Elementary Statistics in Social Research
International Edition
11th Edition
Published on 2. April 2009
Book
Paperback/Softback
576 pages
978-0-205-63692-1 (ISBN)
Description
This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.
More details
Edition
11th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 236 mm
Width: 191 mm
Thickness: 20 mm
Weight
880 gr
ISBN-13
978-0-205-63692-1 (9780205636921)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Jack Levin | James Fox | David Forde
Revel Access Code for Elementary Statistics in Social Research, Updated Edition
Software
08/2016
12th Edition
Pearson
€126.66
Article not available at the moment
Jack A. Levin | James Alan Fox | David R. Forde
Elementary Statistics in Social Research
United States Edition
Book
03/2014
12th Edition
Pearson
€222.83
Article exhausted; check for reprint
Previous edition
Jack A. Levin | James Alan Fox
Elementary Statistics in Social Research
Book
11/2005
10th Edition
Pearson
€79.41
Article exhausted; check for reprint
Persons
Jack Levin is the Irving and Betty Brudnick Professor of Sociology at Northeastern University. His research interests include, criminology, murder, prejudice and hate, and social psychology. Dr. Levin's other books include The Violence of Hate, Why We Hate, The Will to Kill: Making Sense of Sensleless Murder (with James Alan Fox), and Extreme Killing: Understanding Serial and Mass Murder (with James Alan Fox).
James Alan Fox is the Lipman Family Professorof Criminal Justice and Professor of Law, Policy, and Society at Northeastern University. He is the author or co-author of sixteen books including Will to Kill and Extreme Killing (both with Jack Levin); winner of the 2007 Hugo Adam Bedau Award for excellence in capital punishment scholarship; and a former Visiting Fellow with the Bureau of Justice Statistics of the U.S. Department of Justice.
David Forde is Professor and Graduate Director in the Department of Criminal Justice at the University of Alabama. His principal research activity has been collecting survey and evaluation data on issues of criminal victimization and trauma. Dr. Forde is a current advisor to the National Institute for Law and Equity and a past advisor to the Memphis Shelby Crime Commission on best practices to reduce crime.
James Alan Fox is the Lipman Family Professorof Criminal Justice and Professor of Law, Policy, and Society at Northeastern University. He is the author or co-author of sixteen books including Will to Kill and Extreme Killing (both with Jack Levin); winner of the 2007 Hugo Adam Bedau Award for excellence in capital punishment scholarship; and a former Visiting Fellow with the Bureau of Justice Statistics of the U.S. Department of Justice.
David Forde is Professor and Graduate Director in the Department of Criminal Justice at the University of Alabama. His principal research activity has been collecting survey and evaluation data on issues of criminal victimization and trauma. Dr. Forde is a current advisor to the National Institute for Law and Equity and a past advisor to the Memphis Shelby Crime Commission on best practices to reduce crime.
Content
IN THIS SECTION:
1.) BRIEF
2.) COMPREHENSIVE
BRIEF TABLE OF CONTENTS:
Chapter 1 Why the Social Researcher Uses Statistics
PART ONE: Description
Chapter 2 Organizing the Data
Chapter 3 Measures of Central Tendency
Chapter 4 Measures of Variability
PART TWO: From Description to Decision Making
Chapter 5 Probability and the Normal Curve
Chapter 6 Samples and Populations
PART THREE: Decision Making
Chapter 7 Testing Differences between Means
Chapter 8 Analysis of Variance
Chapter 9 Nonparametric Tests of Significance
PART FOUR: From Decision Making to Association
Chapter 10 Correlation
Chapter 11 Regression Analysis
Chapter 12 Nonparametric Measures of Correlation
PART FIVE: Applying Statistics
Chapter 13 Choosing Statistical Procedures for Research Problems
APPENDICES
Appendix A Introduction to SPSS
Appendix B A Review of Some Fundamentals of Mathematics
Appendix C Tables
Appendix D List of Formulas
Glossary
Answers to Problems
Index
COMPREHENSIVE TABLE OF CONTENTS:
(All chapters end with Summary, Terms to Remember, and Questions & Problems)
Chapter 1 Why the Social Researcher Uses Statistics
- The Nature of Social Research
- Why Test Hypotheses?
- The Stages of Social Research
- Using Series of Numbers to Do Social Research
- The Functions of Statistics
PART ONE: Description
Chapter 2 Organizing the Data
- Frequency Distributions of Nominal Data
- Comparing Distributions
- Proportions and Percentages
- Ratios and Rates
- Simple Frequency Distributions of Ordinal and Interval Data
- Grouped Frequency Distributions of Interval Data
- Cumulative Distributions
- Percentile Ranks
- Dealing with Decimal Data
- More on Class Limits
- Flexible Class Intervals
- Cross-Tabulations
- Graphic Presentations
Chapter 3 Measures of Central Tendency
- The Mode
- The Median
- The Mean
- Taking One Step at a Time
- Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution
- Comparing the Mode, Median, and Mean
Chapter 4 Measures of Variability
- The Range
- The Inter-Quartile Range
- The Variance and Standard Deviation
- The Raw-Score Formula for Variance and Standard Deviation
- Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution
- The Meaning of the Standard Deviation
- Comparing Measures of Variability
- Visualizing Distributions
PART TWO: From Description to Decision Making
Chapter 5 Probability and the Normal Curve
- Rules of Probability
- Probability Distributions
- The Normal Curve as a Probability Distribution
- Characteristics of the Normal Curve
- The Model and the Reality of the Normal Curve
- The Area under the Normal Curve
- Standard Scores and the Normal Curve
- Finding Probability under the Normal Curve
Chapter 6 Samples and Populations
- Sampling Methods
- Sampling Error
- Sampling Distribution of Means
- Standard Error of the Mean
- Practical and Statistical: Weigh It Again, Sam
- Confidence Intervals
- The t Distribution
- Estimating Proportions
PART THREE: Decision Making
Chapter 7 Testing Differences between Means
- The Null Hypothesis: No Difference between Means
- The Research Hypothesis: A Difference between Means
- Sampling Distribution of Differences between Means
- Testing Hypotheses with the Distribution of Differences between Means
- Levels of Significance
- Standard Error of the Difference between Means
- Testing the Difference between Means
- Comparing Related Samples
- Two Sample Test of Proportions
- One-Tailed Tests
- Requirements for Testing the Difference between Means
Chapter 8 Analysis of Variance
- The Logic of Analysis of Variance
- The Sum of Squares
- Mean Square
- The F Ratio
- A Multiple Comparison of Means
- Two-Way Analysis of Variance
- Requirements for Using the F Ratio
Chapter 9 Nonparametric Tests of Significance
- One-Way Chi-Square Test
- Two-Way Chi-Square Test
- The Median Test
PART FOUR: From Decision Making to Association
Chapter 10 Correlation
- Strength of Correlation
- Direction of Correlation
- Curvilinear Correlation
- The Correlation Coefficient
- Pearson's Correlation Coefficient
- The Importance of Scatter Plots
- Partial Correlation
Chapter 11 Regression Analysis
- The Regression Model
- Interpreting the Regression Line
- Prediction Errors
- Regression and Pearson's Correlation
- Regression and Analysis of Variance
- Multiple Regression
- Logistic Regression
Chapter 12 Nonparametric Measures of Correlation
- Spearman's Rank-Order Correlation Coefficient
- Goodman's and Kruskal's Gamma
- Correlation Coefficient for Nominal Data Arranged in a 2 ? 2 Table
- Correlation Coefficients for Nominal Data in Larger than 2 X 2 Tables
PART FIVE: Applying Statistics
Chapter 13 Choosing Statistical Procedures for Research Problems
- Research Situations
- Research Solutions
APPENDICES
Appendix A Introduction to SPSS
Appendix B A Review of Some Fundamentals of Mathematics
Appendix C Tables
Appendix D List of Formulas
Glossary
Answers to Problems
Index
1.) BRIEF
2.) COMPREHENSIVE
BRIEF TABLE OF CONTENTS:
Chapter 1 Why the Social Researcher Uses Statistics
PART ONE: Description
Chapter 2 Organizing the Data
Chapter 3 Measures of Central Tendency
Chapter 4 Measures of Variability
PART TWO: From Description to Decision Making
Chapter 5 Probability and the Normal Curve
Chapter 6 Samples and Populations
PART THREE: Decision Making
Chapter 7 Testing Differences between Means
Chapter 8 Analysis of Variance
Chapter 9 Nonparametric Tests of Significance
PART FOUR: From Decision Making to Association
Chapter 10 Correlation
Chapter 11 Regression Analysis
Chapter 12 Nonparametric Measures of Correlation
PART FIVE: Applying Statistics
Chapter 13 Choosing Statistical Procedures for Research Problems
APPENDICES
Appendix A Introduction to SPSS
Appendix B A Review of Some Fundamentals of Mathematics
Appendix C Tables
Appendix D List of Formulas
Glossary
Answers to Problems
Index
COMPREHENSIVE TABLE OF CONTENTS:
(All chapters end with Summary, Terms to Remember, and Questions & Problems)
Chapter 1 Why the Social Researcher Uses Statistics
- The Nature of Social Research
- Why Test Hypotheses?
- The Stages of Social Research
- Using Series of Numbers to Do Social Research
- The Functions of Statistics
PART ONE: Description
Chapter 2 Organizing the Data
- Frequency Distributions of Nominal Data
- Comparing Distributions
- Proportions and Percentages
- Ratios and Rates
- Simple Frequency Distributions of Ordinal and Interval Data
- Grouped Frequency Distributions of Interval Data
- Cumulative Distributions
- Percentile Ranks
- Dealing with Decimal Data
- More on Class Limits
- Flexible Class Intervals
- Cross-Tabulations
- Graphic Presentations
Chapter 3 Measures of Central Tendency
- The Mode
- The Median
- The Mean
- Taking One Step at a Time
- Obtaining the Mode, Median, and Mean from a Simple Frequency Distribution
- Comparing the Mode, Median, and Mean
Chapter 4 Measures of Variability
- The Range
- The Inter-Quartile Range
- The Variance and Standard Deviation
- The Raw-Score Formula for Variance and Standard Deviation
- Obtaining the Variance and Standard Deviation from a Simple Frequency Distribution
- The Meaning of the Standard Deviation
- Comparing Measures of Variability
- Visualizing Distributions
PART TWO: From Description to Decision Making
Chapter 5 Probability and the Normal Curve
- Rules of Probability
- Probability Distributions
- The Normal Curve as a Probability Distribution
- Characteristics of the Normal Curve
- The Model and the Reality of the Normal Curve
- The Area under the Normal Curve
- Standard Scores and the Normal Curve
- Finding Probability under the Normal Curve
Chapter 6 Samples and Populations
- Sampling Methods
- Sampling Error
- Sampling Distribution of Means
- Standard Error of the Mean
- Practical and Statistical: Weigh It Again, Sam
- Confidence Intervals
- The t Distribution
- Estimating Proportions
PART THREE: Decision Making
Chapter 7 Testing Differences between Means
- The Null Hypothesis: No Difference between Means
- The Research Hypothesis: A Difference between Means
- Sampling Distribution of Differences between Means
- Testing Hypotheses with the Distribution of Differences between Means
- Levels of Significance
- Standard Error of the Difference between Means
- Testing the Difference between Means
- Comparing Related Samples
- Two Sample Test of Proportions
- One-Tailed Tests
- Requirements for Testing the Difference between Means
Chapter 8 Analysis of Variance
- The Logic of Analysis of Variance
- The Sum of Squares
- Mean Square
- The F Ratio
- A Multiple Comparison of Means
- Two-Way Analysis of Variance
- Requirements for Using the F Ratio
Chapter 9 Nonparametric Tests of Significance
- One-Way Chi-Square Test
- Two-Way Chi-Square Test
- The Median Test
PART FOUR: From Decision Making to Association
Chapter 10 Correlation
- Strength of Correlation
- Direction of Correlation
- Curvilinear Correlation
- The Correlation Coefficient
- Pearson's Correlation Coefficient
- The Importance of Scatter Plots
- Partial Correlation
Chapter 11 Regression Analysis
- The Regression Model
- Interpreting the Regression Line
- Prediction Errors
- Regression and Pearson's Correlation
- Regression and Analysis of Variance
- Multiple Regression
- Logistic Regression
Chapter 12 Nonparametric Measures of Correlation
- Spearman's Rank-Order Correlation Coefficient
- Goodman's and Kruskal's Gamma
- Correlation Coefficient for Nominal Data Arranged in a 2 ? 2 Table
- Correlation Coefficients for Nominal Data in Larger than 2 X 2 Tables
PART FIVE: Applying Statistics
Chapter 13 Choosing Statistical Procedures for Research Problems
- Research Situations
- Research Solutions
APPENDICES
Appendix A Introduction to SPSS
Appendix B A Review of Some Fundamentals of Mathematics
Appendix C Tables
Appendix D List of Formulas
Glossary
Answers to Problems
Index