Survey Research & Sampling 2016 Edition (Statistical Associates "Blue Book" Series Book 7)

An introductory graduate-level introduction and tutorial to survey research and sampling in social science and in general research.

Why we think it's important: As we move more and more toward web surveys, it is helpful to read some of the latest research on what works and what doesn't.

New in the 2016 edition:

Over twice as long as the 2013 edition (171 pages), with new coverage on...
Address-based sampling (ABS), probability-based online panels, sample matching
CHERRIES checklist for reporting survey results
Device mode effects, response quality, visual analog scales, incentives
Gamification, paid respondents, experience sampling, and much more
All former topics revised and updated for surveying and sampling

Unformatted table of contents:
SURVEY RESEARCH & SAMPLING
I. SURVEY RESEARCH
Overview
Key Terms and Concepts
Survey research terms
Survey Instrumentation.
Research design
Samples vs. enumerations
Survey model
Response rate
Cover letters
Prenotification
Cash incentives
Voucher incentives
Donation incentives
Lotteries
Response structure
Survey error
Pretesting
Survey language
Split sample comparisons
Analysis of non-response
Data collection modes
Face-to-face interviewing
Mail surveys
Email Surveys
Telephone interviewing and random digit dialing
Web surveys
Web surveys on mobile devices
Computer-based questionnaires
Device mode effects
Survey software
Survey design considerations
Survey ethics
Survey anonymity
Survey order
Identification codes
Survey layout and format
Survey length
Items per page
Pages per survey
Branching and piping
Survey experiments
Gamified surveys
Survey items
Item development and selection
Item length
Demographic and basic information items
Model items
Control items
Filter items
Screening items
Cross-check items
Probe items
Framing and priming items
Scale items
Sociometric items
Open-ended items
Projective items
Vignettes
Item bias
Agreement bias
Ambiguity bias
Cheating bias
Complexity bias
Gender bias
Grammatical bias
Hypothetical item bias
Inappropriate assumptions bias
Item non-response bias
Language bias
Mutual exclusivity bias
Leading question bias
Loaded term bias
"Don't know" and non-exhaustive response set bias
Recall item bias
Residual category bias
Rank list bias
Requiring inaccessible information bias
Social desirability bias
Unfamiliar terms/jargon bias
Research on web surveys
Overview
Response rates
Non-internet households
Greater error and non-response in web surveys
Mode effects
Coverage bias
Age bias
Sensitive items
Radio buttons are better than drop-down pick lists
Use of grid items
Survey research assumptions: Attitude vs. action
Survey research frequently asked questions
What are the pros and cons of using open-ended items?
Is it okay to force a choice, or is a 'no opinion' option necessary?
How do I handle multiple-response items?
How can I get a more valid response to highly sensitive questions?
How do I handle the fact that not all respondents answer all items in my questionnaire?
What us photo elicitation?
Where can I find more information about web survey methodology?
II. SAMPLING
Overview
Key Concepts and Terms
Population
Random sampling
The sampling frame
Strata
Panel construction
Recruitment cohorts
Significance
Confidence intervals
Enumerations
The design effect
Types of non-random sampling
Convenience sampling
Paid respondents
Quota sampling
Expert sampling
Types of random sampling
Simple random sampling
Simple random sampling with replacement
Simple random sampling without replacement
Equal probability systematic sampling
Repeated systematic sampling
Stratified simple random sampling
Multistage stratified random sampling
Simple vs. multistage sampling
Disproportionate stratified sampling (ove