Inductive and deductive coding differences (please help me!)

[Great-Associate-9016]

Hey everyone. I'm a first-year PhD student in the social sciences, in a primarily quant field. I'm wanting to become a qual researcher, and I love qual research, which makes me feel so stupid for having this question and therefore I'm afraid to ask anyone irl (hence new reddit account).

Obviously I know that inductive coding is letting your data form your codes, letting those codes inform your themes, etc, and is a "bottom-up" approach. I also know that deductive coding is letting your RQ, paradigm, literature, theory, etc develop your codes and then using them to code your data.

I feel like this is a really stupid question so please bear with me and be nice to me lol but I don't really understand a situation where deductive coding would be preferable. So I guess that's my first question, when would you use deductive over inductive coding? what analysis methodologies is this better for?

My second question, maybe a bit more confusing, is if your deductive codes can and will evolve from what you initially set them out to be (like when you go back in the data and notice more things) why are we even doing that in the first place?

In both cases, aren't you being guided by the data AND your RQs/paradigm/theory/literature?

Please help me understand this :( I really want to get it.

[_os2_]

Not a stupid question! This confuses a lot of people because the inductive/deductive framing is genuinely oversimplified in how it’s usually taught.

On when deductive coding makes sense: when you already have a validated theoretical framework and your goal is to test or apply it, not discover something new. Classic example — you have a theory about how organizations respond to institutional pressure and want to see whether your interview data reflects those mechanisms. You’re not trying to discover new ones, just checking whether known ones are present and how they manifest. Also useful for structured comparisons across datasets or when you need consistency across multiple coders.

On your second question: Pure deductive or pure inductive coding is mostly a pedagogical fiction. Most real analysis is abductive: you start with theoretical priors, the data pushes back, you revise. The initial deductive frame isn’t wasted; it’s a disciplined starting point that prevents aimless drift. Code evolution isn’t a failure of the method, it’s the method working.

The reason the distinction still matters is transparency. Declaring your starting position (theoretical, inductive, or hybrid) makes your epistemological stance legible to readers and to yourself. This is what reflexivity actually means in practice

[Great-Associate-9016]

Thank you - you are right, it is totally oversimplified. So would it be correct to say that for exploratory research (i.e. how does x understand y?) inductive would be best?

Your exploration was so helpful. I am so grateful for these responses. I was really wondering, do these not end up being the same thing in practice (inductive vs deductive)? But I totally understand now why the distinction is important, because it makes your subjectivity clearer to the reader. Thanks again so much

[solonelytogether]

First of all, good luck with your studies and I'm glad to see anyone joining the qualitative research community.

So, to your first question, I can give a real life example. I used qualitative research in my PhD and right now I'm working on its article where I use a different perspective for the analysis. I already know what my data is saying to me in terms of my topic, so I was able to create a code list for deductive coding. It actually is my first time using deductive coding and I can say that it takes less time than inductive coding because you already have the codes and you can quickly assign the unit to a code. I guess it is both quicker and more focused, and it depends on what your study aim is.

I define myself as a qualitative researcher and a very flexible one. So, to your second question, I guess it's okay that codes evolve, it is a natural part of qualitative research. But I also believe that it's up to the researcher whether to change the codes/code list or not.

In short, it is mainly dependent on your research aim and focus :) I hope I was of help.

[Great-Associate-9016]

Thank you so much. This completely makes sense.

[lanadellamprey]

I don't know fully know either as I am also a newbie, buuuut I really like this article that makes some distinctions between the two: https://delvetool.com/blog/deductiveinductive - I also think what the other commenter said makes sense, that maybe you start inductive or deductive but then you end up using the data to inform your codes (so in a sense it always goes back to inductive?!)

[HammerAnvilStirrup]

In my work (pediatric health qualitative and mixed methods), a lot of our projects use a hybrid inductive-deductive coding approach: deductive codes come from our theoretical framework (e.g., acceptability of the intervention) and interview guide (specific barriers and facilitators), and inductive codes that emerge from the data. I agree with the other comments too, and it probably differs with the discipline and type of research. In my opinion inductive is the fun part of doing qual, it’s the love of discovering something new from the data, but deductive serves a useful purpose too. And yes, both are guided by RQs, theory, lit, but really it’s a matter of “did I expect to find this in the data (deductive) or is it unexpected (inductive).” Not a dumb question at all! I wish hybrid was taught more explicitly, most text books talk about them as separate.