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• W2398407451 abstract "Samples of social surveys are not necessarily to be used without prior basic information. Those who intend to work with ALLBUS/GGSS data should be aware of the fact that since 1991 the ALLBUSsamples contain disproportionate shares of respondents from the area of the former German Democratic Republic. Since the reunification a lot of analyses have shown substantial differences between the new federal states and the old Federal Republic of Germany (FRG). It is therefore often statistically accurate to do separate analyses for these areas of present-day Germany. In order to allow meaningful analyses of social groups in the eastern sub-sample, ALLBUS uses a disproportionate sampling design which oversamples respondents from the area of the new federal states, i.e. more people are interviewed in East Germany than would be appropriate given its actual proportion of the total population. For separate analyses of East and West Germany there is no need to take care of this oversample by weighting the data. If your investigation aims at making a statement about Germany as a whole, however, the data have to be weighted first. For this purpose two East-West weights are provided with the data set (cf. V1739-V1744). As an enhancement, the new variable report introduces properly weighted frequency counts for total Germany as a regular feature of most variable descriptions since 1991. Because the data has been adjusted for the oversample, these marginal distributions can be interpreted as prima facie representative of Germany as a whole. Cross tabulations by East and West can be found in a separate supplement documentation to the ALLBUS variable reports. The percentages in these tables can be analyzed without adjusting for the East German oversample. However as mentioned above, if your own analyses of this data set aim at making a statement about total Germany, the data needs to be weighted first. An additional topic to consider is the use of transformation weights to change household-samples into data on persons and vice versa: From 1980 to 1992 and again in 1998, the ALLBUS surveys used a sampling method based on the ADM-design. In the first stage of this three stage sampling procedure, a sample of electoral districts was selected. In the second stage the interviewers selected a target household in the electoral district, starting at a randomly chosen address and then proceeding through the area following specified rules. In the third stage, random digits (Kish-Selection-Grid) were finally used to determine the household-member to be interviewed (cf. Kirschner 1984; ADM and AG.MA 1999). In the case of the ADM-sampling-design it is therefore the households within the universe sampled which have the same probability of selection. However, for the individuals living at a specific address, the probability of selection also depends on the respective number of household-members belonging to the universe sampled. More specifically: The larger the number of household-members who are eligible to be interviewed, the smaller the chance for a particular person in the household to be finally chosen for the interview. In principle, all person-level analyses of data from ALLBUS/GGSS surveys using a household-sample, i.e. ALLBUS 1980 to ALLBUS 1992 and ALLBUS 1998, therefore have to be weighted proportionally to the number of household-members belonging to the universe sampled (transformation weight, cf. V1739 and V1741)." @default.
• W2398407451 created "2016-06-24" @default.
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• W2398407451 date "2014-01-01" @default.
• W2398407451 modified "2023-09-24" @default.
• W2398407451 title "Oversamples, Units of Analysis, and the Topic of Data Transformation" @default.
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