Lesson 1 Introduction to Quantitative Research.pptx

INTRODUCTION
TO
QUANTITATIVE
RESEARCH
Junilyn S. Zozobrado
Practical
Research
2

Objective:
Describe the characteristics, strengths,
weaknesses, and kinds of quantitative
research.

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. Text-based
3. Subjective
4. Behavior
5. Intervention
6. Small sample
7. Statistical
8. Experimental group
9. Tables and charts
10. Narrative
11. Unstructured
observation
12. Deductive
13. Objective
14. Inductive
15. Generalizable
Quantitative Research Qualitative Research

Quantitative Research
Measurable
Behavior
Intervention
Statistical
Experimental group
Tables and charts
Deductive
Objective
Generalizable
Finding Clues!
Qualitative Research
Small Sample
Text-based
Subjective
Narrative
Unstructured observation
Inductive

Also known as empirical research, is a type of inquiry
where relations are established through the collection of
numerical data which are analyzed to derive
generalization.
It specifically refers to tests or experiments that yield quantifiable
values that can be analyzed using statistics, figures, and
mathematical models to provide information that may be used in
decision-making.

Three Main Assumptions of
The researcher
observes and explains
an occurrence in the
form of either a
question or a
hypothesis.
Observing and
Explaining
Specifically concerned
with statistical
information known as
data.
Collecting Information
The reliability of the
data derived from
quantitative design
varies according to
the data collection
method used
(manual,
automated).
Analyzing the
Information

Characteristics
of Quantitative
Research

1. Large Sample Size
To obtain a more
meaningful statistical
result, the data must come
from a large sample size.
2. Objectivity
Data gathering and analysis
of results are done
accurately, objectively, and
are unaffected by the
researcher’s intuition and
personal guesses.
3. Concise Visual Presentation
Data is numerical which makes
presentation through graphs,
charts, and tables possible
and with better conveyance and
interpretation.
4. Faster Data Analysis
The use of statistical tools
gives way for a less time-
consuming data analysis

5. Generalized Data
Data taken from a sample
can be applied to the
population if
sampling is done
accordingly
6. Fast and Easy Data
Collection
Uses standardized
research instruments that
allow the researcher to
collect data from a large
sample size efficiently.
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.
8. High Replicability
The Quantitative method can
be repeated to verify the
findings
enhancing its validity, free
from false or immature
conclusions.

Strengths of
Quantitative
Research

2. Numerical and quantifiable
data can be used to
predict
outcomes.
1. Very objective
3. Findings are
generalizable to
the population
4. There is a conclusive
establishment
of cause and effect
6. Fast and easy data
gathering
5. Fast and easy data analysis
using
statistical software.
7. Quantitative research
can be
replicated or repeated.
8. Validity and reliability can be
established

Weaknesses of
Quantitative
Research

2. It does not provide a comprehensive explanation of
human
experiences.
1. It lacks the necessary data to explore a problem
or
concept in depth
3. Some information cannot be described by
numerical data
such as feelings, and beliefs.
4. The research design is rigid and not very flexible.

5. The participants are limited to choose only from the
given
responses.
6. The respondents may tend to provide inaccurate
responses.
7. A large sample size makes data collection more
costly.

Kinds of
Quantitative
Research

1. Descriptive design
 It is applied only to describe
what exists and to gather
information about the current
status of a certain
phenomenon.
 Aims to define the existing
condition of a classified
variable.
 Designed to give “answers to the
questions of who, what, when,
where, and how which are linked
with a research problem. Example:
● A description of how parents feel
about the K to12 Curriculum.
● A description of the youth’s
perception of the 2022 elections.

2. Correlational design
Example:
● The relationship between a
successful career and educational
attainment.
● The relationship between high
grades and having tutors
 identifies the
relationship between
variables.
 To find if the data has an
observable relationship that
can be further specified in
terms of magnitude and/or
an increase or decrease.

3. Ex post facto design
Example:
● The effect of gender on college
course choices
● The effect of studying in Catholic
schools on the moral value system
of those who graduate from these
schools
 used to investigate a
possible relationship
between previous
events and present
conditions.
 The term “Ex post facto”
which means after the fact,
looks at the possible causes
of an already occurring
phenomenon.

4. Quasi-experimental design
Example:
● A comparison of the effects of
various blended learning to the
reading comprehension of
elementary pupils.
 used to establish the cause-
and-effect relationship of
variables
 has lesser validity due to the
absence of random selection
and assignment of subjects.
 The group exposed to treatment
(experimental) is compared to
the group unexposed to
treatment (control).

4. Experimental design
Example:
● A psychologist may be interested in
the impact of video game violence
on children's aggression.
● The psychologist randomly assigns
some children to play a violent
video game for 1 hour and other
children to play a non-violent video
game for 1 hour.
 This design provides a more
conclusive result because it
uses random assignment of
subjects and experimental
manipulations.

Guide
Questions:
1. Based on the discussion,
what are the advantages of
quantitative design over
qualitative?
2. As a researcher, what is
the importance of knowing
the various characteristics,
strength, and weaknesses
of quantitative research?

True
or
False
Activity!
_______1. Quantitative data can be presented using tables and graphs.
_______2. The results of quantitative research can be used to generalize
and predict.
_______3. Quantitative research is flexible so at any stage, the study may
change.
_______4. Quantitative data are more credible, reliable, and useful than
qualitative data.
_______5. The research study cannot be replicated or repeated because it
is unique in every case.
_______6. Data are in the form of numbers and analyzed statistically.
_______7. Data analysis is an on-going process. It can be done at any
stage of the process.
_______8. The behavior of the participants is observed and is critical to the
analysis of results.
_______9. Analysis of data is less time-consuming.
______10. In quantitative research, the researcher participates and
engages the participants in the study

3 to 5 Activity!
Directions: Answer
the following in 3 to 5
sentences.
__________________________________________
__________________________________________
________
2. What are the characteristics of quantitative
research?
__________________________________________
__________________________________________
________
3. Discuss the strengths of quantitative research.
__________________________________________
__________________________________________
________
4. Discuss the weaknesses of quantitative research.
__________________________________________
__________________________________________
________
5. Describe each type of quantitative design and give
one
example for each kind.
A. Descriptive design
B. Correlational design
C. Ex post facto design

Assignment!
Directions: Research the
importance of quantitative
research across
disciplines.

Lesson 1 Introduction to Quantitative Research.pptx

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Lesson 1 Introduction to Quantitative Research.pptx