DELIVERABLE 1
INTRODUCTION TO QUANTITATIVE RESEARCH
Abelloria, Angelo H.
Aragon, Alexandra Gale M.
Borinaga, Arjie D.
Camacho, Rezel Mae G.
Gacayan, Daryll G.
The aim of this research is to learn more about quantitative research and
the quantitative research process. The purpose of the following research is to
make observations about something unknown, unexplained, or novel. Examine
current theories or trends concerning the problem or issue. This study's
methodology includes compiling numerical data to test causal relationships
between variables. Once a prediction has been confirmed, you must verify your
findings, draw your final conclusions, and present your findings.
Quantitative Research
According to Coghlan D., Brydon-Miller, M. (2014), Quantitative
methodology is the dominant research framework in the social sciences. It
refers to a set of strategies, techniques, and assumptions used to study
psychological, social, and economic processes through the exploration of
numeric patterns. Quantitative research gathers a range of numeric data.
Some of the numeric data is intrinsically quantitative (e.g. personal
income), while in other cases the numeric structure is imposed (e.g. ‘On a
scale from 1 to 10, how depressed did you feel last week?’).
According to Nancy A. Burrell & Clare Gross (2017), the purpose of
quantitative research is to generate knowledge and create an
understanding about the social world. Quantitative research is used by
social scientists, including communication researchers, to observe
phenomena or occurrences affecting individuals. Social scientists are
concerned with the study of people. Quantitative research is a way to
learn about a particular group of people, known as a sample population.
Using scientific inquiry, quantitative research relies on data that are
observed or measured to examine questions about the sample population.
CHARACTERISTICS
Standardized Research Instrument
A research instrument refers to any tool that you may use to
collect or obtain data, measure data and analyze data that is
relevant to the subject of your research. Research
instruments are often used in the fields of social sciences
and health sciences. These tools can also be found within
education that relates to patients, staff, teachers, and
students. The format of a research instrument may consist of
questionnaires, surveys, interviews, checklists, or simple
tests. The choice of which specific research instrument tool
to use will be decided on by the researcher. It will also be
strongly related to the actual methods that will be used in the
specific study (Discoverphds, 2020).
A research instrument is a tool used to obtain, measure, and
analyze data from subjects around the research topic. You
need to decide the instrument to use based on the type of
study you are conducting: quantitative, qualitative, or mixed-
method. For instance, for a quantitative study, you may
decide to use a questionnaire, and for a qualitative study,
you may choose to use a scale. While it helps to use an
established instrument, as its efficacy is already established,
you may if needed use a new instrument or even create your
own instrument. You need to describe the instrument(s)
used in the Methods section of the paper (Insights, 2020).
Present Data, Table, Graphs, or Figures
According to Rodrigo Pereira Duquia et al. (2014), The
identification of the type of data has an impact on the
different stages of the research process, encompassing the
research planning and the production/publication of its
results. For example, the use of a certain type of data
impacts the amount of time it will take to collect the desired
information (throughout the field work) and the selection of
the most appropriate statistical tests for data analysis. On
the other hand, the preparation of tables and graphs is a
crucial tool in the analysis and production/publication of
results, given that it organizes the collected information in a
clear and summarized fashion.
According to the University of North Carolina at Chapel
Hill (n.d.), Most writers are familiar with textual data
summaries and this is often the best way to communicate
simple results. A good rule of thumb is to see if you can
present your results clearly in a sentence or two. If so, a
table or figure is probably unnecessary. If your data are too
numerous or complicated to be described adequately in this
amount of space, figures and tables can be effective ways of
conveying lots of information without cluttering up your text.
Additionally, they serve as quick references for your reader
and can reveal trends, patterns, or relationships that might
otherwise be difficult to grasp.
Types of Quantitative Research
1. Experimental Research
Experimental research is a study that strictly adheres to a
scientific research design. It includes a hypothesis, a
variable that can be manipulated by the researcher, and
variables that can be measured, calculated, and
compared. Most importantly, experimental research is
completed in a controlled environment. The researcher
collects data and the results will either support or reject
the hypothesis. This method of research is referred to as
hypothesis testing or deductive research method
(Babbie, 1998, as cited in Illinios State University).
It's A Scientific Method of Conducting Research Using
Two Variables: Independent and Dependent.
Independent Variables Can Be Manipulated To Apply To
Dependent Variables And The Effect Is Measured. This
Measurement Usually Happens Over a Significant Period
of Time To Establish Conditions And Conclusions About
The Relationship Between These Two Variables
(Harappa, 2021).
2. Non-Experimental Research
According to Amy Glasofer and Ann B. Townsend
(2020), in non-experimental research there is no
manipulation of an independent variable, no
requirement for a control group, and no random group
assignments as in experimental and quasi-
experimental designs. Another term for this type of
research is observational because the researcher
observes natural occurrences without intervention.
According to Jill H. Lobmeier (2010),
Nonexperimental designs include research designs in
which an experimenter simply either describes a
group or examines relationships between preexisting
groups. The members of the groups are not randomly
assigned and an independent variable is not
manipulated by the experimenter, thus, no
conclusions about causal relationships between
variables in the study can be drawn.
Based on our understanding, quantitative research is Research that
data that can be expressed in numbers; a piece of information that can be
counted or measured, in other words, quantified and given a numerical value.
According to Coghlan (2014), and Nancy & Clare (2017) quantitative research
used to study psychological, social, and economic processes through the
exploration of numeric patterns is a way to learn about a particular group of
people, known as a sample population. Another term for this type of research is
observational because the researcher observes natural occurrences without
intervention.
Standardized Research Instrument, as we understand it, is a tool used to
collect data on a specific topic of interest. According to Discoverphds (2020)
and Insights (2020), a research instrument is used to collect, measure, and
analyze data related to a research topic. A quantitative, qualitative, or mixed-
method study is being conducted based on the type of instrument to be used.
Instruments for conducting research are frequently used in the social sciences,
as is the study of health. In Presentation of Data, Table, Graphs, or Figures
refers to the arrangement of data into tables, graphs, or charts so that logical and
statistical inferences can be drawn from the gathered measurements. The steps
of the research process, such as the planning for study and the generation of its
results, are affected by the identification of the data type, according to Rodrigo
Pereira Duquia et al. (2014) and the University of North Carolina at Chapel
Hill (n.d). Textual data summaries are a common genre for authors. And this is
typically the best communication strategy for clear results.
Experimental Research, as we understand it, is a collection of research
designs that use manipulation and controlled testing to understand casual
processes. According to Babbie (1998) and Harappa (2021), experimental
research follows a specific research design. It includes a theory, a manipulable
variable that the researcher can use, and quantifiable, calculable, and
compareable variables. It is a Scientific Approach to Research that employs two
variables: independent and dependent variables; And Non-Experimental
Research
It collect data without intervening or administering treatments to their
subjects. Nonexperimental designs, according to Amy Glasofer and Ann B.
Townsend (2020) and Jill H. Lobmeier (2010), include research designs in
which an experimenter simply describes a group or examines relationships
between pre-existing groups. There is no manipulation of an independent
variable in non-experimental research, no requirement for a control group, and
no random group assignment as in experimental and quasi-experimental
designs.
Based on the reading provided, quantitative research generates
knowledge and creates an understanding of the social world. It provides
measurable statistics and research is a way to learn about a particular group of
people, known as a sample population. Using scientific inquiry, quantitative
research relies on data that are observed or measured to examine questions
about the sample population that work to quantify the opinions and attitudes of
the research participants and it is used to test theories about people's attitudes
and behavior based on numerical and statistical evidence.
Hence, quantitative research is a systematic investigation that performs
statistical, mathematical, or computational techniques. That process of collecting
and analyzing relies on gathering numerical data points. This type of research
can be used to find patterns and averages, make predictions, test causal
relationships, and generalize results to larger populations; it is the inverse of
qualitative research.
References:
Coghlan, D., Brydon-Miller, M. (2014). The SAGE encyclopedia of action
research. University Of Texas Arlington. Retrieved from
https://libguides.uta.edu/quantitative_and_qualitative_research/quant?fbcli
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Nancy A. Burrell & Clare Gross (2017). Quantitative Research, Purpose of.
Retrieved from https://methods.sagepub.com/reference/the-sage-encyclopedia-
of-communication-research-
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DISCOVERPHDS (2020). What is a Research Instrument? Retrieved from
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insights (2020). What is a research instrument? Retrieved from
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0a%20tool%20used%20to,study%20you%20are%20conducting%3A%20q
uantitative%2C%20qualitative%2C%20or%20mixed-method
Rodrigo Pereira Duquia, João Luiz Bastos, Renan Rangel Bonamigo,
David Alejandro González-Chica, and Jeovany Martínez-Mesa (2014).
Presenting data in tables and charts. Anais Brasileiros de Dermatologia.
Retrieved from
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University of North Carolina at Chapel Hill (n.d.). Figures and Charts. The
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tools/figures-and-
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Babbie, Earl. The Practice of Social Research. 8th ed. Detroit: Wadsworth
Publishing Company, 1998. Retrieved from
https://cemast.illinoisstate.edu/downloads/hsrs/types_of_research.pdf
HARRAPA (2021). Experimental Research: Meaning And Examples Of
Experimental Research. Retrieved from
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According to Amy Glasofer and Ann B. Townsend (2020). Determining the
level of evidence Nonexperimental research designs. Critical . Retrieved
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