On Tuesday,
Dr. Contreas joined to our session and
introduced Atlas.ti. Because of
Atlas.ti is a very big package, he talked about basic functions of Atlas.ti
researchers might use. Atlas.ti might serves as “ textual laboratory” in which
researchers can do various tasks such as annotations, create concept maps,
analyze both qualitative and quantitative data.It seems like Atlas.ti is very supportive in analyzing all types of qualitative data including text, recordings, video, memos, pictures and etc. The nice thing is researchers
can open four different types of data and work on them simultaneously. That
means Atlas.ti allows more interaction between researchers and their data.
However, it is a huge package and requires time to learn and use all functions
of Atlas.ti. Therefore, I particularly want to explore creating code mapping in
Atlas.ti.
In the second
part of the class, we had discussions in the small groups. One of the issue
that stood out to me is the language of research studies. We talked about how language is important to
access public and target populations. We also discussed who our audiences might
be and how we should call them. Should we use academic language in our research
studies or traditional language? Should we need to access any individual in the
society? Should our research address to people in academia?
We will definitely continue exploring ATLAS.ti.
ReplyDeleteAlso, I really appreciate your questions related to language and research. Language certain opens up possibilities and closes down opportunities. It always functions to do something. As we think about who accesses research historically, we know that generally it is a small enclave of individuals (typically fellow academics). Thus, a challenge in front of all of us is to think about how we can expand who engages with our work -- be it through creating multiples iterations for different audiences or changing the norms around publishing.