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The Practice
of Social Research
Writing is my joy, sociology my passion.
I delight in putting words together in
a way that makes people learn or laugh or both.
Sociology shows up as a set of words, also. It repre-
sents our last, best hope for planet-training our race
and finding ways for us to live together. I feel a
special excitement at being present when sociology,
at last, comes into focus as an idea whose time has
come.
I grew up in small-town Vermont and New
Hampshire. When I announced I wanted to be an
auto-body mechanic, like my dad, my teacher told
me I should go to college instead. When Malcolm X
announced he wanted to be a lawyer, his teacher
told him a colored boy should be something more
like a carpenter. The difference in our experiences
says something powerful about the idea of a level
playing field. The inequalities among ethnic groups
run deep.
I ventured into the outer world by way of
Harvard, the USMC, U.C. Berkeley, and twelve
years teaching at the University of Hawaii.
I resigned from teaching in 1980 and wrote full-
time for seven years, until the call of the classroom
became too loud to ignore. For me, teaching is like
playing jazz. Even if you perform the same number
over and over, it never comes out the same twice
and you don’t know exactly what it’ll sound like
until you hear it. Teaching is like writing with your
voice.
In 2006, I retired from teaching once more, and
can now devote myself more fully to writing. I’ve
been writing textbooks for over half my life, and
it keeps becoming more exciting, rather than less.
I can’t wait to see what happens next.
Earl
Babbie
THIRTEENTH EDITION
The Practice of Social Research
Earl BabbieChapman University
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The Practice of Social Research,
Thirteenth Edition, International Edition
Earl Babbie
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Dedication
Suzanne Babbie
P A R T 4
Analysis of Data: Quantitative
and Qualitative 387
Appendixes 523
Contents in Brief
P A R T 1
An Introduction to Inquiry 1
P A R T 2
The Structuring of Inquiry:
Quantitative and Qualitative 87
P A R T 3
Modes of Observation: Quantitative
and Qualitative 227
Preface xv
Acknowledgments xxii
Part 1 An Introductionto Inquiry 1
C H A P T E R 1
Science and Social Research 2Introduction 3
Looking for Reality 4
Knowledge from Agreement Reality 4
Errors in Inquiry, and Some Solutions 6
The Foundations of Social Science 8
Theory, Not Philosophy or Belief 8
Social Regularities 9
Aggregates, Not Individuals 11
Concepts and Variables 12
The Purposes of Social Research 17
Some Dialectics of Social Research 18
Idiographic and Nomothetic Explanation 19
Inductive and Deductive Theory 21
Determinism versus Agency 23
Qualitative and Quantitative Data 24
The Research Proposal 26
C H A P T E R 2
Social Inquiry: Ethics and Politics 30Introduction 31
Ethical Issues in Social Research 32
Voluntary Participation 32
No Harm to the Participants 33
Anonymity and Confidentiality 35
Deception 38
Analysis and Reporting 39
Institutional Review Boards 39
Professional Codes of Ethics 42
Two Ethical Controversies 42
Trouble in the Tearoom 42
Observing Human Obedience 44
The Politics of Social Research 45
Objectivity and Ideology 46
Politics with a Little “p” 50
Politics in Perspective 51
C H A P T E R 3
Inquiry, Theory, and Paradigms 56Introduction 57
Some Social Science Paradigms 57
Macrotheory and Microtheory 59
Early Positivism 59
Contents in Detail
Contents
Social Darwinism 60
Conflict Paradigm 61
Symbolic Interactionism 61
Ethnomethodology 62
Structural Functionalism 63
Feminist Paradigms 64
Critical Race Theory 65
Rational Objectivity Reconsidered 66
Elements of Social Theory 69
Two Logical Systems Revisited 70
The Traditional Model of Science 70
Deductive and Inductive Reasoning: A Case
Illustration 74
A Graphic Contrast 76
Deductive Theory Construction 78
Getting Started 78
Constructing Your Theory 78
An Example of Deductive Theory: Distributive
Justice 79
Inductive Theory Construction 80
An Example of Inductive Theory: Why Do
People Smoke Marijuana? 81
The Links between Theory
and Research 82
Research Ethics and Theory 83
Part 2 The Structuring of Inquiry: Quantitative and Qualitative 87
C H A P T E R 4
Purpose and Design of Research Projects 88Introduction 89
Three Purposes of Research 90
Exploration 90
Description 91
Explanation 92
Idiographic Explanation 92
Nomothetic Explanation 93
Criteria for Nomothetic Causality 93
Nomothetic Causal Analysis
and Hypothesis Testing 94
False Criteria for Nomothetic Causality 95
Necessary and Sufficient Causes 96
Units of Analysis 97
Individuals 99
Groups 99
Organizations 100
Social Interactions 100
Social Artifacts 100
Units of Analysis in Review 102
Faulty Reasoning about Units of Analysis: The
Ecological Fallacy and Reductionism 103
The Time Dimension 105
Cross-Sectional Studies 105
Longitudinal Studies 106
Approximating Longitudinal Studies 110
Examples of Research Strategies 111
How to Design a Research Project 112
Getting Started 114
Conceptualization 114
Choice of Research Method 114
Operationalization 115
Population and Sampling 115
Observations 116
Data Processing 116
Analysis 116
Application 116
Research Design in Review 116
The Research Proposal 118
Elements of a Research Proposal 118
C H A P T E R 5
Sampling Logic 123Introduction 124
A Brief History of Sampling 125
President Alf Landon 125
President Thomas E. Dewey 126
Two Types of Sampling Methods 127
Contents
Conceptualization 169
Indicators and Dimensions 169
The Interchangeability of Indicators 171
Real, Nominal, and Operational
Definitions 172
Creating Conceptual Order 173
An Example of Conceptualization:
The Concept of Anomie 174
Definitions in Descriptive
and Explanatory Studies 176
Operationalization Choices 177
Range of Variation 177
Variations between the Extremes 179
A Note on Dimensions 179
Defining Variables and Attributes 180
Levels of Measurement 180
Single or Multiple Indicators 184
Some Illustrations of Operationalization
Choices 185
Operationalization Goes On and On 186
Criteria of Measurement Quality 187
Precision and Accuracy 188
Reliability 188
Validity 191
Who Decides What’s Valid? 192
Tension between Reliability and Validity 193
The Ethics of Measurement 194
C H A P T E R 7
Typologies, Indexes, and Scales 197Introduction 198
Indexes versus Scales 198
Index Construction 201
Item Selection 201
Examination of Empirical Relationships 202
Index Scoring 207
Handling Missing Data 208
Index Validation 209
The Status of Women: An Illustration of Index
Construction 214
Nonprobability Sampling 128
Reliance on Available Subjects 128
Purposive or Judgmental Sampling 128
Snowball Sampling 129
Quota Sampling 130
Selecting Informants 131
The Theory and Logic of Probability
Sampling 132
Conscious and Subconscious Sampling Bias 132
Representativeness and Probability
of Selection 133
Random Selection 135
Probability Theory, Sampling Distributions,
and Estimates of Sampling Error 135
Populations and Sampling Frames 143
Review of Populations and Sampling
Frames 146
Types of Sampling Designs 146
Simple Random Sampling 147
Systematic Sampling 147
Stratified Sampling 150
Implicit Stratification in Systematic
Sampling 151
Illustration: Sampling University Students 152
Multistage Cluster Sampling 153
Multistage Designs and Sampling Error 155
Stratification in Multistage Cluster
Sampling 157
Probability Proportionate to Size (PPS)
Sampling 157
Disproportionate Sampling and Weighting 158
Probability Sampling in Review 160
The Ethics of Sampling 160
C H A P T E R 6
From Concept to Measurement 163Introduction 164
Measuring Anything That Exists 164
Conceptions, Concepts, and Reality 165
Concepts as Constructs 167
Contents
Monitoring Returns 246
Follow-Up Mailings 247
Response Rates 247
Compensation for Respondents 248
A Case Study 249
Interview Surveys 250
The Role of the Survey Interviewer 250
General Guidelines for Survey Interviewing 251
Coordination and Control 253
Telephone Surveys 255
Computer-Assisted Telephone Interviewing
(CATI) 257
Response Rates in Interview Surveys 258
Online Surveys 258
Comparison of the Different Survey
Methods 261
Strengths and Weaknesses of Survey
Research 262
Secondary Analysis 264
Ethics and Survey Research 266
C H A P T E R 9
Experiments and Experimentation 270Introduction 271
Topics Appropriate for Experiments 271
The Classical Experiment 272
Independent and Dependent Variables 272
Pretesting and Posttesting 272
Experimental and Control Groups 273
The Double-Blind Experiment 274
Selecting Subjects 275
Probability Sampling 276
Randomization 276
Matching 277
Matching or Randomization? 278
Variations on Experimental Design 278
Preexperimental Research Designs 278
Validity Issues in Experimental Research 279
Scale Construction 215
Bogardus Social Distance Scale 215
Thurstone Scales 216
Likert Scaling 217
Semantic Differential 218
Guttman Scaling 219
Typologies 221
Part 3 Modes of Observation: Quantitative and Qualitative 227
C H A P T E R 8
Surveys 228Introduction 229
Topics Appropriate for Survey
Research 229
Guidelines for Asking Questions 230
Choose Appropriate Question Forms 231
Make Items Clear 232
Avoid Double-Barreled Questions 232
Respondents Must Be Competent
to Answer 232
Respondents Must Be Willing to Answer 234
Questions Should Be Relevant 234
Short Items Are Best 234
Avoid Negative Items 235
Avoid Biased Items and Terms 235
Questionnaire Construction 237
General Questionnaire Format 237
Formats for Respondents 237
Contingency Questions 238
Matrix Questions 239
Ordering Items in a Questionnaire 240
Questionnaire Instructions 241
Pretesting the Questionnaire 242
A Composite Illustration 242
Self-Administered Questionnaires 242
Mail Distribution and Return 245
Contents
Special Considerations in Qualitative
Field Research 327
The Various Roles of the Observer 328
Relations to Subjects 329
Some Qualitative Field
Research Paradigms 333
Naturalism 333
Ethnomethodology 334
Grounded Theory 336
Case Studies and the Extended Case
Method 338
Institutional Ethnography 340
Participatory Action Research 341
Conducting Qualitative
Field Research 343
Preparing for the Field 343
Qualitative Interviewing 345
Focus Groups 349
Recording Observations 350
Strengths and Weaknesses of Qualitative
Field Research 353
Validity 353
Reliability 354
Ethics and Qualitative Field
Research 355
C H A P T E R 1 2
Evaluation Research: Types, Methods, and Issues 358Introduction 359
Topics Appropriate for Evaluation
Research 360
Formulating the Problem: Issues
of Measurement 362
Specifying Outcomes 363
Measuring Experimental Contexts 364
Specifying Interventions 364
Specifying the Population 364
New versus Existing Measures 365
Operationalizing Success/Failure 365
An Illustration of Experimentation 285
Alternative Experimental Settings 287
Web-Based Experiments 288
“Natural” Experiments 289
Strengths and Weaknesses
of the Experimental Method 290
Ethics and Experiments 291
C H A P T E R 1 0
Unobtrusive Measures 294Introduction 295
Content Analysis 295
Topics Appropriate for Content Analysis 296
Sampling in Content Analysis 297
Coding in Content Analysis 300
Illustrations of Content Analysis 305
Strengths and Weaknesses of Content
Analysis 306
Analyzing Existing Statistics 307
Durkheim’s Study of Suicide 307
The Consequences of Globalization 309
Units of Analysis 310
Problems of Validity 310
Problems of Reliability 311
Sources of Existing Statistics 311
Comparative and Historical Research 314
Examples of Comparative and Historical
Research 314
Sources of Comparative and Historical Data 317
Analytic Techniques 318
Ethics and Unobtrusive Measures 320
C H A P T E R 1 1
Paradigms, Methods, and Ethics of Qualitative Field Research 323Introduction 324
Topics Appropriate for Field Research 324
Contents
C H A P T E R 1 4
Analyzing Quantitative Data 413Introduction 414
Quantification of Data 414
Developing Code Categories 415
Codebook Construction 417
Data Entry 418
Univariate Analysis 418
Distributions 418
Central Tendency 420
Dispersion 423
Continuous and Discrete Variables 425
Detail versus Manageability 426
Subgroup Comparisons 426
“Collapsing” Response Categories 427
Handling “Don’t Knows” 428
Numerical Descriptions in Qualitative
Research 429
Bivariate Analysis 430
Percentaging a Table 431
Constructing and Reading Bivariate Tables 433
Introduction to Multivariate Analysis 434
Sociological Diagnostics 435
Ethics and Quantitative Data Analysis 437
C H A P T E R 1 5
Origins and Paradigm of the Elaboration Model 441Introduction 442
The Origins of the Elaboration
Model 442
The Elaboration Paradigm 447
Replication 448
Explanation 448
Interpretation 451
Specification 452
Refinements to the Paradigm 453
Types of Evaluation Research
Designs 366
Experimental Designs 366
Quasi-Experimental Designs 367
Qualitative Evaluations 371
The Social Context 373
Logistical Problems 373
Use of Research Results 375
Social Indicators Research 380
The Death Penalty and Deterrence 380
Computer Simulation 381
Ethics and Evaluation Research 382
Part 4 Analysis of Data: Quantitative and Qualitative 387
C H A P T E R 1 3
Analyzing Qualitative Data 389Introduction 390
Linking Theory and Analysis 390
Discovering Patterns 390
Grounded Theory Method 392
Semiotics 393
Conversation Analysis 395
Qualitative Data Processing 396
Coding 396
Memoing 400
Concept Mapping 401
Computer Software for Qualitative Data
Analysis 403
QDA Programs 403
Using NVivo to Understand Women Film
Directors, by Sandrine Zerbib 404
The Qualitative Analysis of Quantitative
Data 407
Evaluating the Quality of Qualitative
Research 407
Ethics and Qualitative Data Analysis 410
Contents
Using the Internet Wisely 505
Some Useful Websites 505
Searching the Web 506
Evaluating the Quality of Internet
Materials 508
Citing Internet Materials 511
Writing Social Research 512
Some Basic Considerations 512
Organization of the Report 513
Guidelines for Reporting Analyses 517
Going Public 518
The Ethics of Reading
and Writing Social Research 519
Appendixes 523
A Using the Library 524
B GSS Household Enumeration Questionnaire 533
C Random Numbers 543
D Distribution of Chi Square 545
E Normal Curve Areas 547
F Estimated Sampling Error 548
Glossary 549
Bibliography 563
Index 576
Elaboration and Ex Post Facto
Hypothesizing 456
C H A P T E R 1 6
Methods of Statistical Analysis 459Introduction 460
Descriptive Statistics 460
Data Reduction 460
Measures of Association 461
Regression Analysis 465
Inferential Statistics 469
Univariate Inferences 469
Tests of Statistical Significance 470
The Logic of Statistical Significance 471
Chi Square 475
t-Test 477
Some Words of Caution 478
Other Multivariate Techniques 480
Path Analysis 480
Time-Series Analysis 481
Factor Analysis 483
Analysis of Variance 486
Discriminant Analysis 488
Log-Linear Models 490
Odds-Ratio Analysis 492
Geographic Information Systems (GIS) 493
C H A P T E R 1 7
Consuming and Creating Social Research 497Introduction 498
Reading Social Research 498
Organizing a Review of the Literature 498
Reading Journals versus Books 499
Evaluating Research Reports 500