This is my final
reflection of course “Theory and Method for Media
technology”.
I would like firstly give my reflection
of this course and then talk about different ways of combining different
methods.
Reflection of this course:
From last 6 weeks, I learned a
lot about theory and method, and I tried to attend every seminar because they were
really helpful for me to understand those complex things. The first 2 weeks
were more like philosophy. It seems far from media technology, but for me, I
learned a lot not only the meaning of those abstract concepts such as “what is
knowledge”, “what is Enlightenment”, etc. It also gives me a better way of
thinking questions, which is really good thing for build theory for the researches.
From third week to sixth week, the course focused more on research. I learned
different type of methods and how to use them. It makes me still can’t believe
how I finished my bachelor thesis without knowing them now.
The course was quite interesting,
I love the way that read something and find out the answers of given questions
which can help us to understand different methods and concepts. The seminars
were also good but I’m not good at talking unfortunately, I prefer absorb other
people's ideas. By writing reflections, I put my understanding inside them as
much as possible, which is also a good way to understand the knowledge.
To be honest, I can’t say I
understand everything these weeks. Most of the time, I need to search from
internet to find the correct definition or explanation. But I think the process
of finding the answers is quite important. Actually I remembered what I found
from internet, and they became the knowledge of my own.
Combination of different methods:
From last 4 weeks, we learned
some different methods such as quantitative method, qualitative method, and case study. I read a lot of
paper to understand what quantitative method and qualitative method is. And
sometime the paper I found has both methods inside.
Then I understood in some cases,
it is not enough to only use one method to do the research. It is important to
combine those needed methods correctly to build a mixed methods research which
expand the scope and improve the analytic power of the studies.
Mixed method research is
typically the combination of quantitative method and qualitative methods. The
ways of combining quantitative method and qualitative method could be
considered into three parts: Sampling, Data Collection, and Data Analysis. [1]
Sampling is one of the most important
ways to distinguish if the inquiry used in researches is qualitative or
quantitative where the qualitative research typically involves purposeful
sampling to enhance understanding of the information-rich case but quantitative
research involves probability sampling to permit statistical inferences.
Some example
samplings of combine qualitative
method and quantitative method are:
Criterion Sampling,
which is a sampling, involves selecting cases that meet some predetermined
criterion of importance. It can provide an important qualitative component to
quantitative data.
Purposeful Random
Sampling, which is a process of identifying a population of interest and
developing a systematic way of selecting cases that is not based on advanced
knowledge of how the outcomes would appear. It can increase credibility with
the use of a randomized sampling strategy.
Stratified
purposeful sampling, which is sampling will be used when enough information is
known to identify characteristics that may influence how the phenomenon is
manifest.
Data collection is
also an important aspect for combine different methods. As a mixed method
research, both quantitative and qualitative data
will typically be collected. The techniques of data collection are different
such as open-ended and unstructured interviewing and structured questionnaires.
To combine both methods, researcher should seek objective measures to evaluate the
validity of subjective measures.
Data analysis basically depends
on the collected data. The qualitative data are typically words where the quantitative
data are numbers. But both types of the data can be linked in mixed method.
There are different processes to
convert one type of the data to another such as:
Quantitizing, which is a process for
transforms qualitative data into quantitative data by treated them with
quantitative techniques.
For example represent
the verbal or visual data from interviews, observations, artifacts, or documents
numerically, by counting them.
Qualitizing, which is a process for
transforms quantitative data in qualitative data instead.
For example convert the table of numeric
data into narrative statements.
I would also like to point out
the advantages of mixed method research here:
Mixed method research provides
strengths that offset the weaknesses of both quantitative and qualitative
research.
It provides a more complete and
comprehensive understanding of the research problem than either quantitative or
qualitative approaches alone.
It provides an approach for
developing better, more context specific instruments.
It helps to explain findings or
how causal processes work.
There are also several
disadvantages of mixed methods research:
The research design can be very
complex.
Takes much more time and
resources to plan and implement this type of research.
It
may be difficult to plan and implement one method by drawing on the findings of
another.
It
may be unclear how to resolve discrepancies that arise in the interpretation of
the findings.
There
are some types of mixed methods research designs:
Sequential
explanatory design: collection and analysis of quantitative data followed by
the collection and analysis of qualitative data
Sequential
exploratory design: qualitative data collection and analysis is followed by
quantitative data collection and analysis
Concurrent
triangulation: only one data collection phase is used, during which
quantitative and qualitative data collection and analysis are conducted
separately yet concurrently.
Concurrent
nested: only one data collection phase is used, during which a predominant
method (quantitative or qualitative) nests or embeds the other less priority
method (qualitative or quantitative, respectively). [2]
Finally,
thank for people who read my posts and comment them, I didn't reply them but I
have read all of them. Also thank for this course, I believe this course will
help me a lot in the future.
References:
[1] Margarete
Sandelowski, Combining
Qualitative and Quantitative Sampling, Data Collection, and Analysis Techniques
in Mixed-Method Studies, Research in
Nursing & Health, Volume 23, Issue 3, pages 246–255, June 2000.
[2] FoodRisc
Resource Centre, Mixed methods research. Available from:
<http://resourcecentre.foodrisc.org/mixed-methods-research_185.html>,