ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

GESIS Technical Report 2011|06 93
mode of contact, contact outcome) and some information about the target individuals
(e.g. sex, age, housing) is available. Our main dependent variables are the likelihood
of being contacted and the likelihood to cooperate in ALLBUS (both based on information
from the contact protocols). We do not employ an interpenetrated design
to measure interviewer effects, instead, we introduce – in a multi-level model – some
control variables to account for assignment area differences between interviewers.".
Aufgenommen: 20. Fassung, Februar 2005
Blohm, Michael, (2006). Datenqualität durch Stichprobenverfahren bei der Allgemeinen
Bevölkerungsumfrage der Sozialwissenschaften-ALLBUS. S. 37- 61, in:
Faulbaum, Frank und Wolf, Christof (Hrsg.), Stichprobenqualität in Bevölkerungsumfragen.
Tagungsbericht 12. Bonn: Informationszentrum Sozialwissenschaften.
Abstract: "In dem vorliegenden Beitrag wird überprüft, ob der ALLBUS durch die
Wahl des Registerstichprobenverfahrens seinem Qualitätsanspruch gerecht wird.
Hierzu werden die ALLBUS Nettostichproben ab 1992 mit Stichproben anderer sozialwissenschaftlicher
Studien und dem Mikrozensus verglichen. Dabei steht die
Frage nach den Zusammenhang zwischen verwendeten Stichprobenverfahren, Ausschöpfungsquote
und Datenqualität im Vordergrund."
Aufgenommen: 21. Fassung, Dezember 2006
Blohm, Michael, (2006). Data Quality in Nationwide (German) Social Survey. European
Conference on Quality in Survey Statistics: Cardiff.
Abstract: "For random probability sampling the use of an appropriate sampling design
and a high response rate should ensure high data quality. The following paper
investigates the associations between sampling design and data quality on the one
hand and response rates and data quality on the other.
To answer the first question, different German surveys are studied, which were conducted
using different (random) sampling designs. The sampling designs differ in the
leeway interviewers have in practice to select the target persons. (Theoretically, in all
random sampling designs, the interviewers should have no leeway for this selection
when working according to the rules; but in random route designs interviewers select
the household and/or the target by themselves, whereas in samples containing the
names and addresses of individuals the interviewers have no choice). To get a
benchmark for data quality the nation-wide surveys (ALLBUS) are compared with
the German Microcensus. It can be shown, that data quality in sampling designs containing
the names of individuals is higher than in other sampling designs where interviewers
select the target person and or the target householdby themselves.
In a second step, the association between response rates and data quality is investigated
over the course of the fielding period. The surveys on the basis of samples with
named individuals at different points in time during the fielding period were com-