- Which quantitative method or methods are used in the paper? Which are the benefits and limitations of using these methods?
- What did you learn about quantitative methods from reading the paper?
- Which are the main methodological problems of the study? How could the use of the quantitative method or methods have been improved?
Journal: The Journal of Epidemiology and Community Health
is a journal that covers applied, methodological and theoretical issues. The
journal aims to improve epidemiological knowledge on health worldwide.
Article: Possible association between heavy computer users and glaucomatous visual field abnormalities: a cross sectional study in Japanese workers, M.Tatemici, T.Nakano, K.Tanaka, T.Hayashi, T.Nawa, T.Miyamoto, H.Hiro, M.Sugita, 2004.
Foreword: I chose an article of “age” (very young in scientific standards) because I find that the integrity I find in articles dating back a decade or so is generally larger than of today’s articles.
The article focuses on the possible relationship between heavy computer use and visual field abnormalities. The question at hand is weather heavy computer users have an increased risk of glaucoma.
1. A number of randomly selected Japanese workers (about 10 000) were tested for visual field abnormalities while also undergoing a medical check up. They also replied to a survey and were interviewed about their computer use. This method was mathematical and analytical.
2. As I read about how the survey was laid out, the questions involved, I realized this study was well thought out in theory but really lacked conclusive evidence to support this theory in pursuit. In this particular case, the theory was wild and therefore blindly tested through an empiristic study. The study showed some result that was feely subject to interpretation, but not at all clearly, mathematically likely.
What this study in particular takes into consideration is “what are the qualities of the people we are testing?”- not “what are the qualities of people in general”. As empiristic studies usually show, the focus is on something in particular.
3. This study could have been broader, with subjects from different cultures. As computers in those days were limited (when considering ordinary people) to the “western world” the stress levels of the test subjects were not taken into consideration, for instance. In this particular study, the answers were also sought after to support a theory that had already been established and so I can’t help thinking that maybe the results of this particular study might have been intentionally interpreted in a biased way…
In this case the subjects were a quantity of 10000 people. This might seem like a lot of data leading to an accurate result, however whenever you add to the pot, you upgrade the level of understanding the pot as well. By this I mean the difference between 500 people and 10000 people is that testing the later you have to be preared to also take 200 times more issues into consideration. People are not robots, copied and pasted. They are, in fact, individuals (however manipulated by society they might be).
- Which are the benefits and limitations of using quantitative methods?
- Which are the benefits and limitations of using qualitative methods?
Hi Sara!
SvaraRaderaIt's a very relevant study you've picked. Many people spend so much time in front of the computer and it ought to cause some visual harm over the long run. I worry about it sometimes myself.
What kind of questions was it on the computer usage? Except amount of time spent etc, since it's a medical study, where there questions about the distance between eyes and computer screen or number of breaks, for example? I wonder if such factors actually make any difference. You wrote that they had a medical check up. I'm thinking that maybe physical activities and the diet also are factors that can be affecting. But since the paper were of "age" and computer use wasn't as broad then, I would guess that such questions were not thought of.
I also want to add that you explained it well how the more respondents you have, the more issues you may get when trying to analyze the data. Every respondent is an individual with their own way of thinking, etc.
They focused on the issue of computer usage as a possible contributing factor to glaucoma. However, there are lots of other factors that weigh heavier, such as genes, physical traumas and/or other diseases (caused by lack of education or lifestyle habits). They did not, as it seems, really take into consideration who compromises their health as to how much they use computers. For instance, one factor they mention as a failure was the fact that many of the heaviest computer users were, in fact, computer engineers, with high education and somewhat good standard of living. Furthermore they mention that they only asked people at two separate companies where they assumed computer usage was residing. They wrote "next time we'll focus more on completely random people with computer skills". They found out, though, that about 5,5% of heavy users that were male had tendencies for refraction errors or glaucoma. No women! :D
SvaraRadera