_DOCA compiles, systematizes and evaluates relevant content-analytical variables of communication and political science research areas and topics.
_DOCA offers a starting point for the operationalization of content-analytical questions and thus, provides a basis for standardization (where possible and useful) and also comparability of content analytic studies.
_DOCA aims to contribute to equal opportunities between all researchers in this field by providing free access to important resources.
#openscience #openmethod
DOCA is hosted and supported by HOPE - Main Library Open Publishing Environment of the University of Zurich. Special thanks!
Editors:
Franziska Oehmer-Pedrazzi (principal editor), University of Applied Sciences of the Grisons FHGR
Sabrina H. Kessler, University of Zurich (editor & database manager)
Edda Humprecht, Norwegian University of Science and Technology | University of Zurich
Katharina Sommer, Zurich University of Applied Sciences ZHAW
Laia Castro Herrero, University of Zurich | Universitat Internacional de Catalunya
Company Details
- Industry
- Research Services
- NAICS
-
Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Website
- https://www.hope.uzh.ch/doca
- Keywords
- DOCA compiles.
Doca - Database Of Variables For Content Analysis Questions
Doca - Database Of Variables For Content Analysis's website is https://www.hope.uzh.ch/doca
Doca - Database Of Variables For Content Analysis's LinkedIn profile is https://www.linkedin.com/company/doca-database-of-variables-for-content-analysis
Doca - Database Of Variables For Content Analysis's industry is
Research Services
Doca - Database Of Variables For Content Analysis's top competitors are
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Doca - Database Of Variables For Content Analysis's categories are Research Services
