A500.7.3.RB_LarsonKurt,
Quantitative Research Reflection
Quantitative methods may be used in acquiring new
perspectives of topics about which much is already known, or, as a means toward
gaining a more in-depth informative position, which may be difficult to convey
qualitatively?
Quantitative research is aimed at answering primarily
why and is complimentary not contradictory, however, both Quantitative and qualitative
research can be used in the description of the science of social reality.
Quantitative research like any research can have its
issues and inherent conditions to be considered prior to commencing a research
project.
Strengths
· Enables the
research and description of social structures and processes that are not
directly observable
· Well-suited for
quantitative description, comparisons between groups, areas etc.
· Description of
change
· Analysis and
explanation of (causal) dependencies between social phenomena
Weaknesses
· Simplifies and
”compresses” the complex reality: abstract and constrained perspective
· Only applicable
for measurable (quantifiable) phenomena
· Presumes
relatively extensive knowledge on the subject matter in order to be able to ask
”correct” questions
· Difficult to
study processes or ”dynamic” phenomena: produces static view of the reality
· Description of
actors’ perspectives, intentions and meanings difficult
Also the objectives or what is to be expected, or
gained from a particular research project should be understood.
Understanding the logic of basic quantitative
principles research, the idea of inferential statistics as a manner from which
type of sample methods, frequency and collection methods used are to be
considered. Also how the samples are to be analyzed, the data variables with
relation to two or more relationships and how they are to be addresses are
considerations the experienced researcher should consider… as well as the
researchers own reputation and subjectivity should also be considered. In other
words, all the collected data would not be worth a plugged nickel if the
researcher and collection methods were in question.
Other items considered when research planning might
include:
Planning the research and selection of the theme or
topic, items of personal interest or social significance. Does the topic have
the ability to be effectively researched and to whose interest is the research
conducted?
Is there data on previous research available to avoid
reinventing the wheel or as a jumping off point to continue on with
inconclusive or incomplete research?
Research design is another undertaking to assure the
validity of the data collected and processed. Good design is a preventer of
manipulative data usage through the use of alternative explanations and
variables, by allowing effective comparisons and sound judgments. The latter is
a preemptive measure toward avoidance of empirical support for a hypothesis
through manipulative data.
· Time dimension
· The number of
measurements
· Interventions
· Target
population and units of research items
· Generalizations
(as needed)
· Data collection
methods (and methods of securing the data)
· Comparison of
data to support contradictory and hypotheses
Participants
were in no way harmed during the data collection or process
· Participants
gave an informed consent (remembering minors)
· There was
participant anonymity
· The researchers
instilled confidence into the participants
Conclusion:
This article has addressed some of the salient points
of data collection. Much like anything else we as a society accomplish, if it
is not done in a prescribed manner free of scrutiny and above reproach, it will
loose perceived any value and usefulness.
In other words, if we as researches do not accomplish
our data collection, analysis and research by removing the appearance of impropriety
or questionable tactics, our efforts would be in vane as the data and
conclusion are not irrefutable.
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