Personally,
I really enjoyed Dr. Paulus’s presentation on Tuesday. She gave us a more
holistic view of carrying out one project in ATLAS. I like the point she made
at the beginning that analytical tools don’t do the analysis for you. Researchers
are still the persons who carry out the analysis. Moreover, she emphasized that
using ATLAS doesn't associate with adopting grounded theory. ATLAS does support
coding and segmenting, but this doesn’t mean researchers need to use ATLAS for coding,
segmenting, and retrieving. Sometimes, researchers do coding and segmenting
aiming for organizing their data well. As a new user of ATLAS, I use it for
data organizing process a lot.
Dr.
Paulus mentioned that using analytical tools would make research process more
transparent. I already experienced this when I was doing my skill builder assignment
where I was trying to integrate analytical tools into the case study I have been
working on. By using analytical tool, although I need to locate evidences from
each data source to triangulate my results by myself, linking evidences in
multiple files became easier and transparent. Being transparent means easier to
track back in the future.
Dr. Paulus noted that ATLAS also supports literature
review. I am excited to explore this more, maybe, in my newsletter column assignment.
This is really important for qualitative researchers. For literature review,
there is no need to review literatures that are not relevant to the study.
However, to join into the conversation of researchers in the field, one need to
show how does the the current study relates/solves issues in the literature.
Using the function of linking multiple files in one project, connecting
literature review with the analysis process becomes easier.
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