Practical Research

1. PRACTICAL
RESEARCH 2

2. DESCRIBE ME!

3. Task A: Describe your group in a
narrative form or through the use of
words. The group is prohibited
from using numbers or the
equivalent numerical words. The
description that you are going to
use should be true or representative
of your group.
List down at least five descriptions.
Example: All of our group members
are beautiful.

4. Task B: Come up with a
numerical description of your
group based on the members'
common characteristics. The
description that you are going to
use should be true or
representative of your group.
List down at least five
descriptions. Example: Five out
of 10 in our group are boys.

5. Quantitative research is the
process of collecting and
analyzing numerical data. It
can be used to find patterns
and averages, make
predictions, test causal
relationships, and generalize
results to wider populations.

6. Quantitative research
is the opposite of
qualitative research,
which involves
collecting and
analyzing non-
numerical data (e.g.,
text, video, or audio).

7. Quantitative research
is widely used in the
natural and social
sciences: biology,
chemistry, psychology,
economics, sociology,
marketing, etc.

8. Characteristics of
Quantitative Research
Quantitative research deals
with numbers, and the
following is a list of
characteristics of
quantitative research:

9. Controllability. To
understand a specific
relationship or
phenomenon, quantitative
research should be in an
environment where all
variables are identified
and can be controlled

10. Generalizability. It is
from larger sample
sizes that the results
are based on as a
representative of the
population.

11. Objectivity. The
results of the data
are observable and
measurable using
structured
instruments.

12. Replicability. The
research study should be
replicable by other teams
of researchers
that will eventually come
up with similar
outcomes.

13. Strength of
Quantitative
Research

14. Analysis of data is assisted with
statistical methods. These are
mathematical tools in which
numbers can be processed to
become more meaningful. Simple
statistical measures such as
determining the mean, median,
and mode of a data set can also
assist researchers in reducing the
bulk of data to make it easier to
understand. Analysis using
statistics also provides unbiased
results.

15. Large-scale research can be
undertaken. Due to many data
collection methods that can be
employed in quantitative
research that are relatively easy
to administer, a research with a
large number of samples is
possible. This also allows
researchers to make a more
comprehensive and
generalizable conclusion for the
entire population.

16. Data can be presented in
graphical or tabular form.
Other than statistical
analysis, researchers can
analyze data using graphical
or tabular representations.
Numerical data summarized
in tabular or graphical form
aid researchers in making
sense of them better.

17. Weakness of
Quantitative
Research

18. A large sample size requires
a lot of time and effort. The
goal to generalize the
results of quantitative
studies requires a larger
sample size which can be an
issue for many researchers.
This requirement increases
the cost of research, and its
time frame becomes longer.

19. Statistical analysis of
data requires an
expert to perform.
Poor knowledge or
inadequate skills in
statistics might
negatively affect the
outcome of a study.

20. Quantifying and reducing
observations to just pieces of
numerical values
makes it too simplistic.
Numerical values can only
answer the questions of what
and it is often difficult to use
these values in answering the
whys and the hows of the
phenomena.

21. QUALITATIVE
QUANITITATIVE