Git Product home page Git Product logo

mental-models-codes's Introduction

mental-models-codes

This repository serves as documentation of the evolution of codes and categories in a team-based [1] Grounded Theory Method investigation of data mental models. Rules are adapted from Alex Bigelow's sanitized-wrangling-codes repository.

In the spirit of open science and reproducibility, this repository is publicly visible and will be archived on osf.io, along with the participants' sketches and sanitized notes from interview sessions. As such, please make sure:

  1. No idenifiable information about participants is included in the memo/code/anything you are committing.
  2. Partially-formed codes are allowed, but in the spirit of active citation [2], please include at least one of the following pieces of evidence with your code commit:
  • for sketch observations, the osf link to the sketch and the number of the interview (e.g. Interview 007)
  • for quotes, the number of the interview and the participant's words in quotations
  • a link or paper title when the evidence is coming from a publication
  1. You commit to a separate branch (other than main) and request a review from another author before merging the pull request.

Github's record of our discussions, linked to the evolution of codes, is an important part of our audit trail so creating branches and reviewing teammember's merges is paramount.

[1] Wiener, C., & Bryant, A. (2010). Making teams work in conducting grounded theory. The Sage handbook of grounded theory, 293-310.

[2] Moravcsik, A. (2010). Active citation: A precondition for replicable qualitative research. PS: Political Science & Politics, 43(1), 29-35.

mental-models-codes's People

Contributors

kawilliams avatar kisaacs avatar alex-r-bigelow avatar

Watchers

James Cloos avatar  avatar  avatar

mental-models-codes's Issues

Regarding the "data relates to computers" code.

I think the prevalence of Windows here isn't because people relate data with computers but because people are used to file/folder systems and computers. Here it's not data as a whole but this specific case. I suggest breaking out those into their code under the umbrella of where data abstractions/mental model ideas come from.

This code might not be enough on its own, though Session 030 finds that data is related to database tables... though I think I might rather group that with the very prevalent "data means tables" -- which is separate from the "reliance on tables" subcode which I think is also an abstraction thing.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.