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THURSDAY 21 JULY 129similar to those in cross-seconal surveys, a number of complicang factors exist, such as that response needsto be achieved across several waves and that interviewers may change over me.3.12.2 Personality Traits and Interviewer Effects in Face-To-Face <strong>Survey</strong>sM. Kroh 11 German Instute for Economic <strong>Research</strong> (DIW) and Humboldt-Universität zu Berlin, GermanyThe influence of interviewer characteriscs on survey responses in face-to-face interviews is typically hard tostudy. On the one hand, the regional assignment of interviewers in cross-seconal surveys makes it difficultto disentangle regional from interviewer variaon in survey responses. On the other hand, the experimentalassignment of interviewers is oen limited to single characteriscs (e.g., gender, race, etc.). The present studyidenfies interviewer effects by longitudinal changes in interviewers in the German Socio-Economic Panel. Aninterviewer-survey that mimics the personal quesonnaire allows us to study the adjustment of respondents’answers to the opinions of changing interviewers in a variety of reported atudes and behaviours...3.12.3 Knocking on Respondents’ Doors - Unit Non-Response and Non-Contact in a Large Wealth <strong>Survey</strong>J. Le Blanc 2 , I. Noack 1 , T. Schmidt 21 Saarland University, Germany; 2 Deutsche Bundesbank, GermanyThis paper analyses the impact of interviewers and straficaon on unit non-response and non-contact in faceto-facesurveys. While most studies invesgate differences across geographical areas, we focus on differencesacross wealth strata within Germany. We also contribute to the exisng literature by studying straficaonand interviewer effects as well as interacons of both.The data for our analysis comes from the new German survey on Private Households and their Finances (PHF),which oversamples ”wealthy” areas in Germany. Making use of the special sampling design of the PHF, we analysedifferences between wealthy and other strata as contact and cooperaon behaviour across these groupsmay differ.3.12.4 Interviewers and data accuracy in the survey on household income and wealth (SHIW)A. Neri 1 , G. Ilardi 11 Banca d’Italia, ItalyThe paper invesgates the interviewer contribuon to data accuracy in the survey on household income andwealth conducted by the Bank of Italy (SHIW). In parcular, I focus on the interacon of the two major surveyerror components in the SHIW: unit nonresponse and measurement error. The main research queson iswhether interviewers who are good at recruing respondents also good at collecng data of good quality. Thisinformaon has implicaons for interviewer recruitment and training and it is of paramount importance forimproving data quality.3.12.5 Measurement of vaccinaon coverage based on vaccinaon cards in a health survey of childrenand adolescents – interviewer effects and alternavesC. Poethko-Mueller 1 , M. Schlaud 11 Robert Koch Instute, GermanyAimGiven the absence of a ’gold standard’ for measuring vaccinaon status in health surveys, on-site assessmentof vaccinaon cards by study physicians and algorithm-based analyses of complete vaccinaon data were compared.MethodThe naonally representave German Health Interview and Examinaon <strong>Survey</strong> for Children and Adolescents(KiGGS) of the Robert Koch Instute surveyed 17,641 children. Parcipants were invited to study centres,

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