Data Quality for Measuring Political Protest and Government Change

Abstract

For analyzing protest and government change, data need to be both reliably measured and valid for the task at hand. Data fundamentalists insist that nothing less than total capture of every event that has taken place is sufficient for analysis. That scenario is, of course, an impossibility. Rather, methods to measure the statistical probability that a sample is appropriate for its targeted universe allow empirical analysis to proceed.