Quantitative Ethnography Open Science Survey
We believe that it is important, especially for a nascent community, to have access to a "disciplinary mirror", to be able to see what others in the field are doing and how they are doing it. This not only provides information on the community as a whole, but also contextualizes the work of the individual.

Thus, we are turning to you, authors who have already employed Quantitative Ethnographic methods, and asking you to fill out the questionnaire below about your work. One form pertains to one published work; if you have more than one publication, please take the time to fill out a separate form for each.

It is very important that you ONLY USE INFORMATION that is EXPLICIT in your publication! With some of these questions, you may be tempted to explain your methods or ideas further; please note we have designated a separate section at the end of the form for this.

The form contains both closed and open-ended questions; for the latter, please feel free to include any and all relevant information. Do this by copy-pasting text from your article; if multiple sections from your article are copied into the same answer, please use slashes to indicate that a new pasted section is beginning, e.g.: "1st copied section text fragment // 2nd copied section text fragment"

Thank you for taking the time to fill out this form! Know that with this, you are aiding the professional development of the Quantitative Ethnography community and helping us construct a more precise mirror of the work that has already been done.

Data about your publication(s) will be added to our Gitlab repository within one week of completing this form:
https://matherion.gitlab.io/qe-sysrev/

Who is aggregating your data?
Savannah Donegan (U Wisconsin-Madison), Brendan Eagan (U Wisconsin-Madison), Anna Geröly (ELTE, Hungary), Anna Jeney (ELTE, Hungary), Susan Jiao (U Wisconsin-Madison), GJ Peters (Open U of the Netherlands), Clare Porter (U Wisconsin-Madison), Szilvia Zörgő (Semmelweis U, Hungary)

Do you want to work with us in analyzing this data? Let us know!

If you have any questions or concerns, you can reach us at: zorgoszilvia@gmail.com
Disclaimer
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Please give the full citation of your work (author/s, title, journal/book, date, volume, edition, page numbers, doi if available) *
What were your main research questions or objectives? ((Remember to only include information that is explicit in the study!)) *
What type(s) of raw data was collected? *
Required
How was the data collected? *
Required
Who or what are the sources of the data? *
Required
What metadata (i.e. attributes) was recorded for the sources of data? (Timestamps, sociodemographic characteristics, group affiliation, etc.) ((Remember to only include information that is explicit in the study!))
Did you use a sampling strategy? How did you decide on the specific participants or sources to include? ((Remember to only include information that is explicit in the study!))
What was the sample size, i.e. the total number of human participants (or other sources of data used in the study)?
What variables were you interested in within your study? (e.g. what were the differences among individuals, groups, or sources that you focused on?) ((Remember to only include information that is explicit in the study!)) *
What type of coding did you use? ((Remember to only include information that is explicit in the study!)) *
How was the coding structure created? (Any details on the creation or utilization of the code tree) ((Remember to only include information that is explicit in the study!))
How many low-level codes were employed (i.e. possible nodes in a network or possible sentiment scores, etc.)? *
How was the data coded? ((Remember to only include information that is explicit in the study!)) *
Who coded the data? ((Remember to only include information that is explicit in the study!)) *
How many raters coded the data? (Include a computer as a rater, e.g.: two humans + 1 machine = 3 raters) ((Remember to only include information that is explicit in the study!)) *
Was inter-rater reliability calculated? *
How was segmentation achieved? *
How did you define an utterance? (An utterance is the smallest meaningful unit of discourse; it can be a sentence, a paragraph, a minute, a second, etc.) ((Remember to only include information that is explicit in the study!))
How did you define a stanza? (A stanza is the level of discourse based on which code co-occurrence is calculated) ((Remember to only include information that is explicit in the study!))
How did you define stanza window length? *
How did you define a unit? (A unit is the largest meaningful segmentation in the examined data; e.g. individuals or groups) ((Remember to only include information that is explicit in the study!))
How was your data analyzed? What analytical methods did you work with? (e.g. Epistemic Network Analysis, Sentiment Analysis, Process Mining) *
How was Quantitative Ethnography and/or Epistemic Network Analysis conceptualized or defined in your article? And why did you use it? ((Remember to only include information that is explicit in the study!))
This section is designated for any other comments you may have! Perhaps you have changed your ideas concerning how you see Quantitative Ethnography? Perhaps you would have defined your units or utterances differently? Please feel free to share anything about the evolution of your work since publication!
Thank you for taking the time to fill out this form!
Check our repository for details on your work and others': https://matherion.gitlab.io/qe-sysrev/
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