STATA在多變項統計分析
Multivariate Analyses Using STATA
| 節 | 週三 |
|---|---|
5 13:20–14:10 | STATA在多變項統計分析 YS405（陽明） |
* 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 is performed by its research objectives, measurement conceptualization and results interpretation using Stata program.
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Student presentation (50%) and final paper (50%)
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| 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) China Example – ex. 1 |
| 第 2 週 | Topic 1: Scale construction: abortion example (Validity & reliability) – ex. 2 OLS analysis – ex. 3 (Interactions: Education and Religion) |
| 第 3 週 | Student Presentation 1 Your idea/Your data |
| 第 4 週 | Home work: Table 5.1: pg.99-101 (optional) (gss_2006.dta) Topic 2: Trend analysis – ex. 4 |
| 第 5 週 | Topic 3: Logistic regression model – ex. 5 |
| 第 6 週 | Special topics: Topic 4: Event history analysis – ex. 6 Topic 5: Interaction |
| 第 7 週 | Topic 6: Multinomial logistic regression - ex.7 Topic 7: Missing data imputation – ex. 8 Topic 8: Multilevel analysis – paper example |
| 第 8 週 | Student Presentation 2 Your analysis/Your interpretation |
| 第 9 週 | Final paper due |
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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/
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