📖 The Scoop
In 2001, the NSW Bureau of Crime Statistics and Research developed a reoffending database. This database links individuals' criminal court appearance records over time and so enables the measurement of recidivism in NSW. This bulletin describes the results of a validation technique we applied to test the accuracy of the matching processes that underpin the reoffending database. We first describe the development of the reoffending database and the deterministic matching criteria that are its foundation. We then describe the validation technique of applying those deterministic matching criteria to a dataset of individuals with known identities and measuring the number of false positives and false negatives that resulted. The validation results suggest that the error rates in the reoffending database are likely to be acceptably low. Finally we discuss the testing of an additional matching criterion involving residential postcode and recommend its adoption.
Genre: Mathematics / Probability & Statistics / General (fancy, right?)
🤖Next read AI recommendation
Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "Matching Court Records to Measure Reoffending" by Jacqueline Fitzgerald! 📚✨
Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊
Reading Playlist for Matching Court Records to Measure Reoffending
Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚
🎶 A Note About Our Spotify Integration
Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.
Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!
🎲AI Book Insights
Curious about "Matching Court Records to Measure Reoffending" by Jacqueline Fitzgerald? Let our AI librarian give you personalized insights! 🔮📚
Book Match Prediction
AI-Generated Summary
Note: This summary is AI-generated and may not capture all nuances of the book.
