ISBN-10:
0199946752
ISBN-13:
2900199946753
Pub. Date:
06/29/2015
Publisher:
Oxford University Press
Process of Social Research / Edition 1

Process of Social Research / Edition 1

by Jeffrey C. Dixon

Paperback

View All Available Formats & Editions
Current price is , Original price is $94.95. You
Select a Purchase Option (New Edition)
  • purchase options
    $22.34 $94.95 Save 76% Current price is $22.34, Original price is $94.95. You Save 76.47182727751448%.
    • Free return shipping at the end of the rental period details
    • Textbook Rentals in 3 Easy Steps  details
    icon-error
    Note: Access code and/or supplemental material are not guaranteed to be included with textbook rental or used textbook.
  • purchase options
    $48.94 $94.95 Save 48% Current price is $48.94, Original price is $94.95. You Save 48%.
    icon-error
    Note: Access code and/or supplemental material are not guaranteed to be included with textbook rental or used textbook.

Product Details

ISBN-13: 2900199946753
Publisher: Oxford University Press
Publication date: 06/29/2015
Edition description: New Edition
Pages: 512
Product dimensions: 7.40(w) x 9.20(h) x 0.80(d)

About the Author

Jeffrey C. Dixon is Associate Professor of Sociology at the College of the Holy Cross.

Royce A. Singleton, Jr., is Professor Emeritus of Sociology at the College of the Holy Cross.

Bruce C. Straits is Professor Emeritus of Sociology at the University of California, Santa Barbara.

Table of Contents

Preface

Chapter 1. Introduction: Why Care About Research Methods?
The Process of Social Research
Four Facebook Studies
—An Experiment
—A Survey
—A Field Research Study
—An Analysis of Existing Data
Box
—Reading Social Research 1.1: Critical Evaluation of Facebook Studies

Chapter 2. Science and Social Research: From Theory to Data and Back
The Characteristics and Process of Science
—Theory
—Verifiable Data
—Systematic Observation and Analysis
—Logical Reasoning
Logics of Inquiry
—Does Contact Change Stereotypes? An Answer from Deductive Inquiry
—How Does Class Matter? An Answer from Inductive Inquiry
—Combining the Logics of Inquiry
—From a Psychological Theory of Suicide to a Sociological One
Evaluating Science: Possibilities, Cautions, and Limits
—Tentative Knowledge
—The Ideal and Reality of the Scientific Process
—The Sociohistorical Aspect of Science
—The Human Element of Science
Boxes
—Reading Social Research 2.1: Verify This!
—Check You Understanding 2.2: Identifying and Evaluating Deductive and Inductive Reasoning

Chapter 3. The Ethics and Politics of Research: Doing What's "Right"
Overview: Ethics
Ethical Issues in the Treatment of Research Participants
—Potential Harm
—Informed Consent
—Deception
—Invasion of Privacy
Federal and Professional Ethical Guidelines
—Evaluating Potential Harm
—Informed Consent Procedures
—Deception Ground Rules
—Privacy Protection: Anonymity and Confidentiality
The Process of Ethical Decision-Making
—Review Federal Regulations and Professional Ethics Codes
—Identify and Address Areas of Ethical Concern
—Prepare and Submit Application for IRB Approval
—Collect Data and Secure Participants' Rights
Politics and Social Research
—Topic Selection, Political Ideology, and Research Funding
—Data Analysis and Interpretation and Political Ideology
—Dissemination of Research Findings: Science, Politics, and Public Policy
The Intersection of Ethics and Politics in Social Research
—A Case Study: Research on Same-Sex Parenting
—Conflict of Interest
—Social Responsibility
Boxes
—Reading Social Research 3.1: Privacy Invasion in the Public Identification of Participants
—Check Your Understanding 3.2: Ethics Practice Questions
—Doing Social Research: 3.3: Web Resources on Research Ethics

Chapter 4. Research Designs: It Depends on the Question
Initial Steps in the Research Process
—Select Research Topic
—Review the Literature/Consider Theory
—Formulate Research Question
—Prepare Research Design
Designing Research to Answer Quantitative Questions
—Select a Research Strategy
—Identify and Select Units of Analysis
—Measure Variables
—Gather Data and Analyze Relationships Among Variables
Designing Research to Answer Qualitative Questions
—Select Research Strategy
—Select Field Setting, Social Group, and/or Archival Records
—Gain Access and Establish Relationships
—Decide Whom to Observe or Interview or What to Read
—Gather and Analyze Data
Boxes
—Doing Social Research 4.1: How to Search the Literature
—Reading Social Research 4.2: The Ecological Fallacy
—Checking Your Understanding 4.3: Quantitative Research Questions, Units of Analysis, and Variables
—Reading Social Research 4.4: How to Interpret Correlations and Tests of Statistical Significance

Chapter 5. Measurement: Linking Theory to Research
Overview: The Measurement Process
Conceptualization and Operationalization
—Conceptualization
—Operationalization
Variations in Operational Definitions: Data Sources
—Manipulated Versus Measured Operations
—Sources of Measured Operational Definitions
Variations in Operational Definitions: Levels of Measurement
—Nominal Measurement
—Ordinal Measurement
—Interval Measurement
—Ratio Measurement
Select and Apply Operational Definitions to Produce Data
Assess the Quality of Operational Definitions
—Forms of Reliability Assessment
—Forms of Validity Assessment
The Feedback Loop: From Data Back to Concepts and Measurement
Boxes
—Doing Social Research 5.1: Improving Measurement with Composite Measures
—Checking Your Understanding 5.2: Inferring Level of Measurement From Operational Definitions
—Reading Social Research 5.3: Indexes, Scales, and Scaling Techniques
—Reading Social Research 5.4: Measurement Error and the Social Desirability Effect

Chapter 6. Sampling: Case Selection as a Basis for Inference
Overview: The Sampling Process
Principles of Probability Sampling
—Probability and Random Selection
—Probability Distribution and Sampling Error
—Sampling Distributions
—Statistical Inference
Steps in Probability Sampling
—Define Target Population
—Construct Sampling Frame
—Devise Sampling Design
—Determine Sample Size
—Draw Sample
Nonprobability Sampling
—Overview of Nonprobability Sampling
—Steps in Nonprobability Sampling
—Making Inferences from Nonprobability Samples
Boxes
—Doing Social Research 6.1: How to Select Things Randomly
—Checking Your Understanding 6.2: The Principles of Probability Sampling as Applied to the 2016 Pre-election Polls
—Reading Social Research 6.3: Assessing Nonresponse Bias and Overall Sample Quality

Chapter 7. Experiments: What Causes What?
Introductory Example: Misconduct in Criminal Prosecution
The Logic of Experimentation
Variations on the Experimental Method
—Variations in Experimental Design
—Variations in Experimental Context
The Process of Conducting Experiments
—Pretesting
—Participant Recruitment and Informed Consent
—Experimental Manipulation and Random Assignment
—Manipulation Checks
—Measurement of the Dependent Variable
Debriefing
—Strengths and Weaknesses of Experiments
—Internal Validity
—External Validity
—Reactive Measurement Effects
—Content Restrictions
Boxes
—Checking Your Understanding 7.1: The Difference Between Random Sampling and Random Assignment
—Doing Social Research 7.2: Informed Consent Form for an Experiment
—Reading Social Research 7.3: Thinking Critically About Research Designs and Threats to Internal Validity

Chapter 8. Surveys: Questioning and Sampling
Introductory Example: The Constructing the Family Survey
General Features of Survey Research
—Large-Scale Probability Sampling
—Structured Interviews of Questionnaires
—Quantitative Data Analysis
Variations in Survey Designs and Modes
—Survey Research Designs
—Data-Collection Modes
The Process of Planning and Conducting a Survey
—Choosing Mode of Data Collection
—Construct and Pretest Questionnaire
—Choose Sampling Frame/Design and Select Sample
—Recruit Sample and Collect Data
—Code and Edit Data
Strengths and Weaknesses of Surveys
—Generalization to Populations
—Versatility
—Efficiency
—Establishing Causal Relationships
—Measurement Issues
Boxes
—Reading Social Research 8.1: Open-Ended Versus Closed-Ended Questions in Survey Research
—Doing Social Research 8.2: Writing Survey Questions
—Doing Social Research 8.3: Informed Consent Statement in the Constructing the Family Survey

Chapter 9. Field Research and In-Depth Interviews: Systematic People Watching and Listening
Introductory Field Research Example: Mexican New York
Introductory In-Depth Interview Example: Mexican Americans Across Generations
General Features of Qualitative Research
—Observation
—Interviews
—Supplementary Archival and Other Data
—Nonprobability Sampling
—Qualitative Data Analysis
—Reflexivity
Variations in Qualitative Research Methods
—Degrees of Participation and Observation
—Over Versus Covert Observation
—Interview Structure
—Individual Versus Group Interviews
The Process of Conducting Field Research
—Select Setting/Group
—Gain Access
—Establish Roles and Relationships
—Decide What to Observe/Whom to Interview
—Gather and Analyze Data
—Leave the Field
—Write the Report
The Process of Conducting In-Depth Interviews
—Select and Recruit Interviewees
—Develop Interview Guide
—Gather Data
—Analyze Data
Strengths and Limitations of Qualitative Research
—Naturalistic Approach
—Subjective and Contextual Understanding
—Flexible Research Design
—Generalizability
—Reliability and Validity
—Efficiency
Boxes
—Checking Your Understanding 9.1: The "Nacirema" and Reflexivity
—Reading Social Research 9.2: Getting an Insider's View of Students by Passing as One
—Doing Social Research 9.3: Preparing for an In-Depth Interview

Chapter 10. Existing Data Analysis: Using Data from Secondhand Sources
Sources and Examples of Existing Data
—Public Documents and Official Records
—Private Documents
—Mass Media
—Physical, Nonverbal Evidence
—Social Science Data Archives
Analysis of Existing Statistical Data
—Existing Statistics Example: The Impact of MTV's 16 and Pregnant on Teen Childbearing
—The Process of Analyzing Existing Statistics
Content Analysis
—Content Analysis Example: Journalistic Accounts of the Iraq War
—The Process of Content Analysis
Comparative Historical Analysis
—An Example of Comparative Historical Analysis: The Emergence of Mass Imprisonment
—The Process of Comparative Historical Analysis
Strengths and Limitations of Existing Data Analysis
—Studying Social Structure, History, and Social Change
—Nonreactive Measurement
—Cost Efficiency
—Data Limitations
Boxes
—Reading Social Research 10.1: The Big Data Revolution
—Checking Your Understanding 10.2: Identifying Units of Analysis
—Doing Social Research 10.3: Analyzing the Content of Cell Phone Use

Chapter 11. Multiple Methods: Two or More Approaches Are Better than One
A Comparison of Four Basic Approaches to Social Research
Examples of Mixed Methods Research
—Effect of Abuse on Marriage and Cohabitation
—What Employers Say Versus What They Do
—Explaining Discrimination in a Low-Wage Labor Market
—Unpredictability and Unequal Control of Work Schedules and Time
Purposes of Mixed Methods Research
—Triangulation
—Complementarity
—Development
—Expansion
Mixed Methods Research Designs
—Sequential Design
—Concurrent Design
—Component Design
—Integrated Design
Boxes
—Doing Social Research 11.1: Limitations and Guidelines for Doing Mixed Methods Research

Chapter 12. Quantitative Data Analysis: Using Statistics for Description and Inference
Introductory Example of Survey Data Analysis: Drinking and Grades
Introductory Overview: The Process of Quantitative Analysis
Prepare Data for Computerized Analysis: Data Processing
—Coding
—Editing
—Entering the Data
—Clearing
Inspect and Modify Data
—Nominal- and Ordinal-Scale Variables
—Interval- and Ratio-Scale Variables
Carry Out Preliminary Hypothesis Testing
—Nominal- and Ordinal-Scale Variables
—Interval- and Ratio-Scale Variables
Conduct Multivariate Testing
—Elaboration of Contingency Tables
—Multiple Regression
Boxes
—Doing Social Research 12.1: Codebook Documentation
—Checking Your Understanding 12.2: The Meaning of Statistical Significance and Strength of Association
—Reading Social Research 12.3: The Impact of Statistical Assumptions in Quantitative Data Analysis

Chapter 13. Qualitative Data Analysis: Searching for Meaning
Introductory Example: Homelessness in Austin, Texas
Overview: A Process of Analyzing Qualitative Data
Prepare Data
—Transform the Data to Readable Text
—Check for and Resolve Errors
—Manage the Data
Identify Concepts, Patterns, and Relationships
—Coding
—Memo-Writing
—Data Displays
Draw and Evaluate Conclusions
Variations in Qualitative Data Analysis
—Grounded Theory Methods
—Narrative Analysis
—Conversation Analysis
Boxes
—Doing Social Research 13.1: Coding Textual Data
—Reading Social Research 13.2: From Displays Back to Data

Chapter 14. Reading and Writing in Social Research: It's All About Communication
Read, Take Notes, and Write Research Proposal
—Locate Relevant Research Literature
—Read and Evaluate Prior Research
—Formulate Research Question
—Design Research and Prepare Proposal
Write Research Report
—Outline and Prepare to Write
—Write First Draft
—Revision and Other Writing Considerations
Boxes
—Reading Social Research 14.1: Questions to Ask in Evaluating a Research Report
—Doing Social Research 14.2: ASA Guidelines for In-Text Citations and References

Glossary
References
Credits
Index

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews