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Statistics for Social Understanding

A Problems-Based Approach, Second Edition

Nancy E. Whittier; Tina Wildhagen and Howard J. Gold

Statistics for Social Understanding introduces statistics as it’s used in the social sciences—as a tool for advancing understanding of the social world. The authors provide thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use both SPSS and Stata software, giving students the ability to analyze data and explore exciting questions. “In Depth” boxes encourage critical thinking by tackling tricky statistical queries, and each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems. All problems have been accuracy-checked by an outside panel of reviewers. Readily available datasets for classroom use include material from institutions such as the American National Election Study, General Social Survey, World Values Survey, and the School Survey on Crime and Safety. Statistics for Social Understanding is accompanied by a learning package, written entirely by author Tina Wildhagen, that is designed to enhance the experience of both instructors and students.

  • Details
  • Details
  • Author
  • Author
  • TOC
  • TOC
  • Reviews
  • Reviews
  • Features
  • Features
  • Resources
  • Resources
Rowman & Littlefield Publishers
Pages: 714 • Trim: 8¼ x 10¼
978-1-5381-7592-7 • Hardback • August 2024 • $220.00 • (£169.00)
978-1-5381-7593-4 • Paperback • August 2024 • $100.00 • (£77.00)
978-1-5381-7594-1 • eBook • August 2024 • $90.00 • (£69.00)
Subjects: Social Science / Statistics
Courses: Sociology; Theory & Methods; Statistics

Nancy E. Whittier is Sophia Smith Professor of Sociology at Smith College. She has taught statistics and research methods for over 30 years, and also teaches classes on gender, sexuality, and social movements. She is the author of Frenemies: Feminists, Conservatives, and Sexual Violence (Oxford University Press, 2018), The Politics of Child Sexual Abuse: Emotions, Social Movements, and the State (Oxford University Press, 2009), Feminist Generations (Temple, 1995), and numerous articles on social movements, gender, and sexual violence, and is co-editor of Feminist Frontiers (10th edition, Rowman & Littlefield, 2020, with Verta Taylor and Leila Rupp).

Tina Wildhagen is Associate Professor of Sociology at Smith College. She has taught statistics and quantitative research methods for 15 years, and also teaches courses on privilege and power in American education and inequality in higher education. Her research and teaching focus on social inequality in the American education system and on first-generation college students. Her work appears in various scholarly journals, including The Sociological Quarterly, Sociological Perspectives, The Teachers College Record, The Journal of Negro Education and Sociology Compass.

Howard J. Gold is Professor of Government at Smith College. He has taught statistics for over 30 years, and also teaches courses on American elections, public opinion and the media, and political behavior. His research focuses on voting behavior, partisanship, and third parties. He is the co-author (with Donald Baumer) of Parties, Polarization and Democracy in the United States and author of Hollow Mandates: American Public Opinion and the Conservative Shift. His work has also appeared in American Politics Quarterly, Political Research Quarterly, Polity, Public Opinion Quarterly and the Social Science Journal.

Chapter 1 Introduction 
Why Study Statistics? 
Research Questions and the Research Process 
Pinning Things Down: Variables and Measurement 
Units of Analysis 
Measurement Error: Validity and Reliability 
Levels of Measurement 
Causation: Independent and Dependent Variables 
Getting the Data: Sampling and Generalizing
Sampling Methods 
Sources of Secondary Data: Existing Data Sets, Reports, and “Big Data” 
Big Data
Growth Mindset and Math Anxiety 
Using This Book
Statistical Software
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 2 Getting to Know Your Data
Frequency Distributions
Percentages and Proportions
Cumulative Percentage and Percentile
Percent Change
Rates and Ratios
Rates
Ratios
Working with Frequency Distribution Tables
Missing Values
Simplifying Tables by Collapsing Categories

Graphical Displays of a Single Variable: Bar Graphs, Pie Charts, Histograms, Stem-and-Leaf Plots, and Frequency Polygons
Bar Graphs and Pie Charts 
Histograms
Stem-and-Leaf-Plots
Frequency Polygons

Time Series Charts
Comparing Two Groups On the Same Variable Using Tables, Graphs, and Charts
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 3 Examining Relationships between Two Variables
Cross-Tabulations and Relationships between Variables
Independent and Dependent Variables
Column, Row, and Total Percentage
s
Interpreting the Strength of Relationships
Interpreting the Direction of Relationships
Graphical Representations of Bivariate Relationships
Chapter Summary
Using Stata
Using SPSS
Practice Problems


Chapter 4 Typical Values in a Group
What Does It Mean to Describe What Is Typical?
Mean
Median
Mode
Finding the Mode, Median, and Mean in Frequency Distributions
Choosing the Appropriate Measure of Central Tendency
Median Versus Mean Income
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 5 The Diversity of Values in a Group
Range
Interquartile Range
Standard Deviation
Using the Standard Deviation to Compare Distributions
Comparing Apples and Oranges
Skewed Versus Symmetric Distributions
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 6 Probability and the Normal Distribution

The Rules of Probability
The Addition Rule
The Complement Rule

The Multiplication Rule with Independence
The Multiplication Rule without Independence
Applying the Multiplication Rule with Independence to the “Linda” and “Birth-Order” Probability Problems

The Normal Distribution
Standardizing Variables and Calculating Z-Scores
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 7 From Sample to Population
Repeated Sampling, Sample Statistics, and the Population Parameter
Sampling Distributions
Finding the Probability of Obtaining A Specific Sample Statistic
Estimating the Standard Error from a Known Population Standard Deviation
Finding and Interpreting the Z-Score for Sample Means
Finding and Interpreting the Z-Score for Sample Proportions

The Impact of Sample Size On the Standard Error
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 8 Estimating Population Parameters
Inferential Statistics and the Estimation of Population Parameters
Confidence Intervals Manage Uncertainty Through Margins of Error
Certainty and Precision of Confidence Intervals
Confidence Intervals for Proportions
Constructing a Confidence Interval for Proportions: Examples
Confidence Intervals for Means
The t-Distribution
Calculating Confidence Intervals for Means: Examples

The Relationship Between Sample Size and Confidence Interval Range
The Relationship Between Confidence Level and Confidence Interval Range
Interpreting Confidence Intervals
How Big a Sample?
Assumptions for Confidence Intervals
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 9 Differences between Samples and Populations
The Logic of Hypothesis Testing
Null Hypotheses (H0) and Alternative Hypotheses (Ha)
One-Tailed and Two-Tailed Tests

Hypothesis Tests for Proportions
The Steps of the Hypothesis Test
One-Tailed and Two-Tailed Tests
Hypothesis Tests for Means
Example: Testing a Claim about a Population Mean
Error and Limitations: How Do We Know We are Correct?
Type I and Type II Errors
What Does Statistical Significance Really Tell Us? Statistical and Practical Significance 
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 10 Comparing Groups
Two-Sample Hypothesis Tests
The Logic of the Null Hypothesis and Alternative Hypothesis in Two-Sample Tests
Notation for Two-Sample Tests
The Sampling Distribution for Two-Sample Tests

Hypothesis Tests for Differences Between Means
Confidence Intervals for Differences Between Means
Hypothesis Tests for Differences Between Proportions
Confidence Intervals for Differences Between Proportions
Statistical and Practical Significance in Two-Sample Tests
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 11 Testing Mean Differences among Multiple Groups
Comparing Variation Within and Between Groups
Hypothesis Testing Using Anova
Analysis of Variance Assumptions
Determining Which Means are Different: Post-Hoc Tests
Anova Compared to RepeateD t-Tests
Chapter Summary 
Using Stata
Using SPSS
Practice Problems

Chapter 12 Testing the Statistical Significance of Relationships in Cross-Tabulations
The Logic of Hypothesis Testing with Chi-Square
The Steps of a Chi-Square Test
Size and Direction of Effects: Analysis of Residuals
Example: Gender and Perceptions of Health
Assumptions of Chi-Square
Statistical Significance and Sample Size
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 13 Ruling Out Competing Explanations for Relationships between Variables
Criteria for Causal Relationships
Modeling Spurious Relationships
Modeling Non-Spurious Relationships
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Chapter 14 Describing Linear Relationships between Variables
Correlation Coefficients
Calculating Correlation Coefficients
Scatterplots: Visualizing Correlations
Regression: Fitting a Line to a Scatterplot
The “Best-Fitting” Line
Slope and Intercept
Calculating the Slope and Intercept
Goodness-of-Fit Measures
R-Squared (r2)
Standard Error of Prediction
Dichotomous (“Dummy”) Independent Variables
Multiple Regression
Statistical Inference for Regression
The F-Statistic
Standard Error of the Slope

Assumptions of Regression
Chapter Summary
Using Stata
Using SPSS
Practice Problems

Solutions to Odd Numbered Practice Problems
Glossary
Appendix A Normal Table
Appendix B Table of t-Values
Appendix C F-Table, for Alpha = .05
Appendix D Chi-Square Table
Appendix E Selected List of Formulas
Appendix F Choosing Tests for Bivariate Relationships
Index

“This text offers an intuitive, thorough introduction to quantitative social science research, grounding theory and mathematics with a practical, do-it-yourself approach that integrates two of the major statistical software packages directly into the text. It uses visualizations and interesting examples to make this material equally appealing to introductory-level undergraduates and graduate students taking their first steps into statistical analysis.”


— Benjamin Cole, Simmons College


“This is a textbook that works both for a professor teaching the course for the first time and needs a how-to manual, or the experienced professor who uses the textbook to compliment in-class lectures. The textbook never reaches beyond the level of the audience and is perfect for an introductory social science statistics course.”


— Brian William Smith, St. Edward's University in Austin


“Statistics for Social Understanding provides an introduction to quantitative research methods that presents detailed information in an intuitive and straightforward manner. This approach emphasizes the importance of application, which should encourage students to see the importance and relevance of content throughout the course.”


— Michael Morgan, Marietta College


  • Incorporates real-world research from institutions such as the American National Election Study, General Social Survey, and World Values Survey to bring statistics to life
  • Takes a problem-based approach that targets questions students are invested in to boost engagement
  • Balances conceptual learning with software use so that students learn to reason quantitatively
  • Practice Problems, Stata Problems, and SPSS Problems at the end of every chapter allow students to test their knowledge. Solutions to Odd-Numbered Questions are answered in the back of the book.
  • Accompanied by a robust set of instructor and resources including an instructor’s manual, classroom activities, and a test bank created by author Tina Wildhagen


FOR PROFESSORS
Ancillary Materials are available for this title. For access to these professor use only materials, please Sign-In if you are a registered user, or Register then email us at rltextbooks@bloomsbury.com
Instructor's Manual. For each chapter, this valuable resource provides a variety of tools such as lecture outlines, student learning objectives, discussion questions, and other resources to simplify classroom preparation.
Test Bank. The Test Bank includes a variety of test questions and is available in either Word or PDF formats. For every chapter in the text, the Test Bank includes a complete test with a variety of question types, including multiple choice, true false, and essay formats.
To use our Test Bank in Word or PDF, please Sign-In if you are a registered user, or Register then email us at rltextbooks@bloomsbury.com
Lecture Notes. The Lecture Notes provide the tables and figures from the text.

Statistics for Social Understanding

A Problems-Based Approach, Second Edition

Cover Image
Hardback
Paperback
eBook
Summary
Summary
  • Statistics for Social Understanding introduces statistics as it’s used in the social sciences—as a tool for advancing understanding of the social world. The authors provide thorough coverage of social science statistical topics, a balanced approach to calculation, and step-by-step directions on how to use both SPSS and Stata software, giving students the ability to analyze data and explore exciting questions. “In Depth” boxes encourage critical thinking by tackling tricky statistical queries, and each chapter concludes with a chapter summary, a section on using Stata, a section on using SPSS, and practice problems. All problems have been accuracy-checked by an outside panel of reviewers. Readily available datasets for classroom use include material from institutions such as the American National Election Study, General Social Survey, World Values Survey, and the School Survey on Crime and Safety. Statistics for Social Understanding is accompanied by a learning package, written entirely by author Tina Wildhagen, that is designed to enhance the experience of both instructors and students.

Details
Details
  • Rowman & Littlefield Publishers
    Pages: 714 • Trim: 8¼ x 10¼
    978-1-5381-7592-7 • Hardback • August 2024 • $220.00 • (£169.00)
    978-1-5381-7593-4 • Paperback • August 2024 • $100.00 • (£77.00)
    978-1-5381-7594-1 • eBook • August 2024 • $90.00 • (£69.00)
    Subjects: Social Science / Statistics
    Courses: Sociology; Theory & Methods; Statistics
Author
Author
  • Nancy E. Whittier is Sophia Smith Professor of Sociology at Smith College. She has taught statistics and research methods for over 30 years, and also teaches classes on gender, sexuality, and social movements. She is the author of Frenemies: Feminists, Conservatives, and Sexual Violence (Oxford University Press, 2018), The Politics of Child Sexual Abuse: Emotions, Social Movements, and the State (Oxford University Press, 2009), Feminist Generations (Temple, 1995), and numerous articles on social movements, gender, and sexual violence, and is co-editor of Feminist Frontiers (10th edition, Rowman & Littlefield, 2020, with Verta Taylor and Leila Rupp).

    Tina Wildhagen is Associate Professor of Sociology at Smith College. She has taught statistics and quantitative research methods for 15 years, and also teaches courses on privilege and power in American education and inequality in higher education. Her research and teaching focus on social inequality in the American education system and on first-generation college students. Her work appears in various scholarly journals, including The Sociological Quarterly, Sociological Perspectives, The Teachers College Record, The Journal of Negro Education and Sociology Compass.

    Howard J. Gold is Professor of Government at Smith College. He has taught statistics for over 30 years, and also teaches courses on American elections, public opinion and the media, and political behavior. His research focuses on voting behavior, partisanship, and third parties. He is the co-author (with Donald Baumer) of Parties, Polarization and Democracy in the United States and author of Hollow Mandates: American Public Opinion and the Conservative Shift. His work has also appeared in American Politics Quarterly, Political Research Quarterly, Polity, Public Opinion Quarterly and the Social Science Journal.

Table of Contents
Table of Contents
  • Chapter 1 Introduction 
    Why Study Statistics? 
    Research Questions and the Research Process 
    Pinning Things Down: Variables and Measurement 
    Units of Analysis 
    Measurement Error: Validity and Reliability 
    Levels of Measurement 
    Causation: Independent and Dependent Variables 
    Getting the Data: Sampling and Generalizing
    Sampling Methods 
    Sources of Secondary Data: Existing Data Sets, Reports, and “Big Data” 
    Big Data
    Growth Mindset and Math Anxiety 
    Using This Book
    Statistical Software
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 2 Getting to Know Your Data
    Frequency Distributions
    Percentages and Proportions
    Cumulative Percentage and Percentile
    Percent Change
    Rates and Ratios
    Rates
    Ratios
    Working with Frequency Distribution Tables
    Missing Values
    Simplifying Tables by Collapsing Categories

    Graphical Displays of a Single Variable: Bar Graphs, Pie Charts, Histograms, Stem-and-Leaf Plots, and Frequency Polygons
    Bar Graphs and Pie Charts 
    Histograms
    Stem-and-Leaf-Plots
    Frequency Polygons

    Time Series Charts
    Comparing Two Groups On the Same Variable Using Tables, Graphs, and Charts
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 3 Examining Relationships between Two Variables
    Cross-Tabulations and Relationships between Variables
    Independent and Dependent Variables
    Column, Row, and Total Percentage
    s
    Interpreting the Strength of Relationships
    Interpreting the Direction of Relationships
    Graphical Representations of Bivariate Relationships
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems


    Chapter 4 Typical Values in a Group
    What Does It Mean to Describe What Is Typical?
    Mean
    Median
    Mode
    Finding the Mode, Median, and Mean in Frequency Distributions
    Choosing the Appropriate Measure of Central Tendency
    Median Versus Mean Income
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 5 The Diversity of Values in a Group
    Range
    Interquartile Range
    Standard Deviation
    Using the Standard Deviation to Compare Distributions
    Comparing Apples and Oranges
    Skewed Versus Symmetric Distributions
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 6 Probability and the Normal Distribution

    The Rules of Probability
    The Addition Rule
    The Complement Rule

    The Multiplication Rule with Independence
    The Multiplication Rule without Independence
    Applying the Multiplication Rule with Independence to the “Linda” and “Birth-Order” Probability Problems

    The Normal Distribution
    Standardizing Variables and Calculating Z-Scores
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 7 From Sample to Population
    Repeated Sampling, Sample Statistics, and the Population Parameter
    Sampling Distributions
    Finding the Probability of Obtaining A Specific Sample Statistic
    Estimating the Standard Error from a Known Population Standard Deviation
    Finding and Interpreting the Z-Score for Sample Means
    Finding and Interpreting the Z-Score for Sample Proportions

    The Impact of Sample Size On the Standard Error
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 8 Estimating Population Parameters
    Inferential Statistics and the Estimation of Population Parameters
    Confidence Intervals Manage Uncertainty Through Margins of Error
    Certainty and Precision of Confidence Intervals
    Confidence Intervals for Proportions
    Constructing a Confidence Interval for Proportions: Examples
    Confidence Intervals for Means
    The t-Distribution
    Calculating Confidence Intervals for Means: Examples

    The Relationship Between Sample Size and Confidence Interval Range
    The Relationship Between Confidence Level and Confidence Interval Range
    Interpreting Confidence Intervals
    How Big a Sample?
    Assumptions for Confidence Intervals
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 9 Differences between Samples and Populations
    The Logic of Hypothesis Testing
    Null Hypotheses (H0) and Alternative Hypotheses (Ha)
    One-Tailed and Two-Tailed Tests

    Hypothesis Tests for Proportions
    The Steps of the Hypothesis Test
    One-Tailed and Two-Tailed Tests
    Hypothesis Tests for Means
    Example: Testing a Claim about a Population Mean
    Error and Limitations: How Do We Know We are Correct?
    Type I and Type II Errors
    What Does Statistical Significance Really Tell Us? Statistical and Practical Significance 
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 10 Comparing Groups
    Two-Sample Hypothesis Tests
    The Logic of the Null Hypothesis and Alternative Hypothesis in Two-Sample Tests
    Notation for Two-Sample Tests
    The Sampling Distribution for Two-Sample Tests

    Hypothesis Tests for Differences Between Means
    Confidence Intervals for Differences Between Means
    Hypothesis Tests for Differences Between Proportions
    Confidence Intervals for Differences Between Proportions
    Statistical and Practical Significance in Two-Sample Tests
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 11 Testing Mean Differences among Multiple Groups
    Comparing Variation Within and Between Groups
    Hypothesis Testing Using Anova
    Analysis of Variance Assumptions
    Determining Which Means are Different: Post-Hoc Tests
    Anova Compared to RepeateD t-Tests
    Chapter Summary 
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 12 Testing the Statistical Significance of Relationships in Cross-Tabulations
    The Logic of Hypothesis Testing with Chi-Square
    The Steps of a Chi-Square Test
    Size and Direction of Effects: Analysis of Residuals
    Example: Gender and Perceptions of Health
    Assumptions of Chi-Square
    Statistical Significance and Sample Size
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 13 Ruling Out Competing Explanations for Relationships between Variables
    Criteria for Causal Relationships
    Modeling Spurious Relationships
    Modeling Non-Spurious Relationships
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Chapter 14 Describing Linear Relationships between Variables
    Correlation Coefficients
    Calculating Correlation Coefficients
    Scatterplots: Visualizing Correlations
    Regression: Fitting a Line to a Scatterplot
    The “Best-Fitting” Line
    Slope and Intercept
    Calculating the Slope and Intercept
    Goodness-of-Fit Measures
    R-Squared (r2)
    Standard Error of Prediction
    Dichotomous (“Dummy”) Independent Variables
    Multiple Regression
    Statistical Inference for Regression
    The F-Statistic
    Standard Error of the Slope

    Assumptions of Regression
    Chapter Summary
    Using Stata
    Using SPSS
    Practice Problems

    Solutions to Odd Numbered Practice Problems
    Glossary
    Appendix A Normal Table
    Appendix B Table of t-Values
    Appendix C F-Table, for Alpha = .05
    Appendix D Chi-Square Table
    Appendix E Selected List of Formulas
    Appendix F Choosing Tests for Bivariate Relationships
    Index

Reviews
Reviews
  • “This text offers an intuitive, thorough introduction to quantitative social science research, grounding theory and mathematics with a practical, do-it-yourself approach that integrates two of the major statistical software packages directly into the text. It uses visualizations and interesting examples to make this material equally appealing to introductory-level undergraduates and graduate students taking their first steps into statistical analysis.”


    — Benjamin Cole, Simmons College


    “This is a textbook that works both for a professor teaching the course for the first time and needs a how-to manual, or the experienced professor who uses the textbook to compliment in-class lectures. The textbook never reaches beyond the level of the audience and is perfect for an introductory social science statistics course.”


    — Brian William Smith, St. Edward's University in Austin


    “Statistics for Social Understanding provides an introduction to quantitative research methods that presents detailed information in an intuitive and straightforward manner. This approach emphasizes the importance of application, which should encourage students to see the importance and relevance of content throughout the course.”


    — Michael Morgan, Marietta College


Features
Features
    • Incorporates real-world research from institutions such as the American National Election Study, General Social Survey, and World Values Survey to bring statistics to life
    • Takes a problem-based approach that targets questions students are invested in to boost engagement
    • Balances conceptual learning with software use so that students learn to reason quantitatively
    • Practice Problems, Stata Problems, and SPSS Problems at the end of every chapter allow students to test their knowledge. Solutions to Odd-Numbered Questions are answered in the back of the book.
    • Accompanied by a robust set of instructor and resources including an instructor’s manual, classroom activities, and a test bank created by author Tina Wildhagen


Resources
Resources
  • FOR PROFESSORS
    Ancillary Materials are available for this title. For access to these professor use only materials, please Sign-In if you are a registered user, or Register then email us at rltextbooks@bloomsbury.com
    Instructor's Manual. For each chapter, this valuable resource provides a variety of tools such as lecture outlines, student learning objectives, discussion questions, and other resources to simplify classroom preparation.
    Test Bank. The Test Bank includes a variety of test questions and is available in either Word or PDF formats. For every chapter in the text, the Test Bank includes a complete test with a variety of question types, including multiple choice, true false, and essay formats.
    To use our Test Bank in Word or PDF, please Sign-In if you are a registered user, or Register then email us at rltextbooks@bloomsbury.com
    Lecture Notes. The Lecture Notes provide the tables and figures from the text.

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