The past week has been about quantitative
methods. It has made me think about how to collect data when doing research.
But more importantly, it has made me think about that the incentives for doing
data collection should be of high importance when choosing and performing quantitative
methods. Many times the method used for collecting data is something that is
taken for granted. We often know what kind of data we want to gather but often
do not think about how to do it in the best way possible. And so the method is
something that is explained in retrospect rather than chosen from the
beginning. The chosen method should be considered with care because the method
is often the part that requires the most time and resources in a research
project. However, if resources isn’t an issue it can be useful to use a rigorous method or mixed methods for getting
accurate and appropriate data.
I’ve also taken a look at the SPSS
software for managing quantitative data. I like the practical approach with
this; actually get to learn or at least take a look at software that we could
have use for after the education as well. It seems similar to excel in many
ways but more specialized on statistics and managing data from surveys etc. It
would have been useful if the use of this software was integrated in some
course earlier in the media technology program. It could maybe have been useful
for doing the bachelor thesis. However I don’t know to what extent it is widely
used and by what companies. Good to now know that it exists at least.
We have also specified our group
project further and divided the tasks and different parts within the subject
that each group member should work on.
"And so the method is something that is explained in retrospect rather than chosen from the beginning"
SvaraRaderaJoel, I agree with this notion of yours. Also why do you think that mixed research design is more demanding? I believe that sometimes spent resources can be comparable.
I suppose it's true that using mixed methods often give good results! But I also think that one shoud chose methods with care and not spend too much time and resources on something that maybe gives redundant data.
SvaraRadera