Survey Research and Sampling 2013 Edition

A graduate level introduction to and tutorial on survey research and sampling. New in the 2013 edition: 50% more coverage than 2012 In addition, now combined with "Sampling" SURVEY RESEARCH & SAMPLING Survey research terms Survey Instrumentation. Research design Samples vs. enumerations Survey model Response rate Response structure Survey error Pretesting Survey language Split sample comparisons Analysis of non-response Data collection modes Survey software Survey layout Survey...
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A graduate level introduction to and tutorial on survey research and sampling. New in the 2013 edition: 50% more coverage than 2012 In addition, now combined with "Sampling" SURVEY RESEARCH & SAMPLING Survey research terms Survey Instrumentation. Research design Samples vs. enumerations Survey model Response rate Response structure Survey error Pretesting Survey language Split sample comparisons Analysis of non-response Data collection modes Survey software Survey layout Survey order Survey length Survey items Item development and selection Model items Control items Filter items Screening items Cross-check items Probe items Priming items Projective items Item bias Acquiescence bias Ambiguity bias Complexity bias Gender bias Grammatical bias Hypothetical item bias 12 more types of bias Research on web surveys Survey research assumptions: Attitude vs. action Survey research frequently asked questions 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? What us photo elicitation? Sampling Key Concepts and Terms Types of non-random sampling Convenience sampling Quota sampling Expert sampling Types of random sampling Simple random sampling Equal probability systematic sampling Repeated systematic sampling Stratified simple random sampling Multistage stratified random sampling Disproportionate stratified sampling Clustering and multilevel effects in multistage samples Analyzing non-response Weighting Dealing with missing data Pre-survey estimation of sample size Sampling assumptions How do I know if the distribution of my responses is what it should be, based on known population distributions? What is adaptive sampling? How do significance tests need to be adjusted for multi-stage, cluster, or other complex sampling designs, as compared to simple random samples? What is resampling? Bibliography Pagecount: 82