This document discusses quantitative research methods. It defines quantitative research as systematic investigation using quantifiable data and statistical analysis. Quantitative research aims to generate conclusions about how prevalent phenomena are in larger populations. It is used in fields like psychology, economics, marketing and education. There are four main types: descriptive research, correlational research, causal-comparative/quasi-experimental research, and experimental research. The document outlines characteristics, strengths, and weaknesses of quantitative research methods.

1. Characteristics, strengths,
weaknesses, and kinds of
quantitative research

2. • Quantitative Research is a systematic investigation of phenomena by
gathering quantifiable data and performing statistical, mathematical,
or computational techniques. It collects information from existing and
potential respondents using sampling methods, and surveys, or
questionnaires; the results of which can be depicted in the form of
numerical values (Bhat, 2020).
• Its purpose is to generate conclusion or to make some inferential
conclusion by trying to quantify the problem and understand how
prevalent it is by looking for projectable results to a larger population.

3. Psychology
Economics
Demography
Marketing
political science
educational studies.

4. Four main types of quantitative research
Descriptive Research
Correlational Research
Causal-Comparative Research or Quasi-Experimental Research,
Experimental Research.

5. Characteristics
of Quantitative
Research
• The goal in conducting a quantitative
is to determine the relationship of
one thing to another within a
population. It is descriptive,
correlational, quasi-experimental or
experimental in nature. Descriptive
and correlation researches establish
associations between things under
study while quasi-experimental and
experimental studies establish
causality.

6. 1.The data is usually gathered
using structured research
instruments.

7. 2.The results are based on larger
sample sizes that are
representative of the population.

8. 3.The research study can usually
be replicated or repeated, given its
high reliability.

9. 4.Researcher has a clearly defined
research question to which
objective answers are sought.

10. 5.Data are in the
form of numbers
and statistics, often
arranged in tables,
charts, figures, or
other non-textual
forms.

11. 6.Project can be used to generalize
concepts more widely, predict
future results, or investigate causal
relationships.

12. 7.Researcher uses
tools, such as
questionnaires or
computer software,
to collect numerical
data.

13. Tips in
reporting
results of
quantitative
research
• A researcher should explain the data collected
how they are collected and how they are
treated.
• It is also advisable to include all relevant
results to the research questions under study.
• It is a must also to report all the procedure
used in data collection to establish among
readers the validity and reliability of results.
• The trustworthiness of the data is the goal.
Statistical treatment must also be appropriate
and be explained carefully.
• When using table or any non-textual
presentation, make sure to present it with
clarity.

14. Strengths and Weaknesses of Quantitative Research

15. ADVANTAGES/STRENGTHS OF
QUANTITATIVE RESEARCH

16. The quantitative
approach allows a
researcher to reach
a higher sample
size.

17. A research can collect
information quickly when
using quantitative research.

18. Quantitative
research uses
randomized
samples.

19. Results duplication is possible using
quantitative research.

20. Quantitative research
can focus on facts or
a series of
information.

21. The research
performed with
the quantitative
approach is
anonymous.

22. Quantitative research
doesn’t require direct
observation to be useful.

23. DISADVANTAGES/WEAKNESSES
OF QUANTITATIVE RESEARCH

24. Quantitative
Research does not
consider the
meaning behind
social phenomena.

25. Every answer provided in
this research method
must stand on its own.

26. Quantitative research
sometimes creates
unnatural environments.

27. Some efforts at
randomization
will not create
usable
information.

28. There is no access to
specific feedback.

29. Quantitative
research can
be very
expensive.

30. Answer validity
always creates a
cloud of doubt
on the final
results.

31. Individual
characteristics
don’t apply to
the general
population.