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1 - 2 of 2 results for: intlpol 301

INTLPOL 301A: Research Methods and Policy Applications I

The first quarter will cover the fundamentals of probability theory and statistics that students need in order to read, critically evaluate, and undertake policy-relevant quantitative research. Topics covered include random variables, probability distributions and their moments, inference, estimation, hypothesis testing, statistical power, and ordinary least squares regression. We will devote substantial time to "learning by doing" using statistics software. Students will use the R programming language to learn the basics of programming, generate data, manipulate real-world datasets, and demonstrate/visualize theoretical concepts in statistics and mathematics. We will present examples of real-world research and students will evaluate and demonstrate the extent to which it matches up with concepts covered in lecture.
Terms: Aut | Units: 5

INTLPOL 301B: Research Methods and Policy Applications II

We will build on the basic knowledge of statistical methods from the previous quarter to further develop fundamentals for the design, implementation and interpretation of policy-relevant research. We will compare common observational and experimental research methodologies, with significant attention devoted to explaining the details of research design and associated assumptions. Topics include causal inference, the average treatment effect, sample size selection, partial compliance, selection bias and methods for accounting for it. Development of critical reading skills is emphasized through regular discussions of academic journal articles and popular media accounts of research. Practical aspects of undertaking research will also be covered, including efficient and cost-effective data collection, field team supervision, budget management, and ethical considerations. Once again, we will make extensive use of R software.
Terms: Win | Units: 5
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