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Quantitative Research

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WHAT IS QUANTITATIVE RESEARCH?

Quantitative research is defined as the systematic examination of phenomena by


gathering quantitative information and carrying out statistical, mathematical or
computational methods. Qualitative research collects data from current and potential
clients using samplings techniques and sending out online surveys, online polls
questionnaires etc., whose findings can be portrayed as numerical. Once these figures
have been carefully understood to forecast a product or service’s future and create
adjustments accordingly.

An example of quantitative research is the study carried out to know how long a doctor
will take to tend to a patient when the patient enters the hospital. A template for patient
satisfaction study can be given to ask questions such as how much time a doctor has
taken to see a patient, how often the patient enters a hospital, and other such
questions.

Most of the quantitative research is carried out in the social sciences using the statistical
methods used above to gather quantitative data from the studies study. Researchers &
statisticians implement mathematical frameworks and theories related to the amountin
question in this research method.

Quantitative research frameworks are objective, elaborate and investigative in nature


many times. Logical, statistical and unbiased results produced from this research
method. The collection of data takes place using a structured technique and is carried
out on bigger samples representing the entire population.
Characteristics of Quantitative Research
 Techniques or procedures of collecting the data consist of items like
age, gender, educational status, among others, that call for measurable
features of the population.
 Systematic instruments guide data collection, therefore, guaranteeing
the accuracy, reliability and validity of data.
 Figures, tables or graphs display summarized information gathered to
demonstrate trends, relationships or variables difference. In summary,
you can see the proof gathered in the graphs and tables.
 A big population produces more credible information, but random
sampling principles must be strictly followed in order to avoid the bias of
the researcher.
 Quantitative methods can be repeated to check results in a different
environment, hence, strengthening the validity of results.
 Quantitative research emphasizes evidences, rather than discovery.
 Quantitative research has its own set of strengths as well weaknesses,
just like qualitative research.
STRENGTHS AND WEAKNESSES OF QUANTITATIVE RESEARCH
Strengths
 The theories of how and why phenomena occur have already been
tested and validated
 Testing hypotheses built before the information is gathered
 Can generalize study results if the information ar e based on sufficient
size random samples
 Can generalize study findings when multiple populations and
subpopulations have been replicated
 Useful for information collection to make quantitative hypothesis
 The investigator may create a scenario that eliminat es the confusing
impact of many factors, making it possible to create relationships of
cause and effect more credible
 It is pretty fast to collect data using certain quantitative methods (e.g.
telephone interviews)
 Provides accurate numerical, quantitative information
 Data analysis (using statistical software) is considerably less time
consuming
 Research findings are comparatively independent (e.g. statistical
importance) of the investigator.
 Many individuals in authority (e.g., administrators, politicians,
individuals who finance programs) may have greater credibility.
 Studying of large numbers of people is helpful

Weaknesses
 The categories used by the researcher may not represent the
understandings of local districts
 The theories used by the researcher ma y not represent the
understanding of local districts
 The investigator may miss phenomena that occur due to the theory or
hypothesis testing rather than the theory or hypothesis generation
(referred to as the confirmation bias)
 Knowledge produced may be too vague and general to be applied
directly to particular local circumstances, contexts and people
KINDS OF QUANTITATIVE RESEARCH
Survey Research
Survey research utilizes interviews, questionnaires, and sampling polls to acquire an
intense feeling of conduct. It enables researchers to judge behaviour and then
accurately present the results. Usually this is expressed in a percentage. Survey
research can be carried out specifically around one group or used to compare multiple
groups. It is significant for the individuals interviewed to be sampled at random when
conducting survey research. This enables a higher spectrum of participants to obtain
more precise results.

It is very essential to work with reputable statisticians and field service agents when
conducting survey research. Since there is a high level of private communication in
study situations as well as a higher likelihood of occurring in unexpected conditions,
the information may be influenced. This can have a major impact on the study
outcome.

There are several methods to conduct survey research. They can be performed in
individual, by telephone, by mail or by email. They may be self-administered in the last
example. Research performed on a single group study is its own category.

Correlational Research

Correlational testing of the interactions between two factors. Correlational research is


performed to determine what the one-on - the-other effect might be and how it impacts
the relationship. Correlational research is carried out to explain an event that has been
noticed. In correlational research the survey is conducted on a minimum of two
groups. In most correlational research there is a level of manipulation involved with the
specific variables being researched. Once the data is collected, it is then
mathematically evaluated to draw conclusions about the impact one has on the other.

Remember, it doesn't always imply causation. For instance, just because synchronizing
two information points does not imply there is a direct connection between cause and
effect. You shouldn't typically create hypotheses of correlation studies alone.
Causal-Comparative Research

Causal-comparative study seeks to reveal a connection between cause and effect. This
study is not being performed on one another between the two communities. Instead of
looking exclusively for a statistical connection between two factors, it attempts to define
specifically how the same situation affects the distinct groups. Causal-comparative
investigation includes' comparison.
Experimental Research

While issues may be asked in other types of studies, a hypothesis specifically guides
experimental research. Sometimes there are several hypotheses that experimental
study can have. A hypothesis is a proven or disproved declaration. Once that
statement is made tests are started to determine whether or not the declaration is true.
This sort of study is the foundation stone of most sciences, especially natural
sciences. If you are interested in natural sciences, such as biology, you should check
out Udemy's course on writing an A+ Biology Paper. It will assist you to make
excellent use of the kinds of quantitative research.

REFERENCES:
Akmal, Z. (n.d.). Strengths and Weaknesses of Quantitative Research.[Online] Available
from: https://www.scribd.com/document/169253183/Strengths-and-Weaknesses-of-
Quantitative-Research [12th of June 2019].
Bhat, A. (2018). Quantitative Research: Definition, Methods, Types and Examples |
QuestionPro.[Online] Available from: https://www.questionpro.com/blog/quantitative-
research/ [12th of June 2019].
Agacite, M. V. (n.d.). Chapter 1 Lesson 1 Characteristics, Strengths, Weaknesses,
Kinds of Quantitative Research. [Online] Available from:
https://www.academia.edu/35969852/Chapter_1_Lesson_1_Characteristics_Strengths_
Weaknesses_Kinds_of_Quantitative_Research [12th June 2019].
Klazema, A. (2014). Types Of Quantitative Research for Students and Researchers.
[Online] Available from: https://blog.udemy.com/types-of-quantitative-research/ [13th
June 2019].
Quantitative
Research
Kristine Shine S. Atanoso

STEM-206

Ms. Ma.Veronica Anne Evangelista-Bengala

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