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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. Beside the paper questionnaire, students will be introduced to and guided to use one of (but not limit 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. The module also equips students with skills of how to use appropriate software to process and analyze data after the survey such as Excel, R (free), SPSS Amos, Stata, SmartPLS (trial version for students).
- COURSE CONTENTS
No.
Contents
Time Allocation
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
6
2
Chapter 1: Introduction to Survey design and Analysis (cont.)
3
6
3
Chapter 2: Questionnaire design
3
6
4
Chapter 2: Questionnaire design (cont.)
3
6
5
Chapter 2: Questionnaire design (cont.)
3
1.5
6
Chapter 2: Questionnaire design (cont.)
3
5
6
7
Chapter 2: Questionnaire design (cont.)
3
1.5
8
Chapter 3: Cleaning data
2
1
4.5
9
Chapter 3: Cleaning data (cont.)
1
2
5
3
10
Chapter 4: Data analysis
1
2
3
11
Chapter 4: Data analysis (cont.)
2
1
4.5
12
Chapter 4: Data analysis (cont.)
3
5
6
13
Chapter 4: Data analysis (cont.)
3
6
14
Chapter 4: Data analysis (cont.)
3
1.5
15
Chapter 4:Data analysis (cont.) and course review
3
7.5
6
Total (hour)
30
15
22.5
67.5
- COURSE ASSESSMENT
- Score ladder: 10
- Type of assessment
Form
Content
Criteria
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
10%
Exam 1
- Group work
- Form: Design questionnaire both online and paper-based one (using Google form and/or Qualtrics)
+ 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
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 consitent citation (1 point)
+ Creative in presenting report (1 point)
Total : 10 points
30%
Summative
Final test
Final exam :
- Form: Short answers and multiple choice test in 60 mins
+ Correctly answer the True/False questions with clear explanation: 4 points
+ Correctly answer the multiple choice questions: 6 points
50%
100%