I attended a seminar
two days ago in which we discussed how quantitative studies are used in
research papers. We were divided into small groups and were asked to present
the papers that we had read and what kind of studies that had been performed. For
some reason we all found major methodological problems in
our papers, such as one study collecting Internet behavioral data from 2003.
Even though the study itself was performed 2011 or 2012, the authors chose to
use “old” data concerning how people discuss politics (online, offline, both,
or none). We all felt that data from 2003, when the Internet still was “young”,
cannot be applied to draw conclusions about the current Internet behavior. I do
not remember the exact problems in the other studies, but we all agreed that
they all had some methodological issues. An interesting remark is that one of
our group members found a paper which used both quantitative and qualitative
method at the same time. The authors of that paper conducted deep interviews
with 20-something participants, but analyzed and presented the findings at
statistics/data. This was interesting because I have never really heard about
that method before. According to Hrastinski this is called a mixed-method.
After
presenting and discussing all our articles there was unfortunately not much
time left to pick an article to present for the whole group. We decided to pick
my article, which was the one with the least methodological problems. In short
my article evaluates if student prefer email or face-to-face communication when
they need to get in contact with their teachers or faculty advisors. The
authors collected data from 300 university students through a questionnaire,
and it is therefore a clear example of a quantitative method. From the data the
authors drew the conclusion that students prefer FtF-communication in most
cases, unless it is just a simple question that could be answered quickly by
email.
We tried to
describe the article/method through a written flow-chart, but because of the
lack of time we could not really describe the whole research process in the
detail we wanted.
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