HYPERRESEARCH FREE CODE

Since spreadsheets don't provide an intuitive or robust way to link data between spreadsheets, you'd have to do that connective work by hand. So you'll have spreadsheets for observations, for interviews, etc.

Creating a spreadsheet for each datatype.

You'll end up doing one of the following: Spreadsheets only offer two dimensions, and that means you're very limited in how you analyze the data. So how do you make sense of all this? Let's start with some don'ts:ĭon't use Excel or other spreadsheets.

HYPERRESEARCH FREE CODE

You can code in several different ways, but let's keep it simple and think of coding as free-form tagging. In addition, you typically have administrative data such as information on participants (I include first and last name, pseudonym, and title at minimum).įor each of these data, qualitative analysis includes coding. You might also use other data, such as system logging. Artifacts (usually digital photos or paper that can be scanned I have also recorded ambient noise at sites.).Interviews (audio recordings and transcriptions).When you're analyzing qualitative data, you might have several different kinds of data. So how do you save $400, $500, or even $900 on your next qualitative research project? It takes a little setup, but you can do it. It offers better print formatting, more flexible data analysis, and multiple interfaces that can be chosen for the specific type of analysis or data entry. I'm coming back to this solution for managing the data in my latest study, a study of collaboration and project management at high tech organizations. This work followed me across three platforms (Linux, MacOSX, OpenZaurus), and it didn't involve an off-the-shelf qualitative research tool. The interface was clunky.īut between those two times, I managed to analyze 89 sets of observations, 84 interviews, and assorted artifacts. I used it for two studies and again, I was not impressed: in some ways it was very limiting, particularly in terms of relating various types of data and coding. Again, UT sprang for the $400 needed to buy it.

Much more recently, I decided to try HyperResearch on the advice of a grad students from Education. So I installed it, played around with it, was not impressed, and abandoned it.

It was going to change the way I did research. When I came to UT in 2001, I had the university spend $500 on one popular QDA tool, NVivo. Qualitative data analysis tools are expensive.

Hyperresearch free