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Essentials of Social Research Methods
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Essentials of Social Research Methods

August 2026 | 480 pages | SAGE Publications, Inc
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How do you teach the foundations of social science research in a way that's rigorous, relevant, and engaging for undergraduates? Best-selling author H. Russell Bernard and award-winning professor Amber Wutich provide the answer in Essentials of Social Research Methods. This practical, student-focused text walks learners through every step of the research process—from framing questions to writing up results—without oversimplifying. Unique chapters on preparing for research and designing studies offer a strong conceptual foundation, while integrated ethical guidance ensures students understand the real-world implications of their work. With its applied approach and emphasis on critical thinking, this book equips students to conduct and consume research thoughtfully and confidently.
 
Preface
 
About the Author
 
Chapter 1: What is Social Science Research?
Introduction

 
What is Social Science Research?

 
Ethics and Social Science

 
The Language and Logic of Social Research

 
Variables: The Joy of Measurement

 
Concepts and Variables

 
Conceptual and Operational Definitions

 
Levels of Measurement

 
Validity, Reliability, Accuracy, and Precision

 
Is My Measure Any Good? Determining Validity

 
The Problem with Validity

 
The Bottom Line

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 2: Preparing For Research
Setting Things Up

 
Ethics of Social Research

 
Theory—Explanation and Prediction

 
There is no list of Research Questions

 
The Literature Search

 
Meta-analysis

 
Key Concepts in this Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 3: Research Design
Introduction: What is Research Design?

 
About Numbers and Words: The Qualitative/Quantitative Split

 
Cause and Effect

 
Units of Analysis

 
Three Decisions in Research Design

 
The Eight Types of Research Design

 
Mixed-methods Research Designs

 
Participatory & Action Research

 
The Components of a Research Design

 
The Art of Proposal Writing

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 4: Experiments
The Logic of the Experimental Method

 
Internal and External Validity

 
Controlling for Threats to Validity

 
Factorial Designs: Main Effects and Interaction Effects

 
True Experiments in the Lab

 
Field Experiments

 
Comparative Field Experiments

 
Are Field Experiments Ethical?

 
Thought Experiments

 
Natural Experiments

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 5: Probability Sampling
What Are Samples and Why Do We Need Them?

 
Sampling Frames

 
Response Rates: What They Are & How to Calculate Them

 
Simple Random Sampling

 
Systematic Random Sampling

 
Stratified Random Sampling

 
Disproportionate Stratified Random Sampling

 
Cluster Sampling

 
Probability Proportionate to Size

 
How Big Should a Sample Be?

 
Power Analysis

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 6: Nonprobability Sampling
Introduction

 
Six Reasons to Use a Non-Probability Sample

 
Four Common and Two Uncommon Types of Non-Probability Samples

 
Minimum Sample Sizes for 10 Qualitative Analysis Methods

 
And Finally . . .

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 7: Interviewing And Focus Groups
The Big Picture

 
Interview Control

 
Unstructured Interviewing

 
Probing

 
Learning to Interview

 
Positionality & Presentation of Self

 
Using a Voice Recorder

 
Using Visual Cues, like Photos, in Interviews

 
Focus Groups

 
Response Effects

 
Respondent/Informant Accuracy

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 8: Survey Research
Introduction

 
Closed- Versus Open-Ended Questions

 
Fourteen Rules for Question Wording and Format

 
Pretesting and Cognitive Interviewing

 
On-the-Fly Translation and Back Translation

 
Methods for Collecting Questionnaire Data

 
Improving Response Rates: Dillman’s Total Design Method

 
Cross-Sectional and Longitudinal Studies

 
Some Specialized Survey Methods

 
Survey Methods for Threatening Questions

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 9: Collecting Social Network Data
Social Network Analysis

 
Two Kinds of Social Networks

 
Collecting Whole (Sociocentric) Network Data

 
Collecting Personal (Egocentric) Network Data

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 10: Fieldwork: Direct And Participant Observation
Introduction

 
Direct Observation in the Wild

 
Reactive Observation: Continuous Monitoring and Spot Sampling

 
Spot Sampling

 
Unobtrusive Observation

 
Disguised Field Observation

 
Indirect Observation

 
Participant Observation

 
Different Roles in Participant Observation

 
Doing Participant Observation

 
The Skills of a Participant Observer

 
Objectivity

 
Insider Research: Studying Your Own Culture

 
Gender, Parenting, and Other Personal Characteristics

 
Surviving Fieldwork

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 11: Analyzing Qualitative Data
Part 1. Discourse Analysis

 
Conversation Analysis

 
Narrative Analysis

 
Phenomenological Analysis of Narratives

 
Language in Use

 
Critical Discourse Analysis: Language and Power

 
Part 2. Grounded Theory

 
Part 3. Content Analysis

 
Intercoder Reliability

 
Automated Content Analysis: Content Dictionaries

 
AI and Text Analysis

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 12: Analyzing Quantitative Data
Part 1: Univariate & Bivariate Analysis

 
Univariate Analysis: Raw Data

 
Frequency Distributions

 
Measures of Central Tendency

 
Outliers and Skewness

 
Visualizing Data

 
Measuring Dispersion: Standard Deviation

 
The Logic of Hypothesis Testing

 
Testing Univariate Hypotheses: Chi-Square Tests

 
Testing Relations: Bivariate Analysis

 
Comparing Two Means: The t Test

 
Comparing Multiple Variables: ANOVA—Analysis of Variance

 
Correlations between Variables: Regression

 
Advantages and disadvantages of r and r^2

 
Part 2: Multivariate Analysis

 
Car Wrecks and Teenage Births

 
Multiple Regression

 
Factor Analysis

 
How to Decide What to Test

 
Part 3: Social Network Analysis

 
The Data Matrix: A Foundation of Social Network Analysis

 
The One-Mode or Relational Matrix

 
The Two-Mode or Profile Matrix

 
Analyzing Social Network Data

 
Visualizing Networks

 
Five Kinds of Questions You Can Answer with Network Analysis

 
Analyzing Whole (Sociocentric) Network Data

 
Analyzing Personal (Egocentric) Network Data

 
Key Concepts in This Chapter

 
Summary

 
Exercises

 
Further Reading

 
 
Chapter 13: On Writing Up
Introduction

 
Getting Your Article Published

 
Rule 1: There is no substitute for good ideas and good research

 
TIPS & TRICKS: Write every article with an audience in mind

 
Rule 2: Do a publication feasibility assessment

 
Amber’s Corner: Learning to Write Well

 
TIPS & TRICKS: Don’t be afraid to write in teams

 
TIPS & TRICKS: Run your work through a plagiarism scanner

 
TIPS & TRICKS: Research habits matter, citation software doesn’t

 
Amber’s Corner: Overcoming rejection

 
TIPS & TRICKS: Right-size your rejection rate

 
 
References
 
Index
Key features
  • Opening objectives and introductions in each chapter make it easier to understand, at a glance, what's coming.
  • All new terms appear in bold the first time they appear and are featured on the "Key Concepts in This Chapter" page to aid studying.
  • Two additional study aids at the end of each chapter include a summary of the main points and a series of exercises illustrating the key takeaways.
  • Each chapter ends with recommendations for further reading from both social science methods classics and more recent examples, further highlighting the key points in each chapter.
  • "Amber’s Corner" and "Russ's Corner" boxes allow the authors to report on their own experiences in doing research, while "Tips & Tricks" and "Deep Dives" boxes feature advice from their teaching of research methods.

Sample Materials & Chapters

160301_book_item_160301.pdf