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The main advantages of quantitative approach., image, image, image, image,…
The main advantages of quantitative approach.
Quantitative approach in education generalities
It is an investigation
on a specific problem
through the application of a scientific approach adopted
that makes it possible to
observe
count
analyze the required information
research that can be considered scientific in nature.
Advantages
With the use of statistical data for explanations and research analysis, information can be verified, confirmed and verified with greater precision.
It allows researchers to know how to interpret the results obtained, making them more reliable, definitive and standardized.
It helps investigations to optimize the time and effort invested in analyzing and describing the results obtained.
depending on the results found
it will be easier to realize
which statistical tests can be used .
for such analysis
analysis, greater precision must be
to avoid errors and subjectivity.
It simplifies the possibility of measuring how many and how often "situations" occur.
which is
really significant for drawing conclusions.
It helps to provide the largest sample size approximations in order to determine predictive generalizations of something that needs to be tested.
A quantitative research approach can be used to conduct research that includes a control group and two or more study groups.
to be able to collect evidence that could be
essential when analyzing it statistically.
With the use of this approach comes replicability.
which focuses on hypothesis testing
based on
a well-defined plan and clear objectives
It is reasonably easy to conduct a research study by collecting data that has logical validity.
which is a simple way to assess whether
he study measures what it is supposed to measure.
Collect reliable and accurate data
by collecting and analyzing data, the results obtained will be reliable.
with the use of numbers
researchers see the subject of study in an unbiased and accurate way to analyze it objectively.
Quick data collection
data are obtained from a representative group of a population.
by analyzing through the use of statistics
save time
reduce waste of resources.
Extensive range of data analysis
with statistics as a useful tool
allows for a broader collection of data
obtained from
larger sample groups, which may be a limitation in other situations.
Eliminate bias
there is no possibility of own interpretations or preconceived ideas of the results.
The results achieved are statistical and verifiable.
Viewpoints
Despite visualizing both advantages and disadvantages of quantitative research it is still a good way to conduct research depending on what you want to get out of it.
Quantitative research is a tool that is very useful for most researchers who are looking for reliability and confidentiality in the data they collect.
In this research the researcher can be objective and with it at the same time hypotheses can be tested in experiments because of its ability to measure data using statistics which makes it more feasible to perform.
Disadvantages
As for the positivism paradigm on which this approach is based, the implications of social phenomena are nowhere to be found.
With the positivism paradigm
this approach fails to provide sufficient explanation of the reasons for the effect of certain variables or aspects on the study group within a detailed context.
does not describe how reality is "modeled" nor does it refer to how people "interpret" their behaviors.
certain aspects are not discovered under this paradigm.
may leave out significant data, making it a kind of incomplete research.
It measures variables in a particular context at a particular time without measuring those characteristics that could be consistent and contribute much to the research as well.
Quantitative research may be insufficient because it concentrates only on numbers, as there is a possibility that information may be missing that could be useful in considering final conclusions.
Some errors may occur if a hypothesis or a method for collecting and analyzing data is not developed accurately.
which can cause invalidation of the results.
The approval or disapproval of a hypothesis may be affected by the subjectivity of the researcher who already intends to approve or disapprove that hypothesis.
