Understanding and applying research design:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
[2013]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xix, 425 Seiten Illustrationen, Diagramme |
| ISBN: | 9781118096482 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1804176413965680640 |
|---|---|
| adam_text | CONTENTS
Preface xvii
Acknowledgments xix
PART I WHEEL OF SCIENCE: PREMISES OF RESEARCH 1
1 DUH SCIENCE VERSUS HUH SCIENCE 3
How Do We Know What We Know? 3
Common Sense versus Science 6
“Duh” Science 6
“Huh Science” 8
How Does Social Science Research Actually Work? 10
What Are the Basic Assumptions of Science? 12
Common Sense Is Not Enough: Errors in How We Observe 12
Exercise: Should Marijuana Be Made Legal? 15
2 THEORIES AND HYPOTHESES 21
What are Theories? 22
What are Hypotheses? 25
Operationalizing Variables 28
Exercise: Operationalizing Concepts 29
Independent and Dependent Variables 34
3 OBSERVATION AND EMPIRICAL GENERALIZATION 35
Quantitative Designs 36
Surveys 36
Aggregate Data 38
vii
viii
CONTENTS
Exercise: Using the Religious Congregations and Membership Study 39
Experiments 39
Qualitative Designs 41
Field Research 42
Content Analysis 44
Reliability and Validity 45
Empirical Generalizations 47
Correlational versus Causal Relationships 48
Types of Research 49
Pure Research 49
Applied Research 50
Evaluation Research 50
Action Research 51
4 ETHICS 52
Human Subjects Abuses 55
Protection of Humans in Research 56
Professional Ethical Standards 61
PART II WHEEL OF SCIENCE: PROCEDURES OF RESEARCH 63
5 MEASUREMENT 65
Variables and Constants 65
Operationalization 66
Variation 68
Constants 73
Levels of Measurement 74
Exercise: Levels of Measurement 79
Units of Analysis 79
Exercise: Units of Analysis 80
Reliability and Validity of Measures 80
6 USING SPSS IN RESEARCH 83
Real-World Data 83
Coverage of Statistical Procedures 84
SPSS Basics 84
General Features 85
Using SPSS with General Social Survey Data 87
CONTENTS
ix
7 CHI-SQUARE AND CONTINGENCY TABLE ANALYSIS 90
Contingency Tables 90
Work Autonomy and Personal Health: An Example of
a Contingency Table 91
Using Chi Square to Determine the Significance of Research Findings 93
Using SPSS for the Chi-Square Test of Independence 94
The Crosstabs Procedure 95
Effect Size: Contingency Coefficient 97
Effect Size: Phi Coefficient 98
Effect Size: Cramer’s V 98
Creating and Analyzing the Contingency Table Data Directly 99
Concluding Comments 101
8 LEARNING FROM POPULATIONS: CENSUSES AND SAMPLES 102
Censuses 103
Samples 103
Probability Sampling 105
Types of Probability Samples 106
Simple Random Sample 106
Systematic Random Sampling 108
Telephone Polls (Random-Digit Dialing) 110
Stratified Random Samples 112
Cluster Sampling 114
Probability Proportional to Size 114
Sampling and Statistics 115
Potential Biases in Probability Samples 119
Nonresponse 119
Selective Availability 119
Areal Bias 120
Nonprobability “Samples” 121
Convenience Samples 122
Quota Sampling 123
Snowball Sampling 124
Exercise: Populations and Sampling 125
9 CORRELATION 127
The Nature of Correlation: Explore and Predict 128
Different Measurement Values 128
X
CONTENTS
Correlation Measures 128
Interpreting the Pearson’s Correlation 129
An Example of Correlation 129
Assumptions for Correlation 130
Plotting the Correlation: The Scattergram 130
Patterns of Correlations 132
Strength of Correlations in Scattergrams 132
Creating the Scattergram with SPSS 134
Evaluating Pearson’s r 135
Correlation Using SPSS 136
Interpreting r: Effect Size 136
Correlation Influences 4 139
Correlation is Not Causation 141
An Example of Correlation Using SPSS 141
Example Worksheet: Correlation 142
Nonparametric Correlation 145
10 REGRESSION 146
Understanding Regression through Correlation 147
Regression Models 147
Using SPSS to Understand Regression 149
Specifying the Analyses in SPSS 151
The SPSS Output 154
Interpreting Multiple Regression: The Combined,
Omnibus Findings 155
Interpreting Multiple Regression: The Individual Predictor Findings 157
Using MLR to Establish Causality 159
Using MLR with Categorical Data 160
11 CAUSATION 162
Criteria for Causation 163
Time 163
Correlation 163
Multiple Causes of Income 165
Nonspuriousness 166
Antecedent Variables 168
Using Control Variables to Detect Spuriousness 172
Intervening Variables 174
^ C ’ T -r 178
CONTENTS XÎ
Income and Voting Example 182
Regression Analysis and Testing for Spuriousness 185
Detecting Spuriousness 190
Regression Example 193
Exercise: Testing Spuriousness in Crosstabs 196
Exercise: Testing for Spuriousness in Regression 200
PART III WHEEL OF SCIENCE: DESIGNS OF RESEARCH 203
12 SURVEY RESEARCH 205
Nature of The Survey 206
Three Types of Surveys 206
Face-to-Face Interviews 206
Telephone Interviews 209
Questionnaires 210
Online Survey Methods 210
Online Surveys 211
Online Forums 212
Survey Item Construction 212
Evaluating Closed-Ended Questions 215
Biased Language 217
Anchors 218
Balanced Categories 219
Double-Barreled Questions 219
Variation in Survey Analyses 221
Socially Acceptable Answers 222
Reliability and Validity 223
Respondent Knowledge 223
Respondent Refusal 224
Nonresponse in Questionnaire Data 224
Bias in Surveys 226
Studying Change with Surveys 227
Using Time in Survey Studies 228
Cohort Studies 228
Trend Studies 228
Panel Studies 229
Longitudinal Studies 229
Censuses and Sampling 230
Exercise: Survey Research in Action 230
xfi
CONTENTS
13 AGGREGATE RESEARCH 234
Nature of Aggregate Data 236
Areal and Social Units 236
Rates 238
Outliers 243
Exercise: Putting It Together 244
Exercise: Exploring Congregations in America 246
14 EXPERIMENTS 251
Experimental Designs 253
Pre-Experimental Designs 253
Design 1: The One-Shot Case Study 254
Design 2: One Group Pretest-Posttest Design 4 254
Design 3: The Static Group 256
Selection Bias 257
True Experimental Designs 257
Design 4: The Classic Experiment 257
Design 5: Solomon Four-Group Design 257
Quasi-Experimental Designs 258
Design 6: Pre-Post Nonequivalent Control Group Design 258
Fidelity of Experimental Design 259
Experimental Settings 260
Laboratory Experiments 260
Field Experiments 261
Natural/Disaster Experiments 262
Survey Experiments 263
Ethics 265
Reliability and Validity 265
Exercise: Experiments in Action 266
15 STATISTICAL METHODS OF DIFFERENCE: TTEST 270
Independent and Dependent Samples 271
Independent t Test 271
Example of Experiment 272
Post Facto Designs 273
Independent t Test: The Procedure 274
Independent t Test Example 275
The Variables Used in the Example 276
CONTENTS Xiii
The SPSS Results 276
Effect Size for the Example 278
Additional tTest Considerations 279
16 ANALYSIS OF VARIANCE 280
The Nature of the ANOVA Design 281
The Components of Variance 282
The Process of ANOVA 283
Calculating ANOVA 284
Effect Size 286
Post Hoc Analyses 288
Assumptions of ANOVA 288
Additional Considerations with ANOVA 289
A Real-World Example of ANOVA 289
Using SPSS for ANOVA Procedures 290
1. Do the Different Independent Variable Groups Show
Normally Distributed Dependent Variable Distributions? 291
2. Are Variances Equal? 294
3. Are Samples Independently Chosen? 294
4. Are Interval Data on the Dependent Variable? 294
SPSS Procedures with One-Way ANOVA 294
SPSS ANOVA Results for the Example Study 298
The ANOVA Table 298
Effect Size 299
The Post Hoc Analyses 299
17 FIELD RESEARCH 301
Selecting a Topic 302
Relevance 303
Accessibility 303
Censorship 305
Independent Funding 305
Risk 306
Entering the Field 307
Neutralizing Observer Effects 309
Taking Data in the Field 309
Interviewing in the Field 309
Field Notes 310
Reliability and Validity 310
xiv
CONTENTS
Ethics 312
Exercise: Field Research in Action 315
18 CONTENT ANALYSIS 316
Defining the Population 317
Census or Sample? 318
Coding in Content Analysis 319
Coding Rolling Stone 321
Reliability and Validity 322
Exercise: Content Analysis of Popular Magazines 324
PART ¡V STATISTICS AND DATA MANAGEMENT 327
STATISTICAL PROCEDURES UNIT A: WRITING THE STATISTICAL
RESEARCH SUMMARY * 329
STATISTICAL PROCEDURES UNIT B: THE NATURE
OF INFERENTIAL STATISTICS 333
Probability 337
Probability, the Normal Curve, and p Values 338
Populations (Parameters) and Samples (Statistics) 339
The Hypothesis Test 340
Statistical Significance 341
Practical Significance: Effect Size 341
DATA MANAGEMENT UNIT A: USE AND FUNCTIONS OF SPSS 343
Management Functions 343
Reading and Importing Data 343
Sort 344
Additional Management Functions 349
Split File 349
Compute (Creating Indices) 354
Analysis Functions 354
Data Management Unit A: Uses and Functions 356
DATA MANAGEMENT UNIT B: USING SPSS TO RECODE
FOR T TEST 357
Using SPSS to Recode Questionnaire Items 357
Recoding “health 1” 357
Recoding “faiream” 361
Data Management Unit B: Uses and Functions 363
CONTENTS
XV
data MANAGEMENT UNIT C: DESCRIPTIVE STATISTICS 364
Descriptive and Inferential Statistics 364
Descriptive Statistics 365
Descriptive Procedures for Nominal and Ordinal Data 365
Using SPSS Graphs for Nominal and Ordinal Data 368
Using SPSS Frequencies Command for Nominal- and
Ordinal-Level Data 368
Descriptive Procedures for Interval Data 374
Numerical Procedures: Central Tendency 374
Numerical Procedures: “Balance” and Variability 379
Obtaining Descriptive (Numerical) Statistics from SPSS 382
Using SPSS Explore 384
Obtaining Descriptive (Visual) Statistics from SPSS 388
Data Management Unit C: Uses and Functions 388
STATISTICAL PROCEDURES UNIT C: Z SCORES 389
The Nature of the Normal Curve 389
The Standard Normal Score: z Score 391
Calculating z Scores 391
Using SPSS to Create z Scores 394
Statistical Procedures Unit C: Uses and Functions 396
Glossary 397
Bibliography 411
Index 416
A fresh approach to bridging research
design with statistical analysis
While good social science requires both research design and statistical analysis, most
books treat these two areas separately. Understanding and Applying Research Design
introduces an accessible approach to integrating design and statistics, focusing on the
processes of posing, testing, and interpreting research questions in the social sciences.
The authors analyze real-world data using SPSS1 software, guiding readers on the
overall process of science, focusing on premises, procedures, and designs of social
scientific research. Three clearly organized sections move seamlessly from theoretical
topics to statistical techniques at the heart of research procedures, and finally, to
practical application of research design:
* Premises of Research introduces the research process and the capabilities
of SPSS with coverage of ethics, Empirical Generalization, and Chi
Square and Contingency Table Analysis
* Procedures of Research explores key quantitative methods in research
design including measurement, correlation, regression, and causation
* Designs of Research outlines various design frameworks, with discussion
of survey research, aggregate research, and experiments
Throughout the book. SPSS- software is used to showcase the discussed techniques,
and detailed appendices provide guidance on key statistical procedures and tips for
data management. Numerous exercises allow readers to test their comprehension of the
presented material, and a related website features additional data sets and SPSS^ code.
Understanding and Applying Research Design is an excellent book for social sciences
and education courses on research methods at the upper-undergraduate level. The book
is also an insightful reference for professionals who would like to learn how to pose,
test, and interpret research questions with confidence.
|
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| spelling | Abbott, Martin L. 1949- Verfasser (DE-588)1032609311 aut Understanding and applying research design Martin Lee Abbott, Jennifer McKinney (Seattle Pacific University) Hoboken, NJ Wiley [2013] xix, 425 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Statistik (DE-588)4056995-0 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Methodologie (DE-588)4139716-2 gnd rswk-swf Forschungsplanung (DE-588)4155051-1 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Statistik (DE-588)4056995-0 s Forschungsplanung (DE-588)4155051-1 s DE-604 Empirische Sozialforschung (DE-588)4014606-6 s Methodologie (DE-588)4139716-2 s Statistische Analyse (DE-588)4116599-8 s 1\p DE-604 McKinney, Jennifer 1969- Verfasser (DE-588)1032610875 aut Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029073347&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029073347&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Abbott, Martin L. 1949- McKinney, Jennifer 1969- Understanding and applying research design Statistik (DE-588)4056995-0 gnd Statistische Analyse (DE-588)4116599-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methodologie (DE-588)4139716-2 gnd Forschungsplanung (DE-588)4155051-1 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4116599-8 (DE-588)4055916-6 (DE-588)4139716-2 (DE-588)4155051-1 (DE-588)4014606-6 |
| title | Understanding and applying research design |
| title_auth | Understanding and applying research design |
| title_exact_search | Understanding and applying research design |
| title_full | Understanding and applying research design Martin Lee Abbott, Jennifer McKinney (Seattle Pacific University) |
| title_fullStr | Understanding and applying research design Martin Lee Abbott, Jennifer McKinney (Seattle Pacific University) |
| title_full_unstemmed | Understanding and applying research design Martin Lee Abbott, Jennifer McKinney (Seattle Pacific University) |
| title_short | Understanding and applying research design |
| title_sort | understanding and applying research design |
| topic | Statistik (DE-588)4056995-0 gnd Statistische Analyse (DE-588)4116599-8 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methodologie (DE-588)4139716-2 gnd Forschungsplanung (DE-588)4155051-1 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
| topic_facet | Statistik Statistische Analyse Sozialwissenschaften Methodologie Forschungsplanung Empirische Sozialforschung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029073347&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029073347&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT abbottmartinl understandingandapplyingresearchdesign AT mckinneyjennifer understandingandapplyingresearchdesign |