(Non)probability sampling in survey reseach

Bucher, Hannah

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URN: urn:nbn:de:bsz:180-madoc-669963
Document Type: Doctoral dissertation
Year of publication: 2024
Place of publication: Mannheim
University: Universität Mannheim
Evaluator: Keusch, Florian
Date of oral examination: 13 September 2023
Publication language: English
Institution: School of Social Sciences > Social Data Science and Methodology (Keusch 2022-)
License: CC BY 4.0 Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 300 Social sciences, sociology, anthropology
Keywords (English): survey methodology , survey sampling
Abstract: This dissertation explores the distinctions between probability and nonprobability sampling approaches, focusing on their implications in empirical analyses and their methodological refinement. The research is structured around two core inquiries. Firstly, it examines the extent to which disparities associated with these sampling methods are evident in empirical analyses that rely on varied survey samples. Secondly, it aims to advance the methodology underlying both probability and nonprobability sampling. Through this investigation, the dissertation contributes valuable insights into the effectiveness and limitations of each sampling approach, offering guidance for their application in social science research.

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