Abstract
The tremendous technical progress made in recent years means that we can now take amazingly high-quality photos and video recordings with commercially available smartphones. And this, in turn, has opened up new opportunities for empirical research and the areas of field research and educational research in particular. Now virtually all researchers can produce high-quality video recordings in the field—at no cost. Consequently, there has also been a steadily growing need to be able to analyze this type of data material scientifically and to treat it in a similar methodological manner to interview or focus groups. As a method of data collection, video has of course led to great progress, especially for research into nonverbal behavior. In contrast to previous logging of observations, it is now possible to watch scenes repeatedly and have them coded by several people at different times, which significantly improves the quality of the analysis. In addition to working with videos, this chapter will also cover how to code and analyze still images, such as photos and screenshots of web pages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Heath, C., Hindmarsh, J., & Luff, P. (2010). Video in qualitative research. Thousand Oaks, CA: SAGE.
Knoblauch, H., Soeffner, H.-G., Raab, J., & Schnettler, B. (Eds.). (2012). Video analysis: Methodology and methods: Qualitative audiovisual data analysis in sociology (3rd ed.). Frankfurt am Main: Lang.
Rose, D. (2000). Analysis of moving images. In M. W. Bauer & G. Gaskell (Eds.), Qualitative researching with text, image and sound (pp. 247–262). Thousand Oaks, CA: SAGE.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kuckartz, U., Rädiker, S. (2019). Coding Video Data, Audio Data, and Images. In: Analyzing Qualitative Data with MAXQDA. Springer, Cham. https://doi.org/10.1007/978-3-030-15671-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-15671-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-15670-1
Online ISBN: 978-3-030-15671-8
eBook Packages: Social SciencesSocial Sciences (R0)