Statistics in criminal justice
Author(s)
Bibliographic Information
Statistics in criminal justice
Springer, c2007
3rd ed
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
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  United States of America
Note
Includes index
Description and Table of Contents
Description
NEW AND REVISED THIRD EDITION
This book introduces basic statistics and statistical concepts, with each chapter building in sophistication to prepare for the concepts that follow. Emphasizing comprehension and interpretation over computation, the book still takes a serious approach to statistics, tailored to the real world of crime and justice. The updated and expanded 3rd edition includes additional chapter-end exercises; expanded computer exercises that can be performed in the Student Version of SPSS; extended discussion of multivariate regression models, including interaction and non-linear effects; a new chapter on multinomial and ordinal logistic regression models, designed for comprehension and interpretation; and new material on multivariate regression models.
"One course that students always put off until they are nearing the completion of their degree requirements is statistics. The fear is that the material is either too difficult or the book doesn’t make sense. Although as teachers we can do little about the former, we can do much about the latter, and Weisburd and Britt have done just that. Statistics in Criminal Justice is precisely the book I wish I learned statistics with when I was a student. It presents readers with the basic tools needed to be a consumer and user of criminal justice research, includes many examples spanning a wide range of criminal justice/criminological topics, and the end-of-chapter study questions and computer exercises reinforce key concepts. To the authors’ credit, this text goes even farther by introducing the reader to more advanced forms of regression-based analyses. As such, the book can and should be read by undergraduate students starting off in higher education, graduate students embarking on their academic careers, and even seasoned faculty who every now and again need to recall a formula or brush up on some matters. After reading Statistics in Criminal Justice, I am sure you will join me in thanking these two first-rate scholars for taking the time to teach us statistics in an enjoyable and effective manner."
-Alex R. Piquero, Presidential Scholar & Professor, University of Maryland-College Park
Table of Contents
Introduction: Statistics as a Research Tool.- Measurement: The Basic Building Block of Research.- Representing and Displaying Data.- Describing the Typical Case: Measures of Central Tendency.- How Typical Is the Typical Case?: Measuring Dispersion.- The Logic of Statistical Inference: Making Statements About Populations from Sample Statistics.- Defining the Observed Significance Level of a Test: A Simple Example Using the Binomial Distribution.- Steps in a Statistical Test: Using the Binomial Distribution to Make Decisions About Hypotheses.- Chi-Square: A Test Commonly Used for Nominal-Level Measures.- The Normal Distribution and Its Application to Tests of Statistical Significance.- Comparing Means and Proportions in Two Samples.- Comparing Means Among More Than Two Samples: Analysis of Variance.- Measures of Association for Nominal and Ordinal Variables.- Measuring Association for Interval-Level Data: Pearson's Correlation Coefficient.- An Introduction to Bivariate Regression.- Multivariate Regression.- Multivariate Regression: Additional Topics.- Logistic Regression.- Multivariate Regression with Multiple Category Nominal or Ordinal Measures: Extending the Basic Logistic Regression Model.- Special Topics: Confidence Intervals.- Special Topics: Statistical Power.
by "Nielsen BookData"