Survey measurement and process quality
In: Wiley series in probability and statistics
In: A Wiley-Interscience Publication
5217 Ergebnisse
Sortierung:
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
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
In: Public opinion quarterly: journal of the American Association for Public Opinion Research, Band 73, Heft 2, S. 255-280
ISSN: 0033-362X