Surveys in social research:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York, NY
Routledge
2014
|
| Ausgabe: | 6. ed. |
| Schriftenreihe: | Social research today
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XVIII, 382 S. graph. Darst. |
| ISBN: | 9780415530156 9780415530187 |
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Datensatz im Suchindex
| _version_ | 1804151364589191168 |
|---|---|
| adam_text | Titel: Surveys in social research
Autor: De Vaus, David A
Jahr: 2014
Detailed contents
Brief contents v
Detailed contents vi
Boxes, figures, web pointers and tables xi
Preface xvii
Parti THE SCOPE OF SURVEY RESEARCH 1
1 The nature of surveys 3
What is a survey? 3
Form of data 3
Methods of analysis 5
Quantitative and qualitative research 6
Practice vs ideal types 7
2 Theory and social research 9
The interaction of theory and research 9
The process of theory construction 10
Establishing the meaning of observations 11
Levels of generality 12
Plausibility and the need for theory
testing 12
The process of theory testing 13
Six stages in theory testing 13
Theory construction and testing: an
ongoing process 15
The need for theory and observation 16
Sources of theories 17
Sociological perspectives 17
Other sources 18
The role of descriptive research 18
The centrahty of theory 19
3 Formulating and clarifying research
questions 21
Types of research questions 21
Descriptive research 22
Explanation: searching for causes or
consequences 22
Explanation: exploring a simple idea 23
Explanation: exploring more
complex ideas 23
Using the internet to review existing
information and research 24
Scope of the research 28
Particular but exhaustive or general
but partial? 28
Units of analysis 28
Research design 29
Descriptive research 29
Explanatory research 29
The classic experimental design 30
Panel design 32
Quasi-panel design 32
Retrospective panel design 32
Retrospective experimental design 33
Cross-sectional or correlation design 34
One group post-test only design 35
Why bother about design? 35
Refining research questions: a checklist 36
Part II COLLECTING SURVEY DATA 39
4 Developing indicators for concepts 41
Clarifying the concepts 41
How to clarify concepts 42
Developing indicators 45
How many indicators to use 47
How to develop indicators 47
Evaluating indicators 47
Reliability 48
Validity 51
Criterion validity 51
The problem of meaning 52
Developing indicators: a checklist 52
5 Ethics and data collection 55
Research participants 56
Voluntary participation 56
Informed consent 57
No harm 58
Anonymity and confidentiality 59
Privacy 61
Colleagues, the profession, sponsors and
the public 61
Colleagues and the profession 61
Sponsors 63
The public 63
Data collection ethics checklist 63
6 Finding a sample 66
Some sampling concepts 66
Types of probability samples 68
Simple random sampling (SRS) 68
Systematic sampling 69
Stratified sampling 71
Multistage cluster sampling 71
Internet samples 74
Web page-based surveys 74
Internet samples and representativeness 75
The use of internet samples 76
Sample size 77
Sample power 80
Non-response 81
Weighting samples 83
How to weight a sample on a single
characteristic 83
How to weight a sample on two or
more characteristics 83
Secondary analysis 84
Non-probability sampling 88
Sampling checklist 89
7 Constructing questionnaires 93
Selecting areas 93
Question content 94
Direction, extremity and intensity of
attitudes 95
Principles of question design 95
Reliability 95
Validity 95
Discrimination 95
Response rate 96
Same meaning for all respondents 96
Relevance 96
Optimising and satisfying 96
Wording questions 97
Selecting question type 99
Open and closed formats 99
Response formats and level of
measurement 100
Developing question responses 100
Exhaustiveness (or inclusiveness) 100
Exclusiveness 101
Balancing categories 101
Developing response alternatives for
closed-choice questions 101
Numerical rating scales 101
Scores 103
Ranking 104
Checklists 104
Binary choice formats 104
Multiple choice formats 104
Non-committal responses 105
No opinion and don t know responses 105
Inclusion of the middle alternative 106
Number of response categories 106
Response sets 107
Social desirability 107
Acquiescent response sets 107
Questionnaire layout 108
Answering procedures 108
Contingency questions 108
Instructions 109
Use of space 110
Order of questions 110
Setting up for coding 111
Questionnaire length 111
Telephone questionnaires: additional
considerations 112
Question wording 112
Layout 113
Pilot testing: evaluating questions and
questionnaires 114
Three stages of pilot testing questions 114
Pilot testing items 115
Pilot testing questionnaires 116
Flow 116
How to pilot test 116
Questionnaire design checklist 117
8 Administering questionnaires 121
Main methods of administration 121
Face-to-face interviews 121
Telephone interviews 122
Postal self-administered questionnaires 122
Internet surveys 123
Computer-assisted questionnaire
administration 123
Four methods compared: strengths and
weaknesses 125
Response rates 125
Obtaining representative samples 126
Survey method effects on
questionnaire design 127
Quality of answers 128
Implementing the survey 129
Multi-mode methods of administration 131
Maximising response rates in personal
interviews 131
Ensuring quality in personal interviews 132
Training and supervision 132
Techniques for personal interviewing 133
Smooth implementation of personal
interviews 133
Maximising response rates in postal surveys 133
The cover letter 133
Preparing the envelopes 134
Using incentives 135
Selecting the mail-out date 135
Follow-ups 135
Undelivered questionnaires 136
Answering respondents questions 136
Smooth implementation of postal
questionnaires 136
Supplies 136
Identification numbers 136
Staffing 136
Maximising response rates in telephone
surveys 137
Locating the respondent 137
Gaining cooperation 137
Ensuring quality in telephone surveys 137
Smooth implementation of telephone
surveys 138
Maximising response rates in internet
surveys 138
Ensuring quality in internet surveys 139
Smooth implementation of internet
surveys 140
Questionnaire administration checklist 140
Part III SETTING UP THE DATA FOR
ANALYSIS 145
9 Coding 147
Classifying responses 147
Preceding 148
Postcoding 148
Allocating codes to each variable 148
Multilevel classification schemes 148
Developing a set of codes from the
answers given 150
Multiple answers 151
Coding multiple responses to closed
questions 152
Multiple responses to open questions 153
Coding numerical data 155
Coding missing data 155
Producing a codebook 156
Checking for coding errors 156
Entering data 157
Manual data entry 157
Scanning 157
Automatic data entry 158
Issues that complicate coding 158
Coding checklist 159
10 Preparing variables for analysis 161
Changing categories 161
Collapsing categories 162
Approaches to collapsing categories 163
Rearranging categories 164
Reverse coding 165
Creating new variables 167
Conditional transformations 167
Creating new variables with
arithmetic transformations 168
Standardising variables 169
Standardising using z-scores 169
Standardising for different distributions 170
Adjustments with ordinal level
variables 172
The problem of missing data 173
Checking for missing data bias 173
Minimising the effect of missing values 174
Data preparation checklist 175
11 Building scales 179
Why bother building scales? 179
Summated scaling: the logic 181
Likert scales 181
Construct a rough scale 182
Selecting the best items
Creating the final scale
Factor analysis
Selecting variables for analysis
Extracting an initial set of factors
Extracting the final factors—rotation
Factor scores and scales
Issues that complicate scaling
Interpreting scale scores
Equivalence of items
Forcing scales to have meaningful
upper and lower limits
The problem of missing data
Scaling checklist
Part IV ANALYSING SURVEY DATA
12 Overview of analysis
The number of variables
Levels of measurement
Interval level
Ordinal level
Nominal level
Influencing the level of measurement
Which level of measurement to aim for
Methods of analysis
Descriptive and inferential statistics
Descriptive statistics
Inferential statistics
Ethics and analysis
Overview of analysis: a checklist
13 Univariate analysis
Descriptive statistics
Tabular analysis
Graphical analysis
Distortions with graphs
Summary descriptive statistics
Nominal variables
Ordinal variables
Interval variables
Inferential statistics
Significance tests for nominal and
ordinal variables
Interval estimates for nominal and
ordinal variables
Significance tests for interval variables
Interval estimates for interval variables
Selecting the appropriate statistic
Univariate analysis checklist
14 Bivariate analysis: nominal and
ordinal variables 241
Tables 242
The structure of cross-tabulations 242
Percentaging a cross-tabulation 244
Reading a cross-tabulation 245
The character of relationships 245
Presenting cross-tabulations 248
When to use tables 248
Graphs 249
Clustered bar chart 249
Stacked bar chart 250
Line graph 252
Boxplots 253
Using summary statistics 254
Chi-square based correlations 254
PRE-based correlations 256
Interpreting correlation coefficients:
direction 257
Interpreting correlation coefficients:
strength 257
Correlation coefficients when both
variables are nominal 258
Statistics when both variables are
ordinal 259
Statistics for two ordinal variables
with many categories 259
Statistics for mixed levels of
measurement 259
Correlation coefficients for
non-linear relationships 261
Weaker than expected relationships 261
Inferential statistics 262
Significance tests 262
Interval estimates 265
Bivariate analysis for nominal and
ordinal variables checklist 267
15 Bivariate analysis for interval-level
variables 270
Interval-level dependent variables with
categorical independent variables 270
Tabular analysis 271
Graphical analysis 272
Summary statistics: descriptive analysis 274
Summary statistics: inferential analysis 275
Comparing means 275
Dichotomous independent variable 276
Independent variables with three or
more categories 277
Significance of eta 278
184
185
185
186
187
189
190
191
191
192
193
193
194
201
203
203
203
204
204
205
205
205
206
206
207
207
209
210
212
212
212
215
219
219
219
222
224
228
228
231
233
233
234
236
Two interval-level variables 278
Graphs 278
Summary statistics: Pearson s correlation 279
Regression analysis 281
Regression coefficients 281
When can regression be used? 285
Summary statistics: inference 285
Rank—order correlation 286
Correlation matrices 289
Checklist for bivariate analysis of
interval variables 290
16 Elaborating bivariate relationships 295
The logic of statistical controls 295
Experimental controls 295
Cross-sectional designs and statistical
controls 296
Multiple statistical controls 297
The purpose of elaboration 297
Types of relationship between three
variables 298
Steps in elaboration analysis 300
Elaboration using summary statistics:
partial correlation 300
Interpreting partial correlation statistics 301
Using tables for elaboration analysis 304
Spurious relationships 304
Indirect causal relationships 306
Specification 307
Replication 307
Problems with conditional tables 307
Graphical methods of elaboration analysis 309
Line graphs 310
Line graphs using different scales on
the Y-axis 311
Tree diagrams 311
Elaboration checklist 312
17 Multivariate analysis 316
Individual variables 317
Partial correlation 317
Models 321
Multiple correlation 322
Multiple regression 322
Cautions 324
Multiple regression with non-interval
independent variables: dummy
regression 325
Path analysis 328
Other multivariate methods 331
Multivariate checklist 331
18 Putting it into practice: a research
example 336
The research question 336
Hypotheses 337
Clarifying and operationalising the
concepts 337
Religion 337
Independent and intervening variables 338
Background variables 338
Preparing the variables for analysis 338
Producing the scales 339
Preparing variables for regression
analysis 340
Initial analysis 341
Kendall s tau and Spearman s rho 342
Cross-tabulations with gamma 342
Testing the explanations 343
Workforce participation: cross-
tabulation analysis 343
Workforce participation: multiple
regression analysis 343
Stage in the family life cycle:
multiple regression analysis 346
Family focus: multiple regression
analysis 346
Decomposing the gender gap 347
Discussion 349
Summarise relevant results 349
Ex post facto explanations for further
examination 350
Implications 350
Summary 350
Glossary 352
Bibliography 365
Index 374
|
| any_adam_object | 1 |
| author | De Vaus, David A. |
| author_GND | (DE-588)124113753 |
| author_facet | De Vaus, David A. |
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| building | Verbundindex |
| bvnumber | BV041297301 |
| callnumber-first | H - Social Science |
| callnumber-label | HN29 |
| callnumber-raw | HN29 |
| callnumber-search | HN29 |
| callnumber-sort | HN 229 |
| callnumber-subject | HN - Social History and Conditions |
| classification_rvk | CS 2000 MR 2000 |
| ctrlnum | (OCoLC)867141152 (DE-599)BVBBV041297301 |
| dewey-full | 300.72/3 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.72/3 |
| dewey-search | 300.72/3 |
| dewey-sort | 3300.72 13 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie Psychologie |
| edition | 6. ed. |
| format | Book |
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| id | DE-604.BV041297301 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:53:39Z |
| institution | BVB |
| isbn | 9780415530156 9780415530187 |
| language | English |
| lccn | 2013016832 |
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| owner_facet | DE-N2 DE-188 DE-739 |
| physical | XVIII, 382 S. graph. Darst. |
| publishDate | 2014 |
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| publisher | Routledge |
| record_format | marc |
| series2 | Social research today |
| spelling | De Vaus, David A. Verfasser (DE-588)124113753 aut Surveys in social research David de Vaus 6. ed. London ; New York, NY Routledge 2014 XVIII, 382 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Social research today Includes bibliographical references and index Sozialwissenschaften Social surveys Social sciences Research Methodology Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Umfrage (DE-588)4005227-8 gnd rswk-swf Demoskopie (DE-588)4011425-9 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 s Umfrage (DE-588)4005227-8 s DE-604 Demoskopie (DE-588)4011425-9 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026746162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | De Vaus, David A. Surveys in social research Sozialwissenschaften Social surveys Social sciences Research Methodology Empirische Sozialforschung (DE-588)4014606-6 gnd Umfrage (DE-588)4005227-8 gnd Demoskopie (DE-588)4011425-9 gnd |
| subject_GND | (DE-588)4014606-6 (DE-588)4005227-8 (DE-588)4011425-9 |
| title | Surveys in social research |
| title_auth | Surveys in social research |
| title_exact_search | Surveys in social research |
| title_full | Surveys in social research David de Vaus |
| title_fullStr | Surveys in social research David de Vaus |
| title_full_unstemmed | Surveys in social research David de Vaus |
| title_short | Surveys in social research |
| title_sort | surveys in social research |
| topic | Sozialwissenschaften Social surveys Social sciences Research Methodology Empirische Sozialforschung (DE-588)4014606-6 gnd Umfrage (DE-588)4005227-8 gnd Demoskopie (DE-588)4011425-9 gnd |
| topic_facet | Sozialwissenschaften Social surveys Social sciences Research Methodology Empirische Sozialforschung Umfrage Demoskopie |
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