校務研究

臺北科技大學 115-1 學期課程，課號 366002。

課程大綱

The mission of Institutional Research is to support the evidence-based decision-making in education institutions. Therefore, in this course, the classmates would be asked to learn the programming language to deal with the real data and provide solid evidence to the leadership. You would be asked to fully engage in the data analysis during this semester. By the end of this course, you should be able to conduct complicated data analysis with confidence. Meanwhile, you should be able to provide productive suggestions for your supervisor's consideration. This course not only prepare you as a qualified IR officers. It also lead you as a professional data analytician.

課程進度

Week 1: the introduction of the syllabus and course requirement Week 2: the foundation of Institutional research Week 3: the working environment in Stata Week 4: data cleaning & data manipulation Week 5: Project Task I Week 6: data visualization Week 7: data modeling: multiple regression, logistic regression, quantile regression Week 8: data reporting Week 9: Project Task II Week 10: team work in PIAAC data Week 11: team work in PISA data Week 12: team work in administration record data Week 13: Advanced topic I:panel data, fixed effect and random effect Week 14: Advanced topic II: instrument variable Week 15: quasi-experiment I: Difference in Difference, Synthetic Control Week 16: quasi-experiment II: Regression discontinuity, Coarsened Exact Matching, Propensity Score Method Week 17: Special talk: AI and University Governance Week 18: Special talk: AI and City Governance

評量方式

1.Project task I: 30% 2.Project task II: 30% 3. Project task III: 30% 4. class participation: 10%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Angrist, J. D., & Pischke, J. S. (2008). Mostly harmless econometrics: An empiricist's companion. Princeton university press.