Survey measurement and process quality
In: Wiley series in probability and statistics
In: A Wiley-Interscience Publication
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In: Wiley series in probability and statistics
In: A Wiley-Interscience Publication
In: Survey review, Band 27, Heft 212, S. 287-287
ISSN: 1752-2706
In: Survey review, Band 23, Heft 178, S. 155-155
ISSN: 1752-2706
In: Survey review, Band 26, Heft 206, S. 393-397
ISSN: 1752-2706
In: International journal of public opinion research, Band 15, Heft 1, S. 3-7
ISSN: 0954-2892
During the past 20 years, survey methodology has undergone a paradigm shift. The old paradigm was based on a statistical model that focused on the effects of survey errors on the estimates derived from survey data. The new paradigm is based on a social scientific model that focuses on the causes of survey errors. Several developments have helped bring about this shift -- the application of methods & concepts from cognitive psychology to the reduction of survey measurement error, the development of new computerized methods of data collection, & the increase in concern about measurement & nonresponse as sources of error in survey estimates. The new paradigm has little to say about the topics, such as sampling error, that were central to the old one; similarly, the old paradigm had little to say about how to reduce or prevent errors, a major concern for the new one. Thus, the two paradigms do not clash so much as complement each other. 17 References. Adapted from the source document.
In: Public opinion quarterly: journal of the American Association for Public Opinion Research, Band 61, Heft 4, S. 576-602
ISSN: 0033-362X
In: DHHS publication (ADM) 92-1929
In: The public opinion quarterly: POQ, Band 61, Heft 4, S. 576
ISSN: 1537-5331
Introduction / Uwe Engel -- Motivated misreporting : shaping answers to reduce survey burden / Roger Tourangeau, Frauke Kreuter, and Stephanie Eckman -- Audio-recording of open-ended survey questions : a solution to the problems of interviewer transcription? / Patrick Sturgis and Rebekah Luff -- Framing effects / Uwe Engel and Britta Köster -- Estimating and comparing the quality of different scales of an online survey using an MTMM approach / Melanie Revilla and Willem E. Saris -- Collecting MTMM data on satisfaction with life / Laura Burmeister and Uwe Engel -- On the quality of web panels / Jelke Bethlehem -- Online surveys and the burden of mobile responding / Marika de Bruijne and Marije Oudejans -- Well-being, survey attitudes, and readiness to report on everyday life events in an experience sampling study / Laura Burmeister, Uwe Engel, and Björn Oliver Schmidt -- Nonresponse, measurement error, and estimates of change : lessons from the German PPSM panel / Suat Can and Uwe Engel -- Handling of missing data in statistical analyses / Daniel Salfrán and Martin Spiess -- Multiple imputation of overdispersed multilevel count data / Kristian Kleinke and Jost Reinecke
In: Wiley series in survey methodology
Wissenschaftliche Umfragen können keine aussagekräftigen Ergebnisse liefern, wenn ihre Datenqualität durch fehlende oder verfälschte Antworten beeinträchtigt wird. Eine Herausforderung der Sozialforschung besteht darin, solche Fehlerquellen zu erkennen und zu kontrollieren. Der Band präsentiert Erkenntnisse und Methoden zur Behandlung von Unit Nonresponse, Missing Data und verschiedene Arten von Messfehlern im Kontext von Web und Mixed-Mode Panel, Mobile Web und Faceto-Face-Befragungen. Uwe Engel ist Professor für Soziologie mit dem Schwerpunkt Statistik und empirische Sozialforschung an der Universität Bremen.
In: NBER macroeconomics annual, Band 32, S. 411-471
ISSN: 1537-2642
In: NBER Working Paper No. w23418
SSRN
In: Public opinion quarterly: journal of the American Association for Public Opinion Research, Band 77, Heft 2, S. 586-585
ISSN: 0033-362X
In: The public opinion quarterly: POQ, Band 77, Heft 2, S. 586-605
ISSN: 1537-5331