The Database of Variables for Content Analysis (DOCA) provides accessible examples of variables and their categories (values) used in content analysis. It is hosted in an open publishing environment at the University of Zurich.

DOCA has been accessible for more than half a year, providing grounds for its evaluation. We would therefore be extremely grateful if you could take a maximum of 10 minutes to answer a few questions. This questionnaire is aimed at people who know about DOCA (or may have already used it) and people who have not previously heard of DOCA. If you don't know about DOCA yet, please have a look at the database (Link to DOCA) to learn more about it before answering the questionnaire.

We are particularly interested in the perceived benefits and areas of application, your assessment of the content, and the site’s overall usability. We would like to use these findings to optimize DOCA. Thank you!

If you have any questions, please do not hesitate to contact us:


If you already know about DOCA, please start the questionnaire. 

LINK to the survey


If you do not know DOCA, please take 2–3 minutes and browse the DOCA pages linked below before starting the questionnaire:

LINK to the survey


If you have limited time or simply need a refresher, please read the following short text, “DOCA in a nutshell,” before starting the questionnaire.

“DOCA in a nutshell”

DOCA provides entries for single variables (e.g., actors, issues, etc.) and more complex constructs, which are often measured by more than one variable (e.g., Americanization).

Each database entry follows (more or less) the following structure:

  1. A brief description of the variable or construct
  2. A brief description of the most common field of application/theoretical foundation
  3. (If applicable) References in combination with other methods of data collection
  4. A sample operationalization, including the following:
    • Information about the selected study (research question/s, analyzed medium)
    • Information about the variable or construct (level of analysis, reliability score, categories/values)
  1. (If available) the Codebook/Protocol or other relevant material

You can find relevant variables by either searching for a specific variable/construct or an author within your research area of interest. Alternatively, you can browse the five thematic sections of the database:

  • Basic variables
  • Variables for research on news & journalism
  • Variables for research on fiction & entertainment
  • Variables for research on (professional) communicators & strategic communication
  • Variables for research on user-generated media content 


LINK to the survey