I chose the paper Students’
Perceptions of E-Mail Interaction During Student-Professor Advising Sessions: The
Pursuit of Interpersonal Goals, which was published in the Journal of
Computer-Mediated Communication. The aim of this study was to assess if students
prefer e-mail over face-to-face (FtF) communication for interpersonal
communication with faculty advisors. A questionnaire
was sent to 300 students at a university in the northeastern United States,
asking them to answer questions about how often they use email, if they prefer
email over FtF, their perception of self-presentation in emails, etc. It is
clear that this is a quantitative method, since there are no in depth
interviews and the questionnaire is sent out to a relatively large group.
I
learned how quantitative methods could be used to not only to answer the main
research question, but also to evaluate differences between sub-groups of the
sample. I think one weakness in the use of the quantitative method is that the
sample group might be a little too small to conduct sub-group analysis on. Even
though there were 300 respondents in total, the number of African American males
(which was analyzed as a sub-group) was much smaller. In order to get
statistically reliable results the size of the subgroups (and therefore also
the total number of respondents) might have to be increased.
The paper Physical
Activity, Stress, and Self-Reported Upper Respiratory Tract Infection evaluates
how the incidence of upper respiratory tract infection (cold/influenza) is
related to the subjects’ level of physical activity. Data was collected from
1509 Swedish males and females in the age 20-60 years old. The results suggest
that there is a strong negative correlation between the occurrence of URTI and
the level of physical activity. People who report high levels of physical
activity in their everyday lives have an 18 percent reduced risk of URTI
compared to people with low levels of physical activity. Even though this paper
is far outside the area of media technology I found it somewhat interesting to
read. I like to see how “real” scientific papers are constructed in terms of
methods, language, presentation of results etc. Also, something that I found interesting
is that one of the authors, Mats Lekander, did the statistical analysis for my
dad’s PhD thesis. I have also worked with him a couple of times at the
Karolinska University Hospital in Solna.
A good example of a quantitative method would be the “partiundersökningar”
/ election polls that are held each month in Sweden. In these polls there are
usually a thousand or two thousand people that are being asked which party they
would vote for if the elections would be held today. I think that the main benefit of a quantitative
method is that it helps you to get a broad overview of a subject. If a sample
group of people is a representative for the society in general, the results
could be extrapolated and applied to much bigger groups (perhaps Stockholm or
Sweden). Downsides of this method are you often get very “raw data” or numbers
from the results. A study with thousands of people has to be constructed in a
very general way so that the results can be statistically analyzed. Therefore
you might miss out in important information or subtitle opinions of people. Going
back to the election polls, we see that a quantitative survey will produce a
statistically reliable data of which party people would vote for, but it would
not explain why people vote as they do or how they perceive the different
parties.
Qualitative methods on the other hand are perfect for
in depth knowledge and personal interviews with subjects. Aging using the
election polls as an example, a qualitative study could be personal interviews
that are made after the quantitative study to collect more in depth data.
Benefits of these methods are that you get a deeper understanding, and
interview subjects could provide you with valuable “plain text” answers instead
of just raw data. The interview does not have to follow a strict script, and the
direction of the interview could be changed in real time with for instance
follow up questions. Limitations of qualitative studies are that small groups
of people might not yield statistically significant / reliable results. Also,
it is very hard and takes a lot of time to present the finding of in depth
qualitative interviews in a good visual way.