont.) |
3 |
0 |
0 |
5.5 |
CLO3, CLO4, CLO5, CLO6 |
|
8 |
Chapter 3: Cleaning primary data |
3 |
0 |
0 |
5.5 |
CLO2, CLO4, CLO5, CLO6 |
|
9 |
Chapter 3: Cleaning primary data (cont.) |
3 |
0 |
5 |
5.5 |
CLO1, CLO2, CLO4, CLO5 |
|
10 |
Chapter 4: Primary data analysis |
3 |
0 |
0 |
5.5 |
CLO2, CLO4, CLO5, CLO6 |
|
11 |
Chapter 4: Primary data analysis (cont.) |
3 |
0 |
0 |
5.5 |
CLO2, CLO4, CLO5, CLO6 |
|
12 |
Chapter 4: Primary data analysis (cont.) |
3 |
0 |
5 |
5.5 |
CLO1, CLO2, CLO3, CLO6 |
|
13 |
Chapter 4: Primary data analysis (cont.) |
3 |
0 |
0 |
5.5 |
CLO1, CLO2, CLO3, CLO6 |
|
14 |
Chapter 4: Primary data analysis (cont.) |
3 |
0 |
0 |
5.5 |
CLO2, CLO4, CLO5, CLO6 |
|
15 |
Chapter 4: Primary data analysis (cont.) and course review |
3 |
0 |
7.5 |
5.5 |
CLO1, CLO2, CLO6 |
|
Total (hour) |
45 |
0 |
22.5 |
82.5 |
||
- COURSE ASSESSMENT
- Score ladder: 10
- Type of assessment
|
Form |
Content |
Criteria |
CLO |
Proportion |
|
|
Formative |
Attendance |
- Check Attendance - Answer questions, discuss during class - Quiz in class |
The number of attendances and participation in lesson and number of quizzes finished in class |
1,2,6 |
10% |
|
Exam 1 |
|
+ Define reasonable research questions (2 points) + Build suitable questions and scales (3 points) + Paper survey uses easy-to-understand language and clear format (1 point) + The online survey presents clearly and consistently with paper surveys in terms of both content and presentation form, exploiting most of the functions of online survey channels. (2 points) + Collect at least 50 full responded questionnaires (2 points) Total: 10 points |
2,3,4,5,6 |
10% |
|
|
Mid-term |
Data analysis and report |
+ Report includes main parts (1 point) + Define clear, reasonable and feasible problems (2 points) + Logical analysis, link to real issues/problems (4 points) + Diversify references (1 point) + Follow a consistent citation (1 point) + Creative in presenting report (1 point) Total : 10 points |
3, 4, 5, 6 |
30% |
|
|
Summative |
Final test |
Final exam :
|
+ Correctly answer the True/False questions with clear explanation: 4 points + Correctly answer the multiple choice questions: 6 points
|
1, 2, 6 |
50% |
|
|
|
|
Total: |
100% |
|