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Creating instructional materials
Attila Krajcsi edited this page Jan 10, 2024
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You may consider the following viewpoints when you choose a textbook or other teaching material (e.g., see the book collections in our list) to adapt it for CogStat use:
- Has an appropriate copyright that allows making adaptations
- Between all or nothing to adapt
- Some materials do not include any software-specific details, so there is nothing to adapt
- For a collection of tasks with software-specific solutions, everything should be modified (or added)
- Topics that are covered
- It should match the feature set of CogStat
- Or some topics that are not covered by CogStat can be removed while the text still makes sense and considerable contribution
- It is OK if the text discusses only a specific topic
- It should match the feature set of CogStat
- Which software does it rely on
- On the one hand, this does not seem to be fundamental since we change that part
- Spreadsheet use can be important since CogStat largely relies on external data storage and management - and part of the spreadsheet use can be retained
- We can consider adding new software instead of removing the original software solutions - if the book was made with several software packages in mind
- Is the source format available and easy to modify?
- e.g., markdown format can be easy to modify, in general
- Available data
- We prefer real data over generated data
- We may consider adding a new dataset to the text
- Separated software-specific details
- It is easier to make the adaptation when the general explanations and software-specific details are separated
- Precision and understandability
- Amount of questionable details
- To the point
- Understandable for non-mathematicians
- Focusing on the conceptual background, and formulas are important only when conceptual background or justifications are given
- Expected amount of work
- Length of the parts that should be changed/added
- CogStat version
- Specify in the text the CogStat version the text relies on.
- When writing the text, consider whether the text can be updated easily when a new CogStat version is released.
- Demo data
- Make the data available in a .csv format that includes the measurement level.
- However, some .csv files cannot be read with automatic format detection (see #277). Alternatively, we may use .xlsx file (which is not a truly open file format), or .ods file (which is not a widely used and appropriately supported format). Currently, all possible solutions have their drawback.
- The data will be added to the demo data set.
- Make the data available in a .csv format that includes the measurement level.
- Consider changing the sections' order to fit the CogStat design principles better.
- Refer to our documentation site when additional information could be relevant.
- Use the default chart theme versions because that is what users (or new users) usually see.
- Use the user interface language with the language of the text if that language is available in CogStat.
Statistical and methodological documentation
- How to contribute?
- Automatic analysis pipeline
- How to compile the results?
- Methodological considerations behind CogStat - preprint paper
- CogStat function plan template (limited access)
- Creating instructional materials
- Data analysis and statistics resources
Documentation for developers