Bias in einem komplexen Surveydesign : Ausfallprozesse und Selektivität in der IAB-Befragung ALWA
Abstract"This report contains an analysis of nonresponse bias in the IAB survey ALWA ('Working and Learning in a Changing World'). Besides the usual processes of attrition in standardized surveys, which result from persons who cannot be reached and persons who do not cooperate, two additional sources of nonresponse were relevant here: first, persons in the register based address sample for whom no telephone number could be located, and second, additional dropouts due to the complex two-step design of the study. Our results show that the ALWA telephone survey is biased in similar ways as other population surveys. For the largest part, this selectivity can be traced back to non-location because of missing telephone numbers. Positive experiences were made with collecting reading and mathematical competence data in a face-to-face interview separately from the rest of the survey. Even though only 40 percent of the CATI respondents participated in these tests, the two-step design caused only a slight amount of additional selectivity." (Author's abstract, IAB-Doku) ((en)) Additional Information Variablen und Auszählungen frequencies and labels
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Bibliographic InfoPaper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 201302_de.
Length: 30 pages
Date of creation: 25 Mar 2013
Date of revision:
IAB-Datensatz Arbeiten und Lernen; Methodenliteratur; Stichprobenfehler; Datengewinnung; Befragung; Selektionskorrektur;
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- Matthes, Britta & Trahms, Annette, 2010. "Arbeiten und Lernen im Wandel : Teil II: Codebuch," FDZ Datenreport. Documentation on Labour Market Data 201002_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
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