- 360 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
This is your definitive guide to designing your social survey. It includes all the knowledge and skills you need to plan your survey with confidence and ease. Every step of survey design from developing your questions, to administering your survey and preparing your data for analysis, is explained in easy to follow language.
It features:
- Case studies demonstrating how effective surveys are conducted in real life
- Clear advice on how to design an ethical social survey
- Practical exercises to help you construct your survey
- Suggestions for further reading taken from cutting edge, multidisciplinary sources
The book also comes with a host of useful online resources, including templates and reflective questions, to help strengthen your understanding and apply your new found knowledge.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access A Practical Introduction to Survey Design by Haydn Aarons in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Index
- accuracy
- in determining sampling error, 216, 236
- in determining validity, 105, 135
- afrobarometer, 9, 61–62
- age
- frequency distribution, 264
- groups, 168, 237, 320
- analysis, see survey analysis
- anonymity and confidentiality, 170, 181, 228, 230, 309
- applications
- computer-based, 223
- web-based, 230
- Arts Centre and Gallery Patron Survey (ACGPS), 257
- Australian Buddhists, 228, 235, 292, 294, 296–298, 300–301, 308, 312
- study of, 218, 292
- survey of, 303, 314
- Australian Bureau of Statistics, 27, 98, 323
- Australian Census, 170, 240–241
- bad survey questions, 171–172
- basic conceptual model, 195–199, 201, 205, 210
- education and income, 210, 276
- Beck Depression Inventory, 4
- behaviour
- demographic distribution, 9
- economic, 202
- organizational, 83
- religious, 201–202
- social, 293
- benchmark, 121, 174, 270, 272, 296, 312
- empirical, 164
- estimate, 50
- bias, 4, 6, 136, 193, 232, 239
- bivariate analyses, 253–254, 267, 270, 272, 274–275, 278–285, 288, 310–315, 320
- Buddhism, 42–44, 46, 49, 51–54, 66–67, 131–132, 203–204, 207, 218, 294–306, 308, 311–312, 314
- case studies, 56, 66–68, 69–71, 73, 91, 95, 98–99, 105–106, 109, 111, 116
- causation, 52, 193–194, 284
- census, 26–27, 29–30, 64–65, 91, 93, 231, 235, 240, 251, 295
- national, 8, 231, 293
- United States, 251
- census form, 26
- clarification, 85, 87–88, 105, 109, 112–115, 128, 135, 184, 191, 299, 301
- conceptual, 105
- process, 41, 125, 211, 299
- closed-ended questions see questions
- closed-ended responses see responses
- cluster sampling, 237
- clusters, 148, 153, 238, 284–286
- codebook, 143, 163–166, 186–187, 229, 250, 257–258, 262, 288, 315
- codes, 161, 163–165, 175, 186, 227, 258, 262–263, 282–283, 320
- in a question, 163
- coding, 86, 137, 143–144, 162–167, 175, 229, 262, 268, 276–277, 315, 320
- closed-ended questions, 163
- reverse, 262, 265
- cognitive interviewing, 184, 303, 315, 327
- companion website, 11–12, 62, 140, 237, 292
- complex concepts, 27, 91, 94, 96, 101, 114, 123, 138, 178, 265, 275
- complex conceptual models, 190, 198–200, 202, 205, 208, 210–212, 284–285
- composite measures, 265, 317, 320
- Computer-Assisted Personal Interview (CAPI), 223
- Computer-Assisted Self-Interview (CASI), 227
- Computer-Assisted Telephone Interviews (CATI), 225
- concept dictionaries, 87, 109
- concepts
- abstract, 18, 115, 144, 316, 319
- clarifying, 73, 81–82, 90–91, 105, 112, 133–134
- independent, 189, 193
- measure, 28, 86, 134, 145, 162, 193, 244
- multiple, 175
- operationalization of, 68, 74, 85, 112, 199
- operati...
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Acknowledgements
- Brief contents
- Detailed contents
- About the author
- Preface
- Acknowledgements
- Online resources
- One Surveys: Data, Uses, and Contexts
- Two Types of Surveys: Components and Limitations
- Three Survey Design and the Research Process
- Four Concepts: What’s the Big Idea?
- Five Dimensions, Sub-Dimensions, and Indicators
- Six Constructing Survey Questions
- Seven Conceptual Models: Mapping Concepts and Preparing for Analysis
- Eight Survey Administration
- Nine Survey Design and Data Analysis: From Questions to Data and From Plan to Action
- Ten Pulling It All Together: A Survey Design and Survey Research Example
- Glossary
- References
- Index