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This note demonstrates an application of a multilevel multinomial model. We use that model to analyse interviewer effects on various components of unit nonresponse to a face-to-face survey: refusals and noncontacts. The model allows for an analysis of these two interviewer effects and a possible connection between both at the same time. Our results show that both the chances for refusals as for noncontacts are subject to interviewer effects. We also find some evidence for a relation between both interviewer effects: interviewers who obtain more refusals are also more likely to report noncontacts. That result is however at least partly dependent on an outlier, an interviewer with a high number of refusals and noncontacts. 相似文献
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In this article we analyse the number of no opinion answers to attitude items. We argue that that number can be considered as a count variable that should be analysed using Poisson regression or negative binomial regression. Since we're interested in the effect of both respondent and interviewer characteristics on the number of no opinion's we use multilevel analysis that takes into account the hierarchical structure of the data. As a consequence multilevel Poisson regression and multilevel negative binomial regression are applied. Our analysis shows that answering no opinion is related to some sociodemographic respondent characteristics. In addition we find a significant interviewer effect, but we are not able to explain that effect in terms of interviewer variables. 相似文献
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