The
research paper I have chosen for this week was published 2012 in the journal “Computers
in Human Behavior” with an impact factor of 2.067. The paper by Reynol Junco
titles: “Too
much face and not enough books: The relationship between multiple indices of
Facebook use and academic performance”. The purpose of the study was to examine
if there is a relationship between the Facebook use of students and their college
grade point average (GPA).
Quanitative
method used:
The author
used the quantitative method “Web-based questionnaire” in order to generate a
large sample and make the paper comparable to prior studies. The survey was hosted
on “SurveyMonkey.com” and sent via E-Mail to N=3866 US students where n = 1839 answered
the questions, which is an uncommon high response rate of 48 %.
Benefits:
The main
benefit of this method is that it provides a big amount of precise,
quantitative, numerical data which is relatively quick and without any great
effort collected while reaching a large sample. Furthermore, the data can be
directly downloaded as an SPPS file which makes the analysis of the results
less time consuming. As a last point, the results are comparable to other
studies using the same study design or the study itself can be easily
replicable.
Limitations:
The main
limitation of this method is that expression of motives, views and opinions cannot
be taken into account (or only limited). This is the reason why this method is mainly
used to test hypothesis while it doesn’t facilitate the development of new
theories or approaches to explain a phenomenon or generate in-depth information.
Another limitation can occur due to the misuse of sampling or weighing, which
can harm the validity and reliability of the research study. In this particular
case, the study was conducted via the Internet and only students who had access
to the Internet could participate as well as only Facebook user’s were taken
into account. This might affect the validity of the study.
I learned:
While
reading the paper I learned that quantitative research involves a lot of
statistical knowledge in order to being able to interpret the results in the
right way. It is not that easy to just think of a few questions and start an
online survey. Many factors have to be taken into consideration while
formulating the questions as well as which parameters and variables you want to
measure. For the analysis of the data and to make the best use of it you need a
basic knowledge of mathematics and programs such as SPSS.
Main
methodological problems of the study:
With the provided
data the author was able to find a correlation between the Facebook usage of
students and the overall GPA. However, it was impossible to determine the
direction of the effect. In the end the author was not able to state whether
the Facebook usage caused a low GPA or students with a low GPA used Facebook
more often. The quantitative method could have been improved by having a few
questions on how the students think that Facebook effects their school
achievement. It would be also possible to combine the quantitative method with
a qualitative method and conduct in-depth-interviews to get behind their
opinions, views and emotions to detect the real causes. Another problem is that
the study was only conducted in the US and only via online, so that the cultural
context and the accessibility of Internet limited the scope of the study. This
could have been avoided by replicating the study in different countries, with a
paper-based questionnaire allowing non-Facebook user’s to participate.
In the
paper “Physical
Activity, Stress, and Self-Reported Upper Respiratory Tract Infection”, Lagerros
et al. examined the relationship between physical activity and the upper respiratory
tract infection (URTI). For their study the authors used a Web-based
questionnaire which is an quantitative method.
Benefits
and limitations of quantitative methods:
From
reading the paper I could confirm my prior thoughts on the benefits and
limitations of quantitative methods. The main benefit here was that they could test
a hypothesis with statistical data and formulate if the result is statistically
significant. In addition, they generated data which led to other assumptions about
the phenomenon which they didn’t think of in the first place. On the other side,
they needed a representative sample to generalize their findings, which
involved a large amount of interviewees that had to be present during a specific period of time.
Benefits
and limitations of qualitative methods:
In regard to
this paper, qualitative methods can be used to analyze data from quantitative
research. Apart from that, qualitative methods can give you a deeper insight
and more detailed information about a specific topic or reveal new knowledge
which can lead to formulate hypothesis. Its main limitation though, lies within
its inability to make any generalizations because of its limited scope and
sample.
References:
Junco, Reynol (2012): Too much
face and not enough books: The relationship between multiple indices
of Facebook
use and academic performance. Computers in Human Behavior. 28 (1), 187-198.
Fondell, E., Lagerros, Y. T.,
Sundberg, C. J., Lekander, M., Bälter, O., Rothman, K., & Bälter, K.
(2010). Physical activity, stress, and self-reported upper
respiratory tract infection. Med
Sci Sports Exerc, 43(2), 272-279.



