This document discusses and compares quantitative and qualitative research methods. Quantitative research uses scientifically collected and statistically analyzed numerical data from large sample sizes to investigate observable phenomena in an objective manner. It aims to generalize results to populations and allows for fast and easy data collection and analysis using tools like surveys, experiments, and statistical tests. In contrast, qualitative research collects descriptive data like words and narratives from smaller samples to explore topics in more depth through interviews and observations.

1. QUANTITATIVE RESEARCH

2. WHAT’S IN
 Practical research 1 introduced you to
the two main classification of research
methods: quantitative and qualitative.
 You have learn that qualitative research
is more of describing a phenomenon in
a narrative: hence, the data collected
can be in the form of words, images, or
transcript taken from a small sample,
note generalizable to the population.

3. QUANTITATIVE vs
QUALITATIVE
QUANTITATIVE
 MORE RESPONDENTS
 1 CLASS
 1 COLLEGE
 SURVEY
EX. WHAT IS YOUR OPINION
IN TEACHING STRATEGIES
OG A TEACHER
 SHORT CONTACT TIME
 SURVEY QUESTIONARE (
GOOGLE FORMS) or PRINTED
FORMS
 MORE NUMBER (STATISTICS)
 HYPOTHESIS
QUALITATIVE
• LESS PARTICIPANTS
– NEED TO PARTICIPATE
– HE WILL GIVE MORE
– GETTING OPINION/PERCEPTION
– EX. EXPRERIENCES ARE
SHARED.
WHAT IS THE LIFE OF A WORKING
STUDENT WHO IS A PARENT?
• LONGER CONTACT TIME (MORE
QUESTIONS/EXPLANATION
– interview (telephone/face to face)
– Semi structured or unstructured) just
give information, FGD( focused
group discussion)
• MORE WORDS
• ASSUMPTIONS

4. QUANTITATIVE vs
QUALITATIVE
QUANTITATIVE QUALITATIVE
 MORE RESPONDENTS  LESS PARTICIPANTS
 OPINIONS, PERCEPTIONS  EXPERIENCE
 SHORT CONTACT TIME  LONG CONTACT TIME
 SURVEY QUESTIONAIRE  INTERVIEW (Semi-structured or
unstructured), FGD
 MORE NUMBERS (statistics)
 -number of population
 -frequency
 -rank
 -Commulative frequency
 -Class marks
 MORE WORDS (paragraphs,
narratives, explaination)

5. QUANTITATIVE vs
QUALITATIVE
QUANTITATIVE QUALITATIVE
HYPOTHESIS
-null hypothesis (there is no significant
relationship between the two
comparison
-hypothesis testing
ASSUMPTIONS
-
CLOSE-ENDED QUESTIONS
-answerable by yes or no
Agree or disagree
OPEN-ENDED QUESTION
Cannot be answered by yes or no
Can ask many questions as long as
related to the topic
Ex. Can you handle your roles being a
parent and a college student at the
same time? YES or NO
Ex. What advice would you give to
other working parents who are
continuing their college studies?
Would you encourage other parents to
continue their college studies?
Can get more
limited

6. QUANTITATIVE vs
QUALITATIVE
QUANTITATIVE QUALITATIVE
TESTING (hypothesis) EXPLORING ( interpreting,
understanding, if you want to dig
more, get more idea about these
people, these things, these
happenings.) behavior
DISTANCE (send the question) RAPPORT WITH THE
PARTICIPANTS (emmerged
pakikisama)
TABLES, GRAPHS NARRATIVES, PARAGRAPHS
SCALE, RANKING(LIKERT SCALE)
Verbal interpretation
THEMES, CONCEPTS
-thematic analysis, governing
experiences or big information during
the research
LESS WRITING MORE WRITING
(LONGER PARAGRAPHS)

7. QUANTITATIVE vs
QUALITATIVE
QUANTITATIVE QUALITATIVE
‘what’s the highest, lowest (level)
Academic performance
what;s the extent (always, sometimes,
often,rarely, never)
How many
-ilan ang family na fam income na
ganito, age, gender, ilan ang 1st year
How often-gaano kadalas ginagawa
ang ganitiong function ng isang
opisina
How was the experience was
Problems encountered
Motivations/inspiration/ realization
Roles being played
Document analysis
Culture( getting to know the culture,
practices, beliefes , )
How much-very much practiced,
utlized
Lived experiences, behavior, attitudes,
dispositions, etc.

9. WHAT’S IN
 CHOOSING a small sample sizes
makes room for in-depth data
collection and interpretation. In this
lesson you will learn about
quantitative analysis, a more formal,
objective, and systematic approach to
obtaining answers ton a question or
problem of the study.

10. WHAT I NEED TO KNOW
 Vital to conduct of a quantitative
research project is a deep
understanding of its characteristics.
 When you know its strengths and
different classifications, you will be able
to identify what kind of questions you
should ask and what approach is most
suited to find answers to these
questions or topics.

11. WHAT I NEED TO KNOW
 The identification of its weaknesses, on
the other hand, aids in recognizing the
questions or topics that are
inappropriate to this course.
 At the end of this lesson, you will have a
good grasp of quantitative research that
will prepare you in crafting a good
research study and instrumental to
building lifelong skills.

12. WHAT’S NEW
 ACTIVITY 1: FINDING CLUES
 Directions: Group the following word
clues if they are characteristics of
Quantitative Research (Box A) or
Qualitative Research (Box B).
1. Measurable
2. Behavior
3. Statistical
4. Narrative
5. Objective
6. Text-based
7. Intervention
8. Experimental group
9. Unstructured observation
10. Inductive
11. Subjective
12. Small sample
13. Tables and charts
14. Deductive
15. generalizable
A. QUANTITATIVE RESEARCH B. QUALITATIVE RESEARCH

13. WHAT IS IT
QUANTITATIVE RESEARCH
 Quantitative research uses scientifically collected and
statistically analyzed data to investigate observable phenomena.
 A phenomenon is any existing or observable fact or situation
that we want to unearth further or understand. It is scientific for the
fact that it uses a scientific method in designing and collecting
numerical data.
 Once data is collected, it will undergo statistical analysis like
Pearson’s r, t-test and Analysis of Variance (ANOVA) for
analysis. Since data is analyzed statistically, it is imperative that
the data obtained must be numerical and quantifiable research.

14. WHAT IS IT
QUANTITATIVE RESEARCH
 Numerical data are generally easier to collect
than descriptions or phrases used in qualitative
research. Information like student’s grades in
different subjects, number of hours of
engagement in social media platforms of
teens, percentage of consumers who prefer
the color blue for soap packaging, and
average of daily Covid-19 patient recovery
per region are just few examples of research
data expressed in numbers.

15. WHAT IS IT
QUANTITATIVE RESEARCH
 Several forms of rating scales are available,
e.g., the Likert scale that we can use to quantify
data. Usually, they come in a selection of
numbers with a corresponding meaning for
each choice, for example: 1= tastes very
good, 2 = satisfactory, or 3 = undesirable.
Numerical choices convert texts into numbers
so the researcher can perform mathematical
operations for faster, more accurate, and more
objective analysis.

16. Characteristics of Quantitative
Research
Quantitative research is
commonly used in natural
sciences research
problems because of the
following characteristics:

17. Characteristics of Quantitative
Research
1. Large Sample Size.
To obtain more meaningful
statistical result, the data
must come from a large
sample size.

18. Characteristics of Quantitative
Research
2. Objectivity.
Data gathering and analysis of
results are done accurately ,
objectively, and are unaffected by
the researcher’s intuition and
personal guesses

19. Characteristics of Quantitative
Research
3. Concise Visual Presentation.
Data is numerical which makes
presentation through graphs,
charts, and tables possible and
with better conveyance and
interpretation.

20. Characteristics of Quantitative
Research
4. Faster Data Analysis.
The use of a statistical
tools gives way for a
less time-consuming data
analysis

21. Characteristics of Quantitative
Research
5. Generalized Data.
Data taken from a sample
can be applied to the
population if sampling is done
accordingly, i.e., sufficient size
and random samples were
taken.

22. Characteristics of Quantitative
Research
6. Fast and Easy 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. For instance, a single survey form
can be administered simultaneously to collect
various measurable characteristics like age,
gender, socio-economic status, etc.

23. Characteristics of Quantitative
Research
7. Reliable Data.
Data is taken and analyzed
objectively from a sample as a
representative of the population,
making it more credible and reliable
for policymaking and decision
making.

24. Characteristics of Quantitative
Research
8. High Replicability.
The Quantitative method can
be repeated to verify findings
enhancing its validity, free from
false or immature conclusions.