Quantitative Data Analysis in Political Science 政治學量化資料分析 （2007 Fall）
- Syllabus [ pdf ]
- Course Meterials:
Weeks |
Files to Download |
Description |
| Week
3 (Oct. 1) |
Wintergreen Collegae Data |
|
| Emacs Installation Guide |
||
| Emacs program files (ready to use). Note:
Make sure that you have installed R in "C:\ProgramFiles"
(no space between words). Next, extract the file and put the
folder "emacs-22.1" in "C:\ProgramFiles".
Find the file "runemacs.exe" in the folder "bin".
|
||
Week 4 (Oct.
8) |
an example file for your practice of using Emacs | |
| Emacs user manual (part 1) and Assignment 1. | ||
| Weeks 5
& 6 (Oct. 15 &22) |
Assignment is due on Oct. 22 by E-mail. | |
| HOW TO import and export data in R | ||
| Dataset 1: TEDS2006C-Kaohsiung (survey dataset for Kaohsiung 2006 Mayoral Election)CodeBook for TEDS2006C-Kaohsiung | ||
| Dataset 2: a dataset including variables on 114 countries (including Taiwan) | ||
| Dataset 3: a dataset including variables on each of the 50 states of the U.S.A. | ||
Week 7 (Oct.
29) |
Examples of probability distributinos | |
| Assignment 2. (due on Nov. 26; turn in hard copies) | ||
Week 8 (Nov.
5) |
HOW TO conduct uni-variate analysis and (re)arrange variables in your dataset. | |
| the Winter College data file used in the R file of this week. | ||
Week 9 (Nov.
12) |
Dataset 4: TEDS2006C-Taipei | |
Week 10 (Nov. 19) |
HOW TO analyze to a relationship between nomial/ordinal variables | |
Week 11 (Nov. 26) |
HOW TO analyze to a relationship between interval/ratio variables | |
Week 12 (Dec.
3) |
First-wave telephone survey data colleted before the 2006 Kaohsiung mayoral election (Dec. 2006). | |
| Second-wave telephone survey data collected after the election (Jan. 2007). | ||
| HOW TO calculate confidence intervals with R | ||
Week 13 (Dec.
10) |
Assignment 3 is due on Dec. 24. | |
| HOW TO conduct T-test with R | ||
| Wintergreen College Data (rda format) | ||
Week 14 & 15 (Dec. 17 & 24) |
HOW TO do linear regression with R | |
| Week 16 &
17
(Dec. 31 & Jan. 7) |
HOW TO do logistic regression with R | |
| Assignment 4 is due on Jan. 14 |