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Quantitative Research Methodology
Jonathon Akers
Department of Health Sciences, Liberty University
PSYC255:Introduction to research
Professor Bishop
June 28th, 2025
Quantitative Research Methodology
In academic and professional settings, Quantitative research is an essential tool for
gathering, analyzing, and interpreting numerical data. This method allows researchers to test their
hypotheses, determine the relationships between variables, and to make generalizations and
assumptions based on statistical results. The intent of the essay is to discuss the concept of
quantitative research, examine different methodological approaches, explore its advantages and
disadvantages. It also evaluates an outside scholarly source in relation to in-course materials. The
essay concludes with a summary of key points and the value of quantitative methods in research.
What is quantitative research?
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Quantitative research is a way of studying things by
collecting and looking at numbers. It helps researchers find
patterns, relationships, or answers to specific questions. This
method uses tools like surveys, experiments, or tests to
gather information while maintaining consistency. Because it's focused
on numbers, the resultsare usually easier to organize,
compare, and share. It also helps researchers stay objective,
meaning they’renot
letting personal opinions affect the outcome (APA, 2020).
Approaches to Quantitative Research
Descriptive Research
This method helps researchers describe something based on what
they observe or collect. For example, they might want to
know how many hours students study each week. They could ask
hundreds of students and then report the average or the
most common number.
Correlational Research
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Correlational research looks at whether two things are connected. For instance, it might show
whether students who get more sleep also get better grades. However, it doesn’t mean one causes
the other, it just shows a possible link between them (APA, 2020). This can help researchers see
if they want to explore the topic more in future studies.
Experimental Research
This type of research is more hands-on. The researcher changes something on purpose to see how
it affects another thing. For example, they might try a new teaching method with one group of
students and compare their test scores to a group that used the usual method. This allows
researchers to look at cause and effect.
Advantages
One big benefit of using numbers in research is that it allows for clear, unbiased results.
Since data is collected in the same way every time, it’s easier to repeat the study and get similar
results, which builds trust in the findings (APA, 2020). Quantitative research also works well
with large groups, so results can often apply to more people. In using randomized samples and
stricter testing methods, researchers can remove coincidence as a factor.
Disadvantages
Even though working with numbers can be helpful, it also has its downsides. For one, it
doesn’t always explain the “why” behind people’s actions. For example, a survey might show
that students are stressed, but it won’t say what’s causing their stress unless more questions are
asked. Another problem can come from how the questions are written. If the wording is
confusing, people might not answer truthfully, which could lead to wrong results (APA, 2020).
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Also, when researchers focus only on numbers, they might miss important details or personal
stories that could give deeper meaning to the results.
Critique of Outside Scholarly Source
I found a useful article by Chester and Lasko (2019) that looked at how researchers can improve
the way they design experiments in social psychology. The authors focused on something called
manipulation checks, which are ways to make sure that the change made in a study (the
independent variable) actually worked the way it was supposed to. They also talked about how
important it is that participants understand the instructions and know what’s happening during
the study. If these things aren’t clear, the results might not be very trustworthy.
This article helped me better understand how careful planning improves the quality of a study.
Chester and Lasko (2019) showed that a lot of researchers skip these checks, which can lead to
results that are based on misunderstandings instead of real effects. Their suggestions for better
methods can help make experimental research more accurate and believable. This connects with
what Privitera (2022) says about internal validity, making sure a study is really measuring what
it’s supposed to. Together, these sources show how important it is to double-check that
participants are responding to the actual changes in a study, not something else.
Conclusion
Quantitative research is a reliable and organized way to study things using numbers. It
helps researchers find clear answers, understand relationships, and test their ideas. In this paper, I
explained what quantitative research is, gave examples of common methods, discussed pros and
cons, and explored an outside article that added to what we learned in class. Even though this
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kind of research has its challenges, it’s a powerful tool when used carefully. By understanding
how and when to use it, researchers can make meaningful discoveries that impact education,
science, and more.
References
Chester, D. S., & Lasko, E. N. (2019). Construct Validation of Experimental Manipulations in
Social Psychology: Current Practices and Recommendations for the Future. Perspectives
on Psychological Science, 14(5), 875
896. https://pmc.ncbi.nlm.nih.gov/articles/PMC7954782/
American Psychological Association. (2020). Publication manual of the American
Psychological Association (7th ed.). American Psychological Association.
