A quantitative research project is not only a survey but a quest
for the truth regardless of the researcher’s feelings. The quality of a
quantitative research, in my opinion, is the most important aspect of the
research. If the researcher manipulates the finds to go along with their
thesis, that researcher needs to find a different carrier. The researcher is an
important part of the quality of a quantitative research because they
have the ability to interpret the data and skew the results. For example, if a
survey was done by sending out surveys by mail and the researcher took the
times that the survey was respond to then said that the later someone replied
to a survey they less motivated they were to do the survey it would skew the
results of the survey.
Quantitative research, I think, is easier to follow when
explaining the results. It is easy to understand a percentage rather than try
to interpret the findings of a qualitative study. The findings of a
quantitative research are always in the form of an explanation of the question
and the results in a number form. It is not left up to the interpretation of
the reader to figure out if the research finding was conclusive to the theory
or not. The only problem with the quantitative research is that the population
size is never big enough to justify that the entire population is in conclusion
of the results. I find that this is a problem with any quantitative statistic.
Not everyone was in the results and not everyone’s voice was heard.
Another problem with quantitative research is that it is so
simplistic; the results are always that it does or does not. It can't capture
the voice of the people survived, it can only explain that some do it this way
and others don't. This doesn't always pose a problem when trying to compare
associations and trying analyze simple things, but if you are trying to see
what people think, quantitative research doesn't have a voice.
Overall quantitative research is my preferred way to analyze data.
Quantitative research is easy to read, it is flowing, there is no
interpretation of the data , and as long as the survey group was large enough
you can have an accurate reflection on the population. It also has its
downsides as well. The results don't have give the right voice to the issue, it
only gives a comparison, and the survey size isn't always big enough.
No comments:
Post a Comment