Survey Research & Sampling 2016 Edition (Statistical Associates "Blue Book" Series Book 7) (English Edition) [Kindle-editie] beoordelingen het boek quotes

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