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Elementary Statistics in Social Research Jack A. Levin

Elementary Statistics in Social Research By Jack A. Levin

Elementary Statistics in Social Research by Jack A. Levin


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Elementary Statistics in Social Research Summary

Elementary Statistics in Social Research: United States Edition by Jack A. Levin

This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.

About Jack A. Levin

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.

Table of Contents

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


Additional information

CIN0205570690A
9780205570690
0205570690
Elementary Statistics in Social Research: United States Edition by Jack A. Levin
Used - Well Read
Hardback
Pearson Education (US)
20090406
576
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

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