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Video Data Analysis: A Methodological Frame for a Novel Research Trend

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  • Anne Nassauer
  • Nicolas M. Legewie

Abstract

Since the early 2000s, the proliferation of cameras, whether in mobile phones or CCTV, led to a sharp increase in visual recordings of human behavior. This vast pool of data enables new approaches to analyzing situational dynamics. Application is both qualitative and quantitative and ranges widely in fields such as sociology, psychology, criminology, and education. Despite the potential and numerous applications of this approach, a consolidated methodological frame does not exist. This article draws on various fields of study to outline such a frame, what we call video data analysis (VDA). We discuss VDA’s research agenda, methodological forebears, and applications, introduce an analytic tool kit, and discuss criteria for validity. We aim to establish VDA as a methodological frame and an interdisciplinary analytic approach, thereby enhancing efficiency and comparability of studies, and communication among disciplines that employ VDA. This article can serve as a point of reference for current and future practitioners, reviewers, and interested readers.

Suggested Citation

  • Anne Nassauer & Nicolas M. Legewie, 2021. "Video Data Analysis: A Methodological Frame for a Novel Research Trend," Sociological Methods & Research, , vol. 50(1), pages 135-174, February.
    • Handle: RePEc:sae:somere:v:50:y:2021:i:1:p:135-174
    DOI: 10.1177/0049124118769093
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    References listed on IDEAS

    as
    1. Ivar Krumpal, 2013. "Determinants of social desirability bias in sensitive surveys: a literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2025-2047, June.
    2. Legewie, Nicolas & Nassauer, Anne, 2018. "YouTube, Google, Facebook: 21st Century Online Video Research and Research Ethics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(3).
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