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NCJRS Abstract

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  NCJ Number: NCJ 241722     Find in a Library
  Title: Pick Your Poisson: A Tutorial on Analyzing Counts of Student Victimization Data
  Document URL: HTML 
  Author(s): Francis L. Huang ; Dewey G. Cornell
  Journal: Journal of School Violence  Volume:11  Issue:3  Dated:July - September 2012  Pages:187 to 206
  Date Published: 07/2012
  Page Count: 20
  Annotation: This research examined how Poisson-based regression techniques can be applied to school violence research.
  Abstract: School violence research is often concerned with infrequently occurring events such as counts of the number of bullying incidents or fights a student may experience. Analyzing count data using ordinary least squares regression may produce improbable predicted values, and as a result of regression assumption violations, result in higher Type I errors. Count data are optimally analyzed using Poisson-based regression techniques such as Poisson or negative binomial regression. We apply these techniques to an example study of bullying in a statewide sample of 290 high schools and explain how Poisson-based analyses, although less familiar to many researchers, can produce findings that are more accurate and reliable, and are easier to interpret in real-world contexts. Abstract published by arrangement with Taylor and Francis.
  Main Term(s): Juvenile victims
  Index Term(s): Violence ; Data analysis ; Schools ; Regression analysis ; Victimization models ; Bullying
  Type: Report (Study/Research)
  Country: United States of America
  Language: English
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=263813

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