MAXQDA is a software program that is comparable to either NVivo or Atlas-ti. One thing that makes MAX somewhat different is its options for using color to highlight text and-or codes, which gives it some of the feel of using markers
I work with visual methods, and from that point of view I am going to answer your question. One missing thing with software of qualitative research and visual methods are the absence of undersentand the visual elements of the picture or the video. Nvivo could tag part of a picture, but still in a very primitive way, and this particular thing is impossible with a video.
Visual data, actually, are understand that a whole and lonely element; but in my experiencie, the pictures and video are an enclosure of mixed data. You could make links between pictures or fragments in different pictures and make the analysis (now i make this with paper, glue and pencils).
In the photographic side, i expect more tools to explore freely inside de visual data, kewords, particular keywords in elements, zones, etc.
In the video side, i expect more tools to analyse and link elements inside each video captured, take fragments and relate things. (Final cut pro X from Apple, has an interesting tool; mark segments of each video and tag them, accepting that part of the video or dismissing it).
I've taken NVIVO and SPSS classes, and I agree with Rhoune that organizing is not the same as analyzing. I'm studying/researching in Zambia next year and I think I'll go with the old-fashioned methods-- audio and video documenting, and transcribing them and then using colored markers to find themes. And then giving it to colleagues to do the same thing. With iffy internet and not feeling like these two programs really are not any better than my markers, I'm going to wait for something better to come along. Luis, your English is just fine, and I totally agree with you on the photos and videos not having many options, but I like your Final cut pro X idea! David, I'm not familiar with MAXQDA; how does that work?
MAXQDA is a software program that is comparable to either NVivo or Atlas-ti. One thing that makes MAX somewhat different is its options for using color to highlight text and-or codes, which gives it some of the feel of using markers
Most software programs are more or less static, dividing the screen into windows (text, codes, memos). A real improvement would be to construct interactive programs which will lead you step by step (screen by screen) through the text analysis (like an installation program). We recently have done this for the techniques of Qualitative Content Analysis and made it available in open access (www.qcamap.org).
Very interesting question. By releasing QDA Miner in 2004, we didn't want to offer the same features as other software already on the market. We implemented features for analyzing qualitative data, finding patterns, using exploratory statistical techniques. We also added a report manager feature to support the writing process. We implemented a lot of computer assistance features to code more quickly and more reliably large sets of qualitative data (clustered coding, code similarity search, query by example search). Yet, some qualitative researchers do not like getting too much computer assistance. To the question "How much computer assistances are qualitative researchers willing to accept?" I can say that for several of those, the answer is "As few as possible." We have decided otherwise and will continue improving computer assistance features for those who need to code large amount of text data.
BTW, QDA Miner also recently added a Polish interface. We actually released it sooner this week (minor adjustments will likely be made in a near future).
I would interpret Rhoune's response as saying that she would be one of the people who want more assistance with their analysis. which is also where most of my students would be located. They are basically frustrated with the fact that programs stop at the categorization of the data,.
As far as categorizing or "marking" the data goes, most of the existing programs are based on paper and pencil techniques, so they don't claim to offer large advantages over the traditional approaches to coding. (But I haven't experienced Philipp's QCAmap so it may offer more than that.)
Where I do find an improvement over the paper and pencil approaches is in the search and retrieval functions. If you have lots of data, it can be very frustrating to go back through your highlighting to figure out who said what. But all of that still leaves the process of conceptualizing up the analyst.
In that regard, I agree that Normand's program QDA Miner has tools that most other programs lack. The main ones I'm familiar with are based on analysis of the code-to-code "co-occurence" matrix -- including cluster analysis and multi-dimensional scaling analysis.
Normand, what else would you call attention to from QDA Miner?
There hasn't been any notable development of software for Mixed Methods because most of what has happened in that direction involves expanding the features in classic qualitative data analysis programs.
Two of the more full-featured programs that promote their ability to do Mixed Methods are MAX and Dedoose. What they offer is, to my way of thinking, a rather limited version of Mixed Methods. In particular, they allow you work with detailed quantitative data about each case in the dataset (e.g., a set of interviews where each document is a case). In other words, they target the specific subset of Mixed Methods designs where you have both qualitative and quantitative data available on the same set of cases.
Even in that situation, it is hard to hard to match the Ns for the two kinds of analysis. For example, you might want an N of 100 or greater for quantitative analysis, while in-depth qualitative analysis could be overwhelmed with an N as high as 20.
Thematic Analysis is one of the most important issues in the methodology and methodology of carrying out research processes. It is scalable and can be adjusted to the specifics of scientific research.
however, it requires fine-tuning on student methodology descriptions.
I fully agree with the opinion Dear David L Morgan.
Dear David L Morgan, Thank you very much for making very important inquiries on the Research Gate portal.