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96 WEDNESDAY 20 JULYThe rise of cognive interviewing and focus groups in survey instrument design is accompanied by scepcalcomments of stascians. They are concerned that the insights of cognive interviewing and other relatedqualitave pretesng techniques cannot be directly linked to measurement properes such as (stascal) reliabilityand validity. The major issue here is, that qualitave work basically deals with paern-idenficaonwithout indicang the paern distribuon in a given populaon as it is standard in stascs.2.31 Assessing the Quality of <strong>Survey</strong> Data IVTo be held on July 20, 2011 from: 14:00 to 15:30, in room 410.Coordinated by: Jörg Blasius - University of Bonn, Germany2.31.1 Happy respondents, happy researchers? What self-disclosure and response-style can tell us aboutthe quality of our data.J. Rossmann 2 , J. Blumenberg 11 Mannheim Centre for <strong>European</strong> Social <strong>Research</strong> MZES, University of Mannheim, Germany; 2 GESIS - LeibnizInstute for the Social Sciences, GermanyEven though online surveys become more and more popular in social scienfic research, there is much doubtabout the quality of the generated data. This has much to do with the characteriscs and the response-styleof online-respondents which are harder to control than in other survey modes.2.31.2 Assessing the Quality of Face-to-Face Interviews Using a Mul-Dimenonal ModelM. Link 1 , T. Boals 1 , J. Lai 11 Nielsen, United StatesFace-to-face interviewing is thought to produce the highest quality survey data compared to other modes, yetrigorous assessments are rare and oen limited in scope. Interviews with non-tradional populaons, such asestablishment owners where recall may bias collecon of specific factual informaon, oen make assessmenteven more difficult. We provide a mulfactor conceptual framework for assessing the quality of face-to-faceinterviews in an ongoing panel of store owners...2.31.3 Quality control in web surveysM. Romano 1 , M. Nalli 11 Scuola Superiore Sant Anna di Pisa, ItalyThe development of computer-assisted methods for data collecon has provided survey researchers tools tocontrol the process of data collecon: monitoring the stream of survey data and also paradata could be usefulto improve survey cost efficiency and achieve more precise, less biased esmates. Furthermore, at the end ofthe survey process measures and paradata can be used to evaluate survey quality.2.31.4 Telephone interviewer training: How does it link to data quality?W. Jablonski 11 University of Lodz, PolandThe aim of this presentaon is to outline the results of the methodological study that was carried out duringthe period from October 2009 to August 2010. 12 major Polish research organizaons as well as 2 companiesin Norway and Iceland parcipated in the research (Norwegian and Icelandic modules of the project wereco-financed by technical assistance funds of the EEA Financial Mechanism and the Norwegian Financial Mechanismwithin the framework of the Scholarship and Training Fund). The research was based on three methods:

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