STATA在多變項統計分析
Multivariate Analyses Using STATA
| 節 | 週三 |
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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 (30%), class work (30%), and final paper (40%) Classwork counts for 30% and consists of submitting the Log file for class examples. Final paper due by 23:00 on 11/04/2026 (* temporarily scheduled)
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| 週次 | 主題 |
|---|---|
| 第 1 週 | TOPICS 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 READING Productive Failure: https://www.youtube.com/VOKJmg34wME pg. 84-86 CrossTab: Treiman’s handout; Table 3.3 (pg. 52) Tables 6.1 and 6.2: pg.108; 113-120 (china07.dta) 2026-09-09(三) 時數：[2026-09-09]喬芷(2.00) |
| 第 2 週 | TOPICS Topic 1: Scale construction: abortion example (Validity & reliability) – ex. 2 OLS analysis – ex. 3 (Interactions: Education and Religion) READING [Abortion examples] Tables 11.2-11.5: pg. 250-257 (gss_1984.dta) Table and Figure 6.3: pg.124 -132 (gss_1974.dta) 2026-09-16(三) 時數：[2026-09-16]喬芷(2.00) |
| 第 3 週 | Student Presentation 1 Your idea/Your data 2026-09-23(三) 時數：[2026-09-23]喬芷(2.00) |
| 第 4 週 | TOPICS Home work: Table 5.1: pg.99-101 (optional) (gss_2006.dta) Topic 2: Trend analysis – ex. 4 READING Figure 7.4 & Table 7.1: pg.149-158, GSS (1974 - 1998) data 2026-09-30(三) 時數：[2026-09-30]喬芷(2.00) |
| 第 5 週 | TOPICS Topic 3: Logistic regression model – ex. 5 READING Table 13.3: pg.304-314, GSS (1973-1994) data 2026-10-07(三) 時數：[2026-10-07]喬芷(2.00) |
| 第 6 週 | Special topics: Topic 4: Event history analysis – ex. 6 Topic 5: Interaction READING Figure 13.1 & Table 13.6: pg.318-327 (ggs_1994.dta) 2026-10-14(三) 時數：[2026-10-14]喬芷(2.00) |
| 第 7 週 | TOPICS Topic 6: Multinomial logistic regression - ex.7 Topic 7: Missing data imputation – ex. 8 Topic 8: Multilevel analysis – paper example READING Table 14.1: pg.331-341 (czrgpint.dta) Tables 8.1 and 8.2: pg. 181-194 (rusgpint.dta) 2026-10-21(三) 時數：[2026-10-21]喬芷(2.00) |
| 第 8 週 | Student Presentation 2 Your analysis/Your interpretation 2026-10-28(三) 時數：[2026-10-28]喬芷(2.00) |
| 第 9 週 | Final paper due* * The revision may be applicable for further adjustment 2026-11-04(三) 時數：[2026-11-04]喬芷(2.00) |
| 第 10 週 | 2026-11-11(三) |
| 第 11 週 | 2026-11-18(三) |
| 第 12 週 | 2026-11-25(三) |
| 第 13 週 | 2026-12-02(三) |
| 第 14 週 | 2026-12-09(三) |
| 第 15 週 | 2026-12-16(三) |
| 第 16 週 | 2026-12-23(三) |
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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