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%) Final paper due by 23:59 on 11/07/2023 (temporarily assigned)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course overviewBivariate analysis & Regression analysis[Review] comments, cross-tabulation, ANOVA, correlation, OLS regressionHome 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 | Student presentation Your idea/Your data |
| 第 4 週 | Trend analysis Logistic regression models |
| 第 5 週 | Double Tenth Day (revise first presentation and prepare for multivariate analysis) |
| 第 6 週 | Special topics: [1] Event history analysis [2] Interaction [3] Multinomial logistic regression model |
| 第 7 週 | [4] Missing data imputation [5] Multilevel analysis |
| 第 8 週 | Student presentation Your analysis/Your interpretation |
| 第 9 週 | Review/Final paper |
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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/