Research paper: Women bloggers: Identity and conceptualization of sports
I have read the media technology research paper Women bloggers: Identity and conceptualization of sports which is published in the December 2013 issue of New media and society.
The paper has an impact factor of 1.824. The title of this paper caught
my attention since I myself was studying women in the blogosphere for
my Bachelor thesis. Also, I am interested in both sports and feminism.
The study explores the formation of self and the conceptualization of
sports in the 'Sports Blog' directory of a special women’s blog network
in the US. I was curious to investigate how the methodology was carried
out and also to read the conclusions.
In
this research paper there is only one quantitative method used, namely a 'quantitative content analysis'. This method is most commonly defined
as an objective and systematic method for a quantitative analysis of
manifest content. As opposed to qualitative textual analysis, which is
subjective and interpretive, quantitative content analysis does not make
any claims beyond what can be identified and counted in the text.
I
believe that a quantitative content analysis method is used
beneficially when to study a topic that in some way could be
controversial, or if it easily affects your feelings. What I mean is
that a qualitative content analysis is probably more subjective and
interpretive, which may in some cases affect your conclusion, either
consciously or unconsciously. For example as feminist scholars, as in
this case, you have to be cognizant that your social locations may shape
your research. I guess that is always the case, more or less. However,
taking such aspects into account when designing the methodology of the
study, you are able to increase the level of validity and reliability.
Speaking of which, one thing that stuck on my mind was the fact that the
study only uses one single method as a base for the discussion and
conclusion made. During my years as a student I have always heard that,
in most cases, it is recommended to apply methods in a mix. The
so-called 'triangulation' is a technique that facilitates the validation
of data which is received from more than one or two sources. I believe that is
something that could have been approved in this study, in order to
increase the level of validity and reliability. At least the they could
have argued why not to use other methods than the 'quantitative content
analysis'.
The
main thing learned from reading this paper is how a quantitative
content analysis could be designed. For the Bachelor thesis we carried
out a quite extensive qualitative content analysis instead, which was
more based on observation and interpretation. Back then it felt too
complicated to collect quantitative content from many sources in a
widespread blogosphere. Especially since blogs have a high personal mark
and it feels difficult to 'transform' this kind of content to research data.
After been reading this paper, I am amazed by the advanced tools for
collecting quantitative data from personal content, which are often
built-in, in the blog networks.
Research paper: Physical Activity, stress, and self-reported upper respiratory tract infection
The
reason with this study is to investigate whether upper respiratory
tract infection (URTI) could be related to physical activity and
perceived stress, or not. There were 1509 participants in the study,
aged 20-60 years. The method used is a web-based questionnaire to assess
disease status and lifestyle. Also, it assesses the physical activity
and inactivity as total MET-hours per day, as well as perceived stress
by a 14-item Perceived Stress Scale. The conclusion made is that a high
physical activity is associated with lower risk of contracting URTI, for
both men and women. Additionally, the result showed that highly
stressed people, predominantly men, appear to benefit more from physical
activity than those with lower stress levels.
1. Which are the benefits and limitations of using quantitative methods?
Quantitative
methods makes it easy to gather statistical evidence to test or prove a
proposed hypothesis. A large amount of quantitative data can be
gathered in a short time period and the results is most commonly easy to
analyze. Using population-based quantitative methods you get pretty
good sample of the population, from which answers clear and
comprehensive tendencies can be identified. Since you often receive a
large amount of statistical data from quantitative methods, these can
also bring up new insights on the issue at question. On the other hand, a drawback with quantitative methods is
that these does not primarily take into account complex and more
detailed aspects that might be of interest in the study. Also, it is
hard to verify if the respondents has misinterpreted
questions in a questionnaire, as you probably not come into close
contact with the respondents.
2. Which are the benefits and limitations of using qualitative methods?
Qualitative
methods are beneficially used when to search answers or information
about a narrow research question within a specific subject area. Advantageously,
qualitative methods is used to investigate the findings from a
quantitative method further, to verify that the statistical data is
interpreted properly. The findings often provide a deeper understanding
and insights into the research question that is investigated. A
limitation with qualitative methods is that they are often time
consuming and therefore limited to a smaller group of respondents. Consequently, results from qualitative methods cannot independently
support conclusions in a general sense.