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Statistics for Criminology and Criminal Justice Ronet D. Bachman

Statistics for Criminology and Criminal Justice By Ronet D. Bachman

Statistics for Criminology and Criminal Justice by Ronet D. Bachman

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Summary

Helping students to overcome their dread of statistics, see the importance of statistical analysis, and understand how it will apply to their future careers, this book highlights the integral role research and statistics play in the study of criminology and criminal justice

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Statistics for Criminology and Criminal Justice Summary

Statistics for Criminology and Criminal Justice by Ronet D. Bachman

Packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available, students not only learn how to perform and understand statistical analyses, but also recognize the connection between statistical analyses use in everyday life and its importance to criminology and criminal justice.

The authors continue to facilitate learning by presenting statistical formulas with step-by-step instructions for calculation. This how to calculate and interpret statistics approach avoids complicated proofs and discussions of statistical theory, without sacrificing statistical rigor. The Fourth Edition is replete with new examples exploring key issues in today's world, motivating students to investigate research questions related to criminal justice and criminology with statistics and conduct research of their own along the way.

This edition will also be accompanied by a SAGE Edge site.

New to this edition:

  • Includes current crime data and new research examples
  • New learning objectives guide students through each chapter, reinforcing the most important concepts for students to understand before proceeding to the next chapter.
  • New SPSS exercises that correspond to relevant chapter material give students hand-on experience using real data

Statistics for Criminology and Criminal Justice Reviews

The book is clear and easy to follow. All the material I would cover in my undergraduate stats class is presented in the book...When I teach both the undergraduate and graduate level statistics in the same semester this would be the ideal book to use. I could use it for both courses just cover all of the material in the graduate level course. That would allow me really to prep just one instead of two courses.

-- Shelly A. McGrath

This is a very good statistics book; it is user-friendly, logically structured, and provides novel information that is not available in other comparable textbooks.

-- Viviana Andreescu

Case studies provide interesting and relevant examples that make concepts easier to understand.

-- Sara Z. Evans, PhD.

Good discussion of the basics of hypothesis testing (which can be hard to clearly convey to students)

-- Christopher J Sullivan

[Statistical Methods for Criminology and Criminal Justice is an] excellent introductory text to basic applied statistics. The authors did a successful job in blending theory and application in this textbook. The practical examples and exercises included in the text are very helpful to the students

-- Fawn T. Ngo

Detailed and systematic presentation of statistical concepts

-- Gary Sweeten

About Ronet D. Bachman

Ronet Bachman, PhD, is a Professor in the Department of Sociology and Criminal Justice at the University of Delaware. She is coauthor of Statistical Methods for Crime and Criminal Justice, coauthor of The Practice of Research in Criminology and Criminal Justice, co-editor of Explaining Crime and Criminology: Essays in Contemporary Criminal Theory. In addition, she is author of Death and Violence on the Reservation; coauthor of Stress, Culture, and Aggression in the United States; and coauthor of Murder American Style as well as numerous articles and papers that examine the epidemiology and etiology of violence, with a particular emphasis on women, the elderly, and minority populations. Her most recent federally funded research examines the desistance trajectories of drug-involved offenders 10 years after release from prison using a mixed-method design. Raymond Paternoster, Ph.D., is a professor in the Department of Criminology and Criminal Justice at the University of Maryland. He received his B.A. in sociology at the University of Delaware where he was introduced to criminology by Frank Scarpitti and obtained his Ph.D. at Florida State University under the careful and dedicated tutelage of Gordon Waldo and Ted Chiricos. He is coauthor of The Death Penalty: America's Experience with Capital Punishment. In addition to his interest in statistics, he also pursues questions related to offender decision making and rational choice theory, desistance from crime, and capital punishment. With funding from the National Institute of Justice (NIJ), he is currently working on research comparing the decision-making patterns and characteristics of a sample of serious adult offenders and a comparable group of community members.

Table of Contents

CHAPTER 1: THE PURPOSE OF STATISTICS IN THE CRIMINOLOGICAL SCIENCES SETTING THE STAGE FOR STATISTICAL INQUIRY THE ROLE OF STATISTICAL METHODS IN CRIMINOLOGY AND CRIMINAL JUSTICE POPULATIONS AND SAMPLES HOW DO WE OBTAIN A SAMPLE? PROBABILITY SAMPLING TECHNIQUES NONPROBABILITY SAMPLING TECHNIQUES DESCRIPTIVE AND INFERENTIAL STATISTICS VALIDITY IN CRIMINOLOGY RESEARCH PART 1: Univariate Analysis: Describing Variable Distributions CHAPTER 2: LEVELS OF MEASUREMENT AND AGGREGATION LEVELS OF MEASUREMENT WAYS OF PRESENTING VARIABLE UNITS OF ANALYSIS CHAPTER 3: UNDERSTANDING DATA DISTRIBUTIONS THE TABULAR AND GRAPHICAL DISPLAY OF QUALITATIVE DATA THE SHAPE OF A DISTRIBUTION TIME PLOTS CHAPTER 4: MEASURES OF CENTRAL TENDENCY THE MODE THE MEDIAN THE MEAN CHAPTER 5: MEASURES OF DISPERSION MEASURING DISPERSION FOR NOMINAL- AND ORDINAL-LEVEL VARIABLES MEASURING DISPERSION FOR INTERVAL- AND RATIO-LEVEL VARIABLES THE STANDARD DEVIATION AND VARIANCE COMPUTATIONAL FORMULAS FOR VARIANCE AND STANDARD DEVIATION GRAPHING DISPERSION WITH EXPLORATORY DATA ANALYSIS (EDA) PART 2: Making Inferences in Univariate Analysis: Generalizing From a Sample to the Population CHAPTER 6: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND AN INTRODUCTION TO HYPOTHESIS TESTING PROBABILITY. WHAT IS IT GOOD FOR? ABSOLUTELY EVERYTHING! THE RULES OF PROBABILITY PROBABILITY DISTRIBUTIONS A DISCRETE PROBABILITY DISTRIBUTION-THE BINOMIAL DISTRIBUTION HYPOTHESIS TESTING WITH THE BINOMIAL DISTRIBUTION A CONTINUOUS PROBABILITY DISTRIBUTION-THE STANDARD NORMAL DISTRIBUTION SAMPLES, POPULATIONS, SAMPLING DISTRIBUTIONS, AND THE CENTRAL LIMIT THEOREM CHAPTER 7: POINT ESTIMATION AND CONFIDENCE INTERVALS MAKING INFERENCES FROM POINT ESTIMATES: COFIDENCE INTERVALS PROPERTIES OF GOOD ESTIMATES ESTIMATING A POPULATION MEAN FROM LARGE SAMPLES ESTIMATING CONFIDENCE INTERVALS FOR A MEAN FROM SMALL SAMPLES ESTIMATING CONFIDENCE INTERVALS FOR PROPORTIONS AND PERCENTS WITH A LARGE SAMPLE CHAPTER 8: FROM ESTIMATION TO STATISTICAL TESTS: HYPOTHESIS TESTING FOR ONE POPULATION MEAN AND PROPORTION HYPOTHESIS TESTING FOR POPULATION MEANS USING A LARGE SAMPLE: THE z TEST DIRECTIONAL AND NONDIRECTIONAL HYPOTHESIS TESTS HYPOTHESIS TESTING FOR POPULATION MEANS USING SMALL SAMPLES: THE t TEST HYPOTHESIS TESTING FOR POPULATION PROPORTIONS AND PERCENTS USING LARGE SAMPLES PART 3: Bivariate Analysis: Relationships Between Two Variables CHAPTER 9: TESTING HYPOTHESIS WITH CATEGORICAL DATA CONTINGENCY TABLES AND THE TWO VARIABLE CHI-SQUARE TEST OF INDEPENDENCE THE CHI-SQUARE TEST OF INDEPENDENCE A SIMPLE-TO-USE COMPUTATIONAL FORMULA FOR THE CHI-SQUARE TEST OF INDEPENDENCE MEASURES OF ASSOCIATION: DETERMINING THE STRENGTH OF THE RELATIONSHIP BETWEEN TWO CATEGORICAL VARIABLES CHAPTER 10: HYPOTHESIS TESTS INVOLVING TWO POPULATION MEANS OR PROPORTIONS EXPLAINING THE DIFFERENCE BETWEEN TWO SAMPLE MEANS SAMPLING DISTRIBUTION OF MEAN DIFFERENCES TESTING A HYPOTHESIS ABOUT THE DIFFERENCE BETWEEN TWO MEANS: INDEPENDENT SAMPLES MATCHED-GROUPS OR DEPENDENT SAMPLES t TEST HYPOTHESIS TESTS FOR THE DIFFERENCE BETWEEN TWO PROPORTIONS: LARGE SAMPLES CHAPTER 11: HYPOTHESIS TESTING INVOLVING THREE OR MORE POPULATION MEANS: ANALYSIS OF VARIANCE THE LOGIC OF ANALYSIS OF VARIANCE TYPES OF VARIANCE: TOTAL, BETWEEN-GROUPS, AND WITHIN-GROUP CONDUCTING A HYPOTHESIS TEST WITH ANOVA AFTER THE F TEST: TESTING THE DIFFERENCE BETWEEN PAIRS OF MEANS A MEASURE OF ASSOCIATION WITH ANOVA A SECOND ANOVA EXAMPLE: CASELOAD SIZE AND SUCCESS ON PROBATION A THIRD ANOVA EXAMPLE: REGION OF THE COUNTRY AND HOMICIDE CHAPTER 12: BIVARIATE CORRELATION AND REGRESSION GRAPHING THE BIVARIATE DISTRIBUTION BETWEEN TWO QUANTITATIVE VARIABLES: SCATTERPLOTS THE PEARSON CORRELATION COEFFICIENT A MORE PRECISE WAY TO INTERPRET A CORRELATION: THE COEFFICIENT OF DETERMINATION THE LEAST-SQUARES REGRESSION LINE AND SLOPE COEFFICIENT COMPARISON OF b AND r TESTING FOR THE SIGNIFICANCE OF b AND r THE PROBLEMS OF LIMITED VARIATION, NONLINEAR RELATIONSHIPS, AND OUTLIERS IN THE DATA PART 4: Multivariate Analysis: Relationships Between More Than Two Variables CHAPTER 13: CONTROLLING FOR A THIRD VARIABLE: MULTIPLE OLS REGRESSION WHAT DO WE MEAN BY CONTROLLING FOR OTHER IMPORTANT VARIABLES? THE MULTIPLE REGRESSION EQUATION COMPARING THE STRENGTH OF A RELATIONSHIP USING BETA WEIGHTS PARTIAL CORRELATION COEFFICIENTS HYPOTHESIS TESTING IN MULTIPLE REGRESSION ANOTHER EXAMPLE: PRISON DENSITY, MEAN AGE, AND RATE OF INMATE VIOLENCE CHAPTER 14: REGRESSION WITH A DICHOTOMOUS DEPENDENT VARIABLE: LOGIT MODELS ESTIMATING AN OLS REGRESSION MODEL WITH A DICHOTOMOUS DEPENDENT VARIABLE-THE LINEAR PROBABILITY MODEL THE LOGIT REGRESSION MODEL WITH ONE INDEPENDENT VARIABLE MULTIPLE LOGISTIC REGRESSION: MODELS WITH TWO INDEPENDENT VARIABLES APPENDIX A: Review of Basic Mathematical Operations APPENDIX B: Statistical Tables APPENDIX C: Solutions for Odd-Numbered Practice Problems

Additional information

CIN1506326102VG
9781506326108
1506326102
Statistics for Criminology and Criminal Justice by Ronet D. Bachman
Ronet D. Bachman
Used - Very Good
Paperback
SAGE Publications Inc
20160404
544
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Statistics for Criminology and Criminal Justice