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  NCJ Number: NCJ 240702     Find in a Library
  Title: The Pitfalls of Prediction
  Document URL: HTML PDF 
  Author(s): Greg Ridgeway
  Journal: NIJ Journal  Issue:271  Dated:February 2013  Pages:34 to 40
  Date Published: 02/2013
  Page Count: 7
  Annotation: This article discusses the advantages of using the latest scientific developments to make reliable predictions about crime.
  Abstract: Research has shown that criminal justice researchers, practitioners, analysts, and other stakeholders often make common mistakes in when making predictions about crime and criminals. These common mistakes are 1) trusting expert predictions too much; 2) clinging to what was learned in Statistics 101; 3) assuming one method works best for all problems; 4) trying to interpret too much; 5) forsaking model simplicity for predictive strength – or vice versa; 6) expecting perfect predictions; and 7) failing to consider the unintended consequences of predictions. This article discusses each of these mistakes and how the use of recent scientific developments could be used to avoid them. Some of the ways to avoid these mistake include constructing and using predictive models, be willing to use different prediction methods based on the particular prediction problem, focus on the accuracy of the predictions, and use models that are simple to understand and simple to implement. Figures, table, and notes
  Main Term(s): Prediction
  Index Term(s): Crime control model ; Research methods ; Models ; Crime prediction ; Criminality prediction
  Type: Issue Overview
  Country: United States of America
  Language: English
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=262782

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