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This presentation explores nonresponse bias analysis in survey data, indicating methods for assessment and correction.
This presentation provides an introduction to non-response bias analysis in survey data: how does it occur and how can it be quantified? It also covers the assessment and correction of representation errors in new data sources with calibration and sensitivity analyses. This presentation is the second part of a set of presentations on the topic of "Indicators & Metrics of Data Quality". Presentation available after free registration: https://elearning.gesis.org/course/section.php?id=1211
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Barbara Felderer (2025) studied this question.
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