Sampling in Video-Based Social Sciences

Large-N, inference-based approaches are gaining increasing prominence in video-based social science research across sociology, social psychology, political science, and other fields. However, existing methodological publications on video methods do not discuss sampling methodology and empirical video-based research often includes only cursory discussions of the issue. To address this gap, this article applies insights from sampling methodology to video-based social science research. We review how sampling has been addressed in video-based social science research, reflect on its specific challenges, and propose a decision-tree flowchart to help researchers identify appropriate sampling strategies and common pitfalls. We then illustrate how the flowchart can be used in three common video-based sampling scenarios. The article thereby contributes to establishing clear guidelines for sampling in video-based social research as a reference point and as a resource for current and future practitioners, as well as reviewers and readers of such studies.

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Publication Details

Journal
Sociological Methods & Research
Published
2026-03-02
DOI
https://doi.org/10.1177/00491241261426862
Primary Topic
Participatory Visual Research Methods
Type
article
Field-Weighted Citation Impact
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article

Sampling in Video-Based Social Sciences

Nicolas Legewie, Anne Nassauer, Simon Kühne
Sociological Methods & Research
Participatory Visual Research Methods
article

Sampling in Video-Based Social Sciences

Nicolas Legewie, Anne Nassauer, Simon Kühne
article en

Abstract

Large-N, inference-based approaches are gaining increasing prominence in video-based social science research across sociology, social psychology, political science, and other fields. However, existing methodological publications on video methods do not discuss sampling methodology and empirical video-based research often includes only cursory discussions of the issue. To address this gap, this article applies insights from sampling methodology to video-based social science research. We review how sampling has been addressed in video-based social science research, reflect on its specific challenges, and propose a decision-tree flowchart to help researchers identify appropriate sampling strategies and common pitfalls. We then illustrate how the flowchart can be used in three common video-based sampling scenarios. The article thereby contributes to establishing clear guidelines for sampling in video-based social research as a reference point and as a resource for current and future practitioners, as well as reviewers and readers of such studies.

Sociological Methods & Research
Bielefeld University (DE), University of Erfurt (DE), University of Münster (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 44%
Participatory Visual Research Methods
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Sampling in Video-Based Social Sciences — Nicolas Legewie, Anne Nassauer, et al. · Sociological Methods & Research (2026) | TGRS Research Map | TGRS