2. TYPES OF NON-
EXPERIMENTAL
RESEARCH
Observes and
describes
variables without
manipulation,
providing insights
into relationships
and trends.
It includes descriptive,
survey, correlation, and
causal-comparative
methods for gathering
insightful data.
3. Non-Experimental Research
✓ Observes phenomena as they occur
naturally, without manipulating
variables, often exploring relationships
or describing characteristics.
4. Types of Non-Experimental Research
Non-Experimental
Research
Descriptive Survey Correlational
Causal-
Comparative
5. Descriptive
✓ Describes characteristics or
behaviors of a population without
examining relationships or causes.
✓ Provides a snapshot of current
conditions or attitudes.
6. Descriptive
✓ Gathers information and create an
overview of a particular
phenomenon, population, or
condition.
✓ Answers: what, where, when, and
how, but not why
7. Example
✓ What is the current level of
awareness and perceived
effectiveness of the school’s official
FB page for class announcements
and suspensions among the high
school students of Prenza NHS
during the academic year 2025-
2026?
8. Design
✓ A researcher surveys to document
their level of perception on class
announcements and suspensions
without trying to influence them.
The findings would simply describe
the observed perception.
9. Example
✓ Among high school teachers in
selected public schools within Marilao,
Bulacan, what are the most frequently
used online platform media for
disseminating timely class
announcements and suspensions, and
what are their perceived advantages
and disadvantages of using these
platforms during the 2025-2026
school year?
10. Example
✓ To what extent do college students
in Marilao, Bulacan, primarily rely
on and trust official social media
accounts of their respective
academic institutions for timely
announcements on class
suspensions and resumptions
during the current academic year
(2025-2026)?
11. Remember
✓ The researcher observes and
describes something without
influencing it.
✓ You report what you find out.
12. Survey
✓ Collects data from a sample of
individuals through questionnaires
or interviews to gather information
about their attitudes, opinions,
behaviors, or characteristics.
13. Survey
✓ Gathers data from a large sample,
allowing researchers to make
inferences about the larger
population.
14. Advantages of Survey Research
✓ Cost-effective and time efficient for
large sample sizes
✓ Provides structured data that is
easy to analyzed statistically
15. Disadvantages of Survey Research
✓ Limited depth, as responses are
often restricted to options
✓ Potential for response bias,
participants may not answer
truthfully
16. Example
✓ How do STEM students in public
schools in Marilao, Bulacan,
recognize the role of technology
and innovation in improving
recycling processes within their
local community, during the first
semester of the 2025-2026
academic year?
17. Design
✓ The researchers identify the sample
size to explore the students’ ideas
on how technology could enhance
recycling efforts.
18. Example
✓ What is the level of awareness on
the "Ecological Solid Waste
Management Act of 2000 (RA
9003)" and its implications for
household recycling among senior
high school STEM students in
Marilao, Bulacan, as of July 2025?
19. Example
✓ What are the preferred
entrepreneurial skills and qualities
perceived as most important for
success by ABM senior high school
students at schools in Bulacan, as
of the first semester of the 2025-
2026 academic year?
20. Correlational
✓ examines the statistical relationship
(or association) between two or
more variables. It determines if and
how variables are related, but it
does not imply causation (or cause
and effect).
21. Types of Correlation
✓ Positive – as one variable increases,
the other also increases
✓ Negative – as one variable
increases, the other decreases
✓ Zero or No Correlation – no
association or relationship
22. Example
✓ Is there a correlation between the
frequency of exposure to science-
themed media and the critical
thinking skills of STEM senior high
school students in Marilao, Bulacan,
as assessed by a standardized
test?
23. Design
✓ Is there a significant correlation
between the level of participation in
business-related extra-curricular
activities (e.g., Junior Achievement,
business clubs, stock market
simulations) and the self-assessed
entrepreneurial intentions among
ABM senior high school students in
Marilao, Bulacan,?
24. Example
✓ Is there a significant correlation
between the level of participation in
business-related extra-curricular
activities (e.g., Junior Achievement,
business clubs, stock market
simulations) and the self-assessed
entrepreneurial intentions among
ABM senior high school students in
Marilao, Bulacan,?
25. Causal-comparative (or ex post facto)
✓ attempts to determine the cause-
and-effect relationship after the
fact. The IV has already occurred
and cannot be manipulated.
✓ The researcher looks for potential
causes by comparing groups that
differ on a pre-existing
characteristic.
26. Features
✓ No manipulation of the IVs (it’s
already happened)
✓ Involves comparing two or more
groups
✓ Attempts to explain why
differences exist between groups
where direct manipulation is
unethical, impractical and
impossible.
28. Example
✓ Does the awareness of a key's eco-
friendly origin influence users'
willingness to recommend the
product more significantly than
traditional keys among
environmentally-conscious
consumers in Marilao, Bulacan?
29. Example
✓ Does the awareness of a key's eco-
friendly origin influence users'
willingness to recommend the
product more significantly than
traditional keys among
environmentally-conscious
consumers in Marilao, Bulacan?
30. Design
✓ The researchers select communities
in Marilao that provide a specific,
localized context for data collection.
31. Example
✓ Is there a significant difference in
the ease of creating business
presentations between ABM
students in select high Schools in
Marilao, Bulacan, who
predominantly use Microsoft
PowerPoint versus those who
predominantly use Canva for their
reporting needs in class?
33. Importance of Research
Quantitative research plays a crucial role
in both STEM (Science, Technology,
Engineering, and Mathematics) and ABM
(Accountancy, Business, and
Management) because it provides
objective, data-driven insights that
support decision-making, problem-
solving, and innovation.
34. Importance of Research
STEM ABM
Validates scientific theories Guides business decisions
Enables accurate experiments Analyzes financial health
Supports technological
innovations
Understands markets and
customers
Develops predictive models Forecasts trends
Assists in problem-solving
Measures performance and
success