STATA在多變項統計分析
Multivariate Analyses Using STATA
| 節 | 週二 |
|---|---|
3 10:10–11:00 | STATA在多變項統計分析 YS405 |
* 根據陽明交大上課時間表所列
This is an advanced course designed for the graduate students who have basic knowledge of STATA as well as his/her data ready for the final paper. In addition to Stata application, the students also learn how to interpret the findings. Specifically speaking, each statistical application will be preformed by its research objectives, measurement conceptualization and results interpretation using Stata program.
Grading: Student presentation (50%) and final paper (50%)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course overview Bivariate analysis & Regression analysis [Review] comments, cross-tabulation, ANOVA, correlation, OLS regression Home work: Table 2.13 (pg.39-42) (optional) |
| 第 2 週 | Scale construction: abortion example Validity & reliability, OLS analysis Home work: Table 5.1: pg.99-101 (gss_2006.dta) |
| 第 3 週 | Continued 9/20 Scale construction: abortion example Validity & reliability, OLS analysis Home work: Table 5.1: pg.99-101 (gss_2006.dta) |
| 第 4 週 | Student presentation Your idea/Your data |
| 第 5 週 | Special topics: [1] Trend analysis [2] Logistic regression model [3] Event history analysis [4] Interaction [5] Multinomial logistic regression model [6] Missing data imputation [7] Multilevel analysis |
| 第 6 週 | Continued 10/11 Special topics: [1] Trend analysis [2] Logistic regression model [3] Event history analysis [4] Interaction [5] Multinomial logistic regression model [6] Missing data imputation [7] Multilevel analysis |
| 第 7 週 | Continued 10/18 Special topics: [1] Trend analysis [2] Logistic regression model [3] Event history analysis [4] Interaction [5] Multinomial logistic regression model [6] Missing data imputation [7] Multilevel analysis |
| 第 8 週 | Student presentation Your analysis/Your interpretation |
| 第 9 週 | Review/Final paper due |
Donald J Treiman. Quantitative Data Analysis: Doing Social Research to Test Ideas. Sophia Rabe-Hesketh. Multilevel and Longitudinal Modeling Using Stata. Second Edition. Jossey-Bass. 2012: https://ccpr.ucla.edu/dtreiman/#doctoral-students-ph-d Stata files: https://ccpr.ucla.edu/donald-treiman-quantitative-data-analysis-stata-files-and-data-sets/