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1. #DATA ANALYSIS METHODS FOR QUALITATIVE RESEARCH HOW TO#
2. #DATA ANALYSIS METHODS FOR QUALITATIVE RESEARCH SERIES#

We've done more than two dozen thus far and here are the links to the podcasts specifically about qualitative research: "MR" is short for marketing research and Dave and I discuss a wide range of topics related to marketing research with special guests.

#DATA ANALYSIS METHODS FOR QUALITATIVE RESEARCH SERIES#

One is David McCaughan, who is my co-host on our audio podcast series MR Realities. Though I am not an expert in qualitative research, many of my contacts and business partners are. However, even with this limitation it can be invaluable in helping design and interpret quantitative studies and uncovering insights no quantitative method is able to. My own view is orthodox: generally speaking, qualitative should only be used as an exploratory tool and conclusions and implications should be more tempered than in quantitative research. Treating speculation as fact is a cognitive error we all make, but I encounter this more among qualitative researchers.Īnd, of course, we all can be guilty of condemning sweeping generalizations with. A third criticism often leveled by "quants" is that analysts sometimes draw quite strong conclusions based on their own intuition rather than evidence. Unexamined assumptions is another pet peeve of mine, and qualitative researchers seem more prone to this than quantitative researchers. In some cases, lack of training or inexperience is the culprit. Others just don't seem to have it as researchers but are good at client handling, so they get the work. A few folks doing qualitative are amateurs, to be blunt. One of my main criticisms is that the level of expertise among practitioners is unpredictable. There are many other ways qualitative can help inform quantitative research, but a fuller elaboration would require much more space than I have here.Īny kind of research has its pros and cons and qualitative is no exception.

#DATA ANALYSIS METHODS FOR QUALITATIVE RESEARCH HOW TO#

For example, in the case of marketing, it helps us understand how to communicate to consumers, not just whichconsumers to target. Having some knowledge of why people do what they do in certain circumstances can help us both in building and interpreting our final model. Consumer behavior can also vary for the same person by occasion or over time, too, as preferences and life circumstances change because of marriage, childbirth, job promotions, re-locations, health concerns, and so on.

However, they may also buy the same brand for different reasons ( Miller Lite tastes great versus Miller Lite is less filling), or buy different brands for the same reasons ( Miller Lite tastes great versus Bud Light tastes great) or buy different brands for different reasons (Miller Lite is less filling versus Bud Light tastes great). How is qualitative research useful? There are many ways and here are a few illustrations.įirst, we should remember that two people may buy the same brand for the same reasons ( Miller Lite tastes great).

Consumer surveys do as well and frequently these two kinds of research are combined, with a qualitative phase preceding the survey and sometimes following it in a third phase.

Qualitative research provides background and context that makes quantitative analysis such as predictive analytics more useful to decision makers. The closer what we do is to marketing research - user experience (UX) and customer relationship management (CRM) being two examples - the more useful it becomes. Unless our area of data science has no relationship at all with human beings, it's is very relevant to quantitative researchers. However, I’m a user of qualitative research and have been throughout my career. Though I’ve had training in qualitative methods, I’m a quant specialist and have been for more than 30 years.