Handbook of Survey Research
Peter V. Marsden, James D. Wright
Emerald Group Publishing, Apr 28, 2010 - Social Science - 903 pages
"The Handbook of Survey Research, Second Edition" builds on its widely-recognized 1983 predecessor by updating its previous historical account of the development of survey research and the evolution of social science before going on to examine new and expanded usages of survey research during the past half century. Editors Peter Marsden (Harvard University) and James D. Wright (University of Central Florida), long-time editor of Elsevier's Social Science Research, have created an authoritative reference book and an excellent starting point for anyone requiring a broad examination of the field. Detailed chapters include: sampling; measurement; questionnaire construction and question writing; survey implementation and management; survey data analysis; special types of surveys; and integrating surveys with other data collection methods. This handbook is distinguished from other texts by its greater comprehensiveness and depth of coverage including topics such as measurement models, the role of cognitive psychology, surveying networks, and cross-national/cross-cultural surveys. Timely and relevant it includes materials that are only now becoming highly influential topics.
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AAPOR Alwin American Statistical Association analysis answers approach behavior beneﬁts Biemer Census cluster cluster sampling coding coefﬁcients cognitive conﬁdentiality correlation cost Couper data collection data sets deﬁned deﬁnition design effect difﬁcult Dillman elements estimates evaluation example factors ﬁeld ﬁles ﬁnal ﬁndings ﬁrst groups Groves household identiﬁers imputation inﬂuence Internet surveys Journal Krosnick latent variable Lavrakas mail surveys mean measurement error methods missing data mode multiple nonresponse bias Ofﬁcial panel participation persons population Presser pretesting probability samples PSUs Psychology Public Opinion Quarterly questionnaire reﬂect regression reliability reported respondents response rates sample design sampling frame scale selection signiﬁcant simple random sample social speciﬁc standard errors statistical power strata stratiﬁcation stratum survey data survey design survey error survey questions survey research survey research methods telephone surveys Tourangeau true score U.S. Census Bureau units validity values variables variance vignettes weights Wiley