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Comparing Means Among More Than Two Samples: Analysis of Variance

  • David Weisburd
  • Chester Britt
Chapter

Abstract

In chapter 11, we used the t distribution to test hypotheses about means from two independent samples. But what if we are interested in looking at more than two samples at a time? This is a common problem in criminology and criminal justice, where many important questions can be raised across a number of different samples. For example, race is a central concern in criminal justice and criminology, and often it does not make sense to restrict comparisons involving race to just two groups. Similarly, in many criminal justice studies, a number of interventions are compared simultaneously. In such studies, researchers want to compare not just two but three or more means in the context of one statistical test.

Keywords

Criminal Justice Honestly Significant Difference Honestly Significant Difference Test Independent Random Sample Bail Amount 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • David Weisburd
    • 1
    • 2
  • Chester Britt
    • 3
  1. 1.Faculty of Law Institute of CriminologyHebrew University of JerusalemJerusalemIsrael
  2. 2.Department of Criminology, Law and SocietyGeorge Mason UniversityFairfaxUSA
  3. 3.School of Criminology and Criminal JusticeNortheastern UniversityBostonUSA

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