Dear Tinh Ta,

Constant Comparative Method (CCA) has been perceived as a method been exclusively used with grounded theory. However, I have come across a number of studies wherein CCA has been used outside GT. And rightly so, since CCA is carried out to ensure that the data been collected is continuously compared with other data during the analysis process. Unlike quantitative methods, the data collection and analysis go on simultaneously hence the constant comparison is required anyways. I would recommend you t read an article by O'Connor et al. (2008) which explains this in much more detail. I am also presenting a quote from the article that may help you:

'It must be clear that constant comparison, the data analysis method, does not in and of itself constitute a grounded theory design. Nor does the process of constant comparison ensure the grounding of data whether “grounding” is used in a positivistic or interpretive sense. Simply put, constant comparison assures that all data are systematically compared to all other data in the data set. This assures that all data produced will be analyzed rather than potentially disregarded on thematic grounds. It is the time and the process of this constant comparison that determines whether the analysis is deductive and will produce a testable theory or whether the analysis is inductive and will build a theory for a particular context. (p. 41)'

Hope this helps. All the best.

REFERENCE:

O’Connor, M. K., Netting, F. E., & Thomas, M. L. (2008). Grounded theory: Managing the challenge for those facing institutional review board oversight. Qualitative Inquiry, 14(1), 28-45.

The original Strauss & Corbin "coding paradigm" from 1990 (contexts and conditions etc.) was largely abandoned in the later editions of their book, and was never broadly accepted others. So, I suggest you look at more widely accepted approaches to GT, such as Charmaz's work, where what she calls initial coding (and everyone else calls open coding) is followed by theoretical coding.

Having said that, however, I have to wonder whether your problems with the original coding paradigm were due to trying to fit too many theoretical categories into your model. In other word, you may need to do more work on creating a compact set of categories in order to generate a workable theory.

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Constant Comparative Method (CCA) has been perceived as a method been exclusively

Part of the answer depends on your source data. If you choose to use interviews, for example, you could use simple theme analysis. Here is a process I have used. It refers to "text" analysis, but it is relevant to interview data.

Method Critical Text Theme Analysis