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ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

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GESIS Technical Report 2011|06 543<br />

Abstract: "Refusals are an important source of non-response in national and crossnational<br />

surveys. Strategies to reduce refusals (e.g. appropriate methods to communicate<br />

survey purpose, quality of instruments of data collection or refusal conversion<br />

strategies) are of higher importance than ever. During field work some surveys collect<br />

reasons for refusal in call record data. The European Social Survey even provides<br />

such data for secondary research. There is more than one good reason to collect<br />

data regarding reasons for refusal: in addition to providing interesting information for<br />

research they can also reveal some information about non-respondents which could<br />

be used to reduce refusals. But, some questions should be posed on the collection of<br />

this information: Do people who refuse state valid reasons or only excuses? Is there<br />

some usable information, e.g. for field work coordination? Is there a valid collection<br />

of the data? Here two aspects are included: validity of categories used by interviewers<br />

and accuracy of data collection done by the interviewer. These questions are handled<br />

in this paper. Notices by interviewers regarding reasons for refusals were analysed<br />

with the help of content analysis. The data used were provided in call record<br />

protocols for the Germany General National Survey (<strong>ALLBUS</strong> 2008). Prior to this<br />

we analysed reasons for refusals in ESS and found that the numbers of undifferentiated<br />

outcomes ranged broadly between 0% and 50% across the rounds and countries.<br />

Additionally, there were only marginal numbers of several reasons of refusals<br />

in numerous countries. ESS applied a category list which included 10 to 13 categories<br />

for the collection of reasons for refusals in dierent rounds. The categories of ESS<br />

(blue print and categories applied in Germany) were used as a starting point for the<br />

content analysis of interviewers notices in <strong>ALLBUS</strong>. We found numerous new categories,<br />

while the percentage of other was 1.4%. Additionally, less occupied ESScategories<br />

were marginally occupied in <strong>ALLBUS</strong> data also. On the basis of these<br />

results a schema of categories was developed and applied for the further analysis of<br />

<strong>ALLBUS</strong> 2008 data. Here, correlations with socio-demographics of interviewers as<br />

well as interviewer variance were taken into account to find any evidence regarding<br />

the question of interviewer impact on data collection. Finally, the results were discussed<br />

in light of the posed research questions, the usability of developed schema in<br />

surveys, as well as in relation to further research on the topic.".<br />

Aufgenommen: <strong>25.</strong> <strong>Fassung</strong>, März 2011<br />

Menold, Natalja und Züll, Cornelia, (2010). Codierung von Gründen der Verweigerung<br />

der Teilnahme an Interviews: ein Kategorienschema. Technical Reports<br />

2010/11. GESIS - Leibniz-Institut für Sozialwissenschaften: Mannheim.<br />

Abstract: "Verweigerungen stellen einen beträchtlichen Anteil systematischer Ausfälle<br />

in Umfragen dar. Einige Umfragen erheben deshalb Verweigerungsgründe während<br />

des Datenerhebungsprozesses. Neben einer interessanten Zusatzinformation<br />

zum Ablauf der Datenerhebung liefern diese Daten auch Informationen, die zur Reduzierung<br />

der Verweigerungsraten genutzt werden können. Allerdings fehlen derzeit<br />

standardisierte Instrumente zur Erfassung von Verweigerungsgründen, die eine

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