The document provides an overview of quantitative research, highlighting its characteristics, strengths, and weaknesses. It emphasizes the need for objective measurements, reliable data collection methods, and ethical considerations in research practice. Additionally, it outlines ethical guidelines including informed consent, honesty, and respect for intellectual property.

4. ACTIVITY 1:
Word map. Complete the bubble graph by
writing words associated with the middle
word.

6. Research was coined from the word “cerchier”
which means to seek and “re” which means to
repeat. (Faltado, et al., 1). It is discovering truths by
examining on your chosen topics. It is a natural day-
to-day activity of gathering information. It may in the
form of quantitative or qualitative.
RESEARCH

7. QUANTITATIVE RESEARCH
Quantitative research is a study that emphasizes the objective
measurements and the statistical, mathematical, or numerical
analysis of data collected through polls, questionnaires, and
surveys or by manipulating pre-existing statistical data through
computations. This study is descriptive that pertains to a number
or symbol to express how many, how much, or what rank thus
the subject is in this world. This research also determines the
relationship of two variables such as the dependent and
independent variables.

8. QUANTITATIVE RESEARCH
Quantitative research requires focusing on the
object of your study. The researcher/s own thought
about the subject should be excluded. In this
research, the problem should not be identify but
theorize, hypothesize, analyze, infer and create. It
is usually used in hard sciences like physics,
chemistry, biology, and medicine.

9. QUANTITATIVE RESEARCH
Quantitative research recognizes and isolates
specific variables contained within the study
framework, seek correlation, relationship and
causality, and attempt to control the environment in
which the data is collected to avoid the risk of
variables, other than the one being studied,
accounting for the relationships identified.

10. The data is usually gathered using structured
research instruments.
The results are based on the larger sample sizes
that are representative of a population.
The research can be replicated or repeated,
given its high reliability.
Researcher has a clearly defined research
question to which objective answers are sought.
CHARACTERISTIC OF QUANTITATIVE RESEARCH

11. CHARACTERISTIC OF QUANTITATIVE RESEARCH
All aspects of the study are carefully designed before
data is collected.
Data are in the form of numbers and statistics, often
arrange in tables, charts, figures or other non-textual
forms.
Project can be used to generalize concepts more
widely, predict future results, or investigate relationship.
•Research uses tools, such as questionnaires or
computer software to collect numerical data.

12. STRENGTHS OF QUANTITATIVE RESEARCH
Allows for a broader study involving a greater number of
subjects and enhancing the generalization of the result. It
allows for greater accuracy data because variables are
isolated, manipulated.
It is objective. Since it provides numerical data, it can be easily
interpreted.
The results are more accurate. It provides summaries of data
that support generalizations about the phenomena of the study.
The findings can be generalized to the population about which
information is necessary.

13. STRENGTHS OF QUANTITATIVE RESEARCH
The study can be replicated, and then analyzed and
compared with similar studies. Standardized approaches
allow the study to be replicated in different areas or over
time with the formulation of comparable findings.
The information gathered can be summarize and compare
to different categories over time.
Being bias is avoidable by using accepted computational
techniques.

14. STRENGTHS OF QUANTITATIVE RESEARCH
The use of statistical techniques facilitates
sophisticated analyses and allows you to comprehend
a huge number of vital characteristics of data.It
provides an allowance on the formulation of
statistically sound.
It uses robust instrumentation, which may yield results
that can be generalized to a larger population and
other research settings.

15. WEAKNESSES OF QUANTITATIVE RESEARCH
It reveals what and to what extent but it fails to answer
more on why and how.
It requires a framework to monitor a constant basis in
order to ensure its compliance with the original
hypotheses.
The impression of being homogenous in a sample may
turn to be fake in this method. It assumed that the larger
the sample is, the more statistically accurate the findings
are.

16. WEAKNESSES OF QUANTITATIVE RESEARCH
It involves limited number of quants (experts in analysing
quantitative data) and involves complex disciplines which are
hard to master.
It is costly. Since there are more respondents compared to
qualitative research, the expenses will be greater in reaching out
to these people and reproducing questionnaires.
•If not done seriously and correctly, data from the questionnaires
may be incomplete and inaccurate. Research must be on the
look-out on respondents who are just guessing in answering the
instrument.

17. IMPORTANCE OF QUANTITATIVE
Reliable and objective.
Can generalize finding through statistics.
Can summarize complex problem to a limited
variables.
Identify relationships between variables and
comparison between groups.
Samples can be representation of the population.
Tests theories or hypotheses.

18. ETHICS IN RESEARCH
•Informed consent. Inform your participants about the criteria set
for choosing them as informants and the schedule of one-on-one
interview at the convenient time they are available. Participation to
the study will be completely voluntary.
•Honesty. Honestly report data, results, methods and procedures,
and publication status. Do not fabricate, falsify and misrepresent
the data.
•Objectivity. Avoid bias in experimental design, data analysis, data
interpretation, peer review, personnel decisions, grant writing,
expert testimony, and other aspects of research.
•Integrity. Keep your promises and agreements; act with sincerity;
strive for consistency of thought and action.

19. ETHICS IN RESEARCH
•Carefulness. Avoid careless errors and negligence; carefully and critically
examine your work and the work of peers. Keep good records of research
activities.
•Openness. Share data, results, ideas, tools and resources. Be open to
criticism and new ideas.
•Respect for intellectual property. Do not use published or unpublished data,
methods, or results without permission. Give credit where credit is due. Never
plagiarize, fabricate and falsify.
•Confidentiality. Protect confidential communications, such as papers or
grants submitted for publication, personnel records, trade or military secrets,
and patient records.

20. ETHICS IN RESEARCH
•Responsible mentoring. Help to educate, mentor, and advise
others. Promote their welfare and allow them to make their own
decisions.
•Responsible publication. Publish in order to advance research
and scholarship, not to advance your own career. Avoid wasteful
and duplicative publication.
•Respect for colleagues. Respect your colleagues’ opinion, treat
them fairly and do not outsmart others.
• Social responsibility. Strive to promote social acceptance and
prevent or mitigate social harms through research, public
education, and advocacy.

21. ETHICS IN RESEARCH
•Non-discrimination. Avoid discrimination against colleagues or
students on the basis of sex, race, ethnicity, or other factors that
are not related to their scientific competence and integrity.
•Competence. Maintain and improve your own professional
competence and expertise through lifelong education and
learning; take steps to promote competence in science as a
whole.
•Legality. Know and obey relevant laws and institutional and
government policies.

22. ETHICS IN RESEARCH
•Animal care. Show proper respect and care for animals
when using them in research. Do not conduct unnecessary
or poorly designed animal experiments.
•Human subjects protection. When conducting a research
on human subjects, minimize harms and risks and
maximize benefits; respect human dignity, privacy, and
anonymity.