Centre for Experimental Social Sciences Santiago Short Course
Title: Statistical Analysis and Visualization for small-n Studies
When: Sept. 26-Sept 30, 2016
Where: CESS Santiago, Chile
Instructor: Dominik Duell (University of Essex and IAST, Toulouse)

Description:

Small-N studies come in many forms: cross-country comparisons,
laboratory and field experiments, multi-level investigations, studies
of elite behavior, and more. We often work with sample sizes for which
standard parametric methods building on particular distributional
assumptions and asymptotic theory are not appropriate.

This course introduces methods for data exploration and statistical
analysis of small samples. It combines non-parametric methods with
re-sampling tools and data visualization techniques. Non-parametric
methods require fewer assumptions about the underlying populations to
compute statistics. They can easily be paired with re-sampling methods
to obtain the distribution of statistics in situations where small
samples do not meet distributional assumptions or where the theory
needed to support parametric methods is intractable. Simulation
methods paired with smart data visualizations allow us to meaningfully
explore the raw data itself, to investigate the small sample
properties of estimators, to draw descriptive inference, or to gain
intuitions about which inferences may generalize to the broader
population. The combination of visualization techniques with
non-parametric methods is an ideal stand-alone tool when parametric
statistics are inappropriate and is necessary to make valid inferences
from most experimental data, many multi-level inquiries, and other
applications.

More Information at:
https://cess-nuffield.nuff.ox.ac.uk/cess-santiago-course-statistical-analysis-and-visualization-for-small-n-studies/#1449849619139-368ecbc8-27cd