Consider what you can see when the data is presented in a KWIC concordance: Ref 1: Consider the difference between stems ofĪnd here’s where the power yet simplicity of KWIC really holds potential for working with this sort of query and any coding from that.Which words are associated with particular stems or synonyms.Consider the spurious stemming that can occur e.g.Which stems are associated? (Not sure if this is visible with word tree?).
Atlas.ti vs nvivo software#
I got used to the software (adjective phrase).I used to hate the software (quasi-modal).I used the software four years ago (verb, p/t).Consider for example the important differences between how use and used can appear as a verb, a modal auxiliary :.Thanks to Kristi Jackson for her reply about this topic on the NVIvo users group for prompting this update!.Consider for example the potentially very important differences between the pronouns that precede or follow a key term that is emerging as a theme or word – for example work/working or team/s and if or how these might very between groups or align with attributes you re interested in (e.g.Which words come before or after? (visible in word tree).However, there are a bunch of things I can’t do or easily see which KWIC would enable: Of course MaxQDA does have KWIC What you can’t do or see easily with this… but could with KWIC This is one for me to look at further – thanks to Kathleen for flagging it to me to cogitate on and explore further! It’s a powerful tool that does much of the work of KWIC – but I’m not sure if the simplification comes at a cost. What you cannot see as easily are the sentences across, or any variation. The differences however are still important – while you can select the text to see connections: They show the key word in the middle and the branching before and after. Word tree is indeed *very* similar to KWIC: And from it I can go and find the word in context in the original text by clicking the link – and the word is helpfully highlighted:ĮDIT/UPDATE – from chatting with Silvana (and revisiting Kathleen’s comments in the NVivo Users Group). So double-clicking on a word takes me to the same display as previously for a stemmed text search:Īgain not bad – I get some context and information on the source. Here I’m going to focus on the representation of that information: The similar words are derived by including stemmed words – a process which has some issues associated with it which I’ll go into a little later.
![atlas.ti vs nvivo atlas.ti vs nvivo](https://www.saashub.com/images/app/context_images/13/ce095ba4b4d0/nvivo-alternatives-medium.png)
However, the appearance precludes some rather more important options KWIC enables.Īnother way to reach this sort of word search is by running a word frequency query in NVivo – which will then create a list of words along with information on their length, their count, a weighted percentage (need to learn more on that) and a list of “similar words”. This is not a bad output, I see context in a similar was a KWIC concordance and can access the underlying data immediately. Which is the results output from a text search in NVivo.
![atlas.ti vs nvivo atlas.ti vs nvivo](https://i.ytimg.com/vi/qCAB73zAjwk/maxresdefault.jpg)
![atlas.ti vs nvivo atlas.ti vs nvivo](https://www.saashub.com/images/app/context_images/16/4c0bfb1e22d9/maxqda-alternatives-medium.png)
From text to context – displaying search results in NVivo at Present Since I first encountered KWIC in a module on corpus approaches to language teaching I have recognised that it has an incredible simplicity and power compared to many other ways of showing highlighted text. I can see, without being able to understand, that there is a difference between lines 1, 2 3, lines 4 though 11 are the same, line 12 is different and lines 13 through 20 are the same in terms of the words in red that appear before (it’s R>L text, remember!) the highlighted keyword. Not only can I not read the script it is written from right-to-left, yet KWIC works. In the image above I cannot even read the script – I don’t read arabic. This image from the excellent QD in Practice event organised at Leeds University really drove home to me just how powerful and useful KWIC (Key Words In Context) concordance displays can be.