![]() Since you can apply several codes to the same quotation, the total for a category can differ from simply adding up quotations for all subcodes. The groundedness of a category code is the number of quotations coded by all of its subcodes. This is prevented by not allowing the category code to be used for coding. If you could apply the category code and its subcodes to the same quotations, you would get duplicated quotations. So, if you want an aggregated view of your data, just select the category. The reason for this is that via the category code you can retrieve all quotations from all sub codes. Therefore, you can only insert other codes as subcodes underneath if the code is not linked to quotations. The category itself does not code quotations. These can be independent codes or subcodes that you move from a different category. Its groundedness is zero and it has no subcodes.Ĭategory Code: A code becomes a category, when you drag & drop codes underneath it. ![]() The groundedness of an independent code is the number of quotations coded by it.įree code: A free code is also an independent code, but one that has not (yet) been used for coding. They remain independent codes until you add them to a category as subcode. Independent code: If you start coding your data, and you begin with creating some new codes, those will be independent first level codes. Folders can also contain other folders.īelow each of these types are explained in more detail: You can add independent codes and categories with their subcodes to folders. If some codes do not fit in any category, they can just remain independent codes.Īn additional way to organize your codes are folders. If you want to create a hierarchy of codes, you can make use of category codes and subcodes. If you do not have the need to organize your code into a hierarchy of higher and lower order codes, you can work with independent codes. Independent Code / Category Code / SubcodeĪTLAS.ti 22 offers you new ways to organize your codes in the code system. By naming something, we conceptualize and frame it at the same time" (Friese, 2019). All similar elements can be grouped under the same name. ![]() In the process of categorization, we compare data segments and look for similarities. the main goal of categorizing your data is to tag things to define or organize them. "Coding is a core function in ATLAS.ti that lets you “tell” the software where the interesting things are in your data.
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