pie title Grade Distribution
"Assignments" : 40
"Final Project (Oral)" : 15
"Final Project (Written)" : 15
"Class Participation" : 15
"Attendance" : 15
Syllabus
CHC9012: Introduction to Language Questionnaires
📅 Course Schedule
Focus: Ethics & design theory
| Week | Topic | Reading Material | Homework / Due |
|---|---|---|---|
| 1 | Introductory week | None | Mandatory: Take online ethic classes and pass the examination |
| 2 | Ethics in linguistic research | Eckert (2014); Center for Taiwan Academic Research Ethics Education | Read material for Week 3 |
| 3 | Fundamentals of questionnaire design | Abbuhl et al. (2014); Rogers & Révész (2020) | Read material for Week 4 |
| 4 | Paradigms and tools | Schütze & Sprouse (2014); Kaiser (2014) | Read material for Week 5 |
| 5 | Questionnaire items; Q&A | Gillioz & Zufferey (2021) | 1. Write project draft (max 2 pages) 2. Prepare item Excel files 3. Optional: Go through PCIbex tutorial |
| 6 | Group & individual meetings | Design your own questionnaire in classroom | Continue project work |
Focus: PCIbex implementation
| Week | Topic | Focus | Homework / Due |
|---|---|---|---|
| 7 | Presentation of PCIbex | Your first questionnaire; PCIbex documentation & tutorials | None listed |
| 8 | Advanced PCIbex | Multiple items, Latin Square, and other paradigms | 1. Finish ‘Basic Tutorial’ of PCIbex docs 2. Annotate each line of code |
| 9 | Workshop week | Set-up your own questionnaire on PCIbex (In-class meetings) | 1. Finish ‘Advanced Tutorial’ (steps 8-10) 2. Annotate code 3. Prepare PCIbex document of own project |
Focus: R & RStudio
| Week | Topic | Reading (R4DS) | Homework / Due |
|---|---|---|---|
| 10 | Introduction to the R Interface | Intro; Ch 2 (Workflow: basics); Ch 6 (Scripts); Ch 28 (Quarto) | Exercises for next week (provide code before due date) |
| 11 | Import & tidying data (1/2) | Ch 7 (Import); Ch 20 (Spreadsheets); Ch 3 (Data transformation) | Exercises for next week (provide code before due date) |
| 12 | Tidying (2/2) & exploration (1/2) | Ch 5 (Tidy data); Ch 10 (Exploratory Data Analysis) | Exercises for next week (provide code before due date) |
| 13 | Exploration (2/2) & visualization (1/2) | Ch 9 (Layers); Ch 11 (Communication) | Exercises for next week (provide code before due date) |
| 14 | Data visualization (2/2) | Ch 9, 10, 11; Q&A for projects | Prepare a Quarto document of your analysis/visualization (preliminary version) |
| 15 | Project workshop | Assistance for handling results | Work on final presentation |
| 16 | Final presentations | Student presentations of individual/group projects | Final reports |
⚖️ Grading & evaluation
The final grade is distributed as follows:
📝 Assessment details
- Assignments (40%): Regular homework
- Note: 4% will be deducted for each failure to submit homework on time.
- Final project (30%):
- Oral presentation: 15%
- Written report: 15%
- Class discussion (15%): Active participation
- Attendance (15%): Regular presence is required
📚 Resources & software
Online Resources
- Ethics: Center for Taiwan Academic Research Ethics Education
- Platform: PCIbex | Documentation | Forum
- Software: R Project | RStudio Desktop
Key References
- Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for Data Science (2nd ed). O’Reilly Media. Free Online
- Podesva, J., & Sharma, D. (Eds.). (2014). Research methods in linguistics. Cambridge University Press.
- Eckert, P. (Ethics)
- Schütze, C. T., & Sprouse, J. (Judgment data)
- Abbuhl, R., et al. (Experimental design)
- Kaiser, E. (Experimental paradigms)
- Gillioz, C., & Zufferey, S. (2021). Introduction to experimental linguistics. Wiley.
- Rogers, J., & Révész, A. (2020). Experimental and quasi-experimental designs. In The Routledge handbook of research methods in applied linguistics.