When to trust the numbers: Informed data consumption

15-17 February 2021 | Executive seminar

Effective managers increasingly need to understand quantitative analysis. Quantitative methods are frequently employed in all types of social analysis from business to government because they can isolate and estimate the magnitude of a single effect on an outcome when multiple variables are at play. This precision cannot be offered by alternative methods such as case studies or uncontrolled comparison. Also, unlike many alternative methods, quantitative analysis can quantify the degree of uncertainty in its estimates. Many methods are available to quantify effects, establish causality and find patterns, each entailing different trade-offs and potential pitfalls.

This course will provide an overview of several new trends in data analysis and provide participants with a non-technical introduction to the most commonly used methods. Students will learn to discern properly designed and estimated models from flawed work. In short, they will complete this course with an enhanced ability to know when to (and when not to) believe the numbers.

Instructor

  • Mark Kayser , Professor of Applied Methods and Comparative Politics