1. The document describes the key characteristics, strengths, weaknesses, and types of quantitative research. 2. Quantitative research uses numerical data to objectively establish relationships and make generalizations, allowing for fast data collection and analysis. However, it lacks depth and cannot describe human experiences. 3. There are three major types of quantitative research designs: non-experimental (descriptive, correlational, ex post facto), quasi-experimental, and experimental. Experimental design provides the most conclusive results through random assignment and manipulation of variables.

1. PRACTICAL RESEARCH 2 Ms. Lory Mae Alcosaba
Subject Teacher:
Grading System (ACADEMIC)
COMPONENTS %
Written Works 50
Performance Tasks 50
Written Works:
• Summative Test (4)
Performance Task:
• Module Answers
• Research PT
• Others (TBA)
Grading System (TECHVOC)
COMPONENTS %
Written Works 30
Performance Tasks 70

2. Practical
Research 2
2nd Semester
Quarter 3
Week 1

3. ● Describes the
characteristic, strengths,
weaknesses, and kinds of
quantitative research.
Learning Competencies

4. ● Research is NOT merely gathering
information .
● Research is NOT merely rummaging
around for hard-to-locate information
● Research is NOT merely transporting
facts from one location to another
WHAT RESEARCH IS NOT

5. ● Research is a systematic process of
collecting, analyzing, and interpreting
information—data— in order to increase
our understanding of a phenomenon about
which we are interested or concerned.
(Leedy & Ormrod, 2015)
WHAT RESEARCH IS

6. ● The research process is ITERATIVE.
A researcher sometimes needs to move back and forth
between two or more steps along the way
● The research process is CYCLICAL
research typically involves a cycle in which one study
spawns additional, follow-up studies. Research begets
more research
(Leedy & Ormrod, 2015)
WHAT RESEARCH IS

7. ● Qualitative research requires non-numerical data,
which means that the research uses words rather
than numbers. – (textual)
● Quantitative research involves measurement of data.
(numerical)
Qualitative VS Quantitative

8. Qualitative VS Quantitative
Qualitative Quantitative
Elements of
Analysis
Words, pictures, documents, objects,
artifacts, etc.
Numeric or Statistical (measurable)
Research type
and objective
Exploratory
To explore or discover ideas or
concepts
Conclusive
To describe, examine relationships
and differences among variables.
Hypothesis
None or generated Tested
(relationship/difference)
Samples and
Sampling
Individualized (small)
Non-probability (purposive)
Group (large)
Probability (random)
Instrument Open-ended Closed-ended

9. DO NOT to think of the
quantitative–qualitative
distinction as mutually
exclusive.

10. ● Quantitative research is a type of
inquiry where relations are
established through the collection
of numerical data which are
analyzed to derived generalization.
● It is a systematic scientific
analysis of data and their
relationship.
QUANTITATIVE
RESEARCH

11. QUANTITATIVE
RESEARCH
CHARACTERISTICS
STRENGTHS
KINDS
WEAKNESS

12. OBJECTIVE
• Data gathering and
analysis of results are
done accurately,
objectively, and are
unaffected by the
researcher’s intuition and
personal guesses.

13. LARGE SAMPLE SIZE
• To obtain more meaningful statistical result, the data must come
from a large sample size.
This Photo by

14. GENERALIZABLE & RELIABLE DATA
• Data taken from a sample
can be applied to the
population if sampling is
done accordingly, i.e.,
sufficient sample size and
random samples were
taken.

15. FAST DATA
COLLECTION
• Depending on the type of data needed,
collection can be quick and easy.
• Quantitative research uses
standardized research instruments that
allow the researcher to collect data
from a large sample size efficiently.

16. FASTER DATA ANALYSIS
• The use of statistical tools give way for a less time-consuming
data analysis.

17. VISUAL RESULT PRESENTATION
• Data is numerical, which makes presentation through graphs,
charts, and tables possible and for better conveyance and
interpretation

18. REPLICATION
• The quantitative method can be repeated to verify findings
enhancing its validity, free from false or immature conclusions.

19. 1. Quantitative research can be replicated or repeated.
2. Findings are generalizable to the population.
3. Numerical and quantifiable data can be used to predict
outcomes.
4. Fast and easy data analysis using statistical software.
5. Fast and easy data gathering.
6. It is objective.
7. Validity and reliability can be established.

20. 1. It lacks the necessary data to explore a problem or concept in
depth.
2. It does not provide comprehensive explanation of human
experiences.
3. Some information cannot be described by numerical data such
as feelings, and beliefs.
4. The participants are limited to choose only from the given
responses.
5. The respondents may tend to provide inaccurate responses.
6. A large sample size makes data collection more costly.

21. Major distinction:
• Non-Experimental
- Descriptive Research design
- Correlational research design
- Ex post facto research design
• Quasi-Experimental
• Experimental

22. DESCRIPTIVE RESEARCH DESIGN
• Is used to describe a particular phenomenon by observing it as it
occurs in nature.
• There is no experimental manipulation and the researcher does
NOT start with a hypothesis.
• 1 Variable and 1 Group or population
Number of Hours spent of Grade 12 learners in
social media

23. CORRELATIONAL RESEARCH DESIGN
• It identifies RELATIONSHIPS between variables.
• Data is collected by observation since it does NOT consider the
cause and effect.
• 2 variable and 1 group or population
Parental Involvement and Academic Achievement
of Grade 12 learners in the New Normal.

24. EX POST FACTO OR CAUSAL COMPARATIVE
• Is used to investigate a possible CAUSAL relationship between
previous and present conditions.
• There is no experimental manipulation. There is a
PARTICIPANT INDEPENDENT VARIABLE.
• 1 variable and 2 or more groups
Attitudes towards Practical Research 2 of
Academic and TVL students

25. QUASI-EXPERIMENTAL RESEARCH DESIGN
• Used to establish the cause and effect relationship of variables.
• It has lesser validity due to the absence of random selection and
assignment of subjects.
• The independent variable is identified but not manipulated.
• The researcher does not randomly assign groups and must use
ones that are naturally formed or pre-existing groups.
The effect of part-time employment on the
achievement of high school students

26. EXPERIMENTAL RESEARCH DESIGN
• Is used to establish the cause and effect relationship of two or more
variables.
• It provides a more conclusive result because it uses random
assignment of subject and experimental manipulations.
• Subjects are randomly assigned to experimental treatments rather
than identified in naturally occurring groups.
The effect of teaching with a cooperative group
strategy or a traditional lecture approach on
students’ achievement

27. Design
Intervention
(Experimental
group)
Control group
Random
Assignment
Non-
Experimental NO NO NO
Quasi-
Experimental YES NO/MAYBE NO
Experimental YES YES YES

28. END