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Journals / All Azimuth: A Journal of Foreign Policy and Peace / 2013 / Cilt: 2 - Sayı: 2

Data Quality for Measuring Political Protest and Government Change

Charles Lewis Taylor
Pages
23–29
Publication Date
2013-08-22
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Rather, methods to measure the statistical probability that a sample is appropriate for its targeted universe allow empirical analysis to proceed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:For analyzing protest and government change, data need to be both reliably measured and valid for the task at hand.
📊
Key Findings & Data:Data fundamentalists insist that nothing less than total capture of every event that has taken place is sufficient for analysis.
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Conclusion & Impact:Rather, methods to measure the statistical probability that a sample is appropriate for its targeted universe allow empirical analysis to proceed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Reliability · validity · event indicators

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.

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Cite This Article

Taylor, C. L. (2013). Data Quality for Measuring Political Protest and Government Change. All Azimuth: A Journal of Foreign Policy and Peace, Cilt: 2 - Sayı: 2, 23–29. https://ajindex.com/articles/119777

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