Which
quantitative method or methods are used in the paper? Which are the
benefits and limitations of using these methods?
The paper I have read this week is called “Prevalence and determinants of Internet addiction among
adolescents”(Adiele & Olatokun 2014), and it used quantitative data to examine their hypotheses. After
going thru others theory and claimed that they did some research design to
create surveys they made a survey-based study. Thiers surveys contain an
Internet addiction test (IAT) and “EPQR-S lie scale”. The Internet addiction
test is a test developed from previous studies, and “EPQR-S lie scale” is a way
to see if the participants are potential liars. EPQR-S lie scale contains “yes
an no” questions that most of the people will answer “yes” on, if they tell the
truth. Its questions like “have you ever made your parents disappointed?” or “have
you ever cheated in a game?” If a participant says “no” on too many questions,
that participant will be seems as a potential liar, and the survey from that
participant will be claimed as invalid. Could be a smart thing, but I don’t
know for sure how well it works.
It could be good to have the kind of
test as previous studies, because its more easy to compare the results from
other studies, it is even possible to merge different studies to a big study,
if the participants from different studies get the same question. Limitation
with surveys is that it hard to get details from the participants, and thing
that happens unconsciously.
What
did you learn about quantitative methods from reading the paper?
The opportunity to find out if someone
is a potential liar on a survey is something I never heard of before. Even if I
don’t know how well it works, it’s something that I find really interesting and
something worth to look further into. I do think it’s common that people try to
avoid the truth on surveys, even if the participants are anonymous. If a
participants is example shamed about something, I don’t think everybody tell
that on a survey.
This is also the first time I read a
paper where the authors take a test that already exist, and not developed a new
one for there own purposes (even if they modify some questions little for more
clarification). It could, as I said be a smart think to do, if the test is good
enough for the current study, because the possibility to compare or merge it
with other studies.
Which
are the main methodological problems of the study? How could the use of the
quantitative method or methods have been improved?
I think the paper in some way failed
in use of the quantitative method, because it’s important to show all
calculations right, and data in an understandable way. My biggest problem is
that I claimed that some calculation is wrong (maybe careless mistakes) witch
make the study less credibility. Like
the meaning “ left the current study with a final
sample of 450 adolescents of both sexes (47.42% males and 50.17% females).”
Makes me we wonder what the rest 2.41% are, shouldn’t males plus females be
summed up to 100%
Another meaning is “However, females 950%)”, they maybe mean
“(50%)” but I don’t know for sure. They also have bigger error, that I don’t
have place for write about here, but thanks to the bad calculations and the contradictions
in the paper I think the whole paper lack of credibility.
However, when statistics is the result from a study, I think it’s very
important to make sure that everything is shown in a good and correct way,
Short
about the text “Physical Activity, Stress, and Self-Reported Upper Respiratory
Tract Infection”.
I think it was a good text that
structured data in a clear way. I thought about how people (specially men) were
less stressed when there was a high physical activity (many MET-hour/day). For
me it’s true, but when I don’t have time for training, I have probably much in
school, work etc. and therefore stressed. When I find more free time, I will
train and be less stressed, most because I have less to do from school and
work.
Which are the benefits and limitations of using
quantitative methods?
Lot of data is obtained, and it’s
easer to make generalizations. It’s a good way to get lots of data in short
time, on things that people could easily answer in a survey for example. However details like things that people do unconsciously are hard to catch.
Which
are the benefits and limitations of using qualitative methods?
Benefits are that details are easier
to detect. Here you can get people’s opinions as well, in focus grope or
something similar. Another method is case study, which could have more observations
than a survey ever will have. However, it’s time consuming and therefore
difficult to do it many times, and hard to do generalizations.
Adiele,
I. & Olatokun, W., 2014. Prevalence and determinants of Internet addiction
among adolescents. Computers in Human
Behavior, 31(0), pp.100–110. Available at:
http://www.sciencedirect.com/science/article/pii/S0747563213003786.
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