3. Group members will discuss among
themselves the following topics:
I - Definition of quantitative research
(Concept Map)
II - Characteristics of quantitative research
(Tree Chart)
III- Strengths and weaknesses of
quantitative research (Fish bone)
5. Objective. Quantitative Research seeks accurate
measurement and analysis of target concepts. It is
not mere on intuitions and guesses. Data are
gathered before proposing conclusion or solution to
a problem.
Clearly defined Research question. In Quantitative
Research the researchers know in advance what they
are looking for. The research questions are well-
defined for which objectives are sought. All aspects
of the study are carefully designed before data are
gathered.
6. Structured Research Instruments. Data are
normally gathered using structured research tools
such as questionnaires to collect measurable
characteristics of the population like age, socio-
economic status, number of others, among others.
Numerical Data. Data are in the form of numbers
statistics, often organized and and presented like
tables, charts, graphs and figures that consolidate,
large numbers of data to show trends, relationships,
or differences among variables.
7. Large sample sizes. To arrive at a more reliable data
analysis, a normal population distribution is curve is
preferred. This required a large sample size
depending on how the characteristics of the
population vary. Random sampling are is
recommended in determining the sample size to
avoid researchers bias in interpreting the results.
Replication. Reliable quantitative studies can be
repeated to verify or confirm the correctness of
results in another’s setting. These strengthen the
validity of the findings thus elliminating the
possibility of spurious conclusions.
8. Future Outcomes. By using complex
mathematical calculations and with the aid of
computers,if-then scenarios may be
formulated thus predicting future results.
9. Strengths of Quantitative
Research
It is objective. Since it provides numerical
data, it can’t be easily be misinterpreted.
The use of statistical techniques
facilitates sophisticated analyses and
allows you to comprehend a huge
amount of vital characteristics of data.
10. The numerical data can be analyze on a quick
and easy way. By employing statistically valid
random model, finding can be generalized to
the population about which information is
necessary.
Quantitative Research are replicable.
Standardized approaches allow the study to be
replicated in different areas or over time with
the formulation of comparable findings.
11. Weaknesses of Quantitative
Research
Quantitative research requires a large number
of respondents. It is assumed that the larger
the sample is, the more statistically accurate
the findings are.
It is costly. Since there are more respondents
compare to qualitative research, the expenses
are much greater in reaching out to these
people and reproducing the questionnaires.
12. The information is contextual factors to help
interpret the results or to explain variations are
usually ignored. It is not considered the distinct
capacity of the respondents to share and
elaborate further information unlike the
qualitative research.
Many information are difficult to gather using
structured research instrument, specifically on
sensitive issues like pre-marital sex, domestic
violence, among others.
13. If not done seriously and correctly, data
from questionnaires may be incomplete
and inaccurate. Researchers on the look-
out on respondents who are just
guessing and answering the instruments.
