This document discusses different types of quantitative research methods. Non-experimental research includes descriptive and correlational methods which observe relationships between variables without manipulation. Descriptive research describes populations or phenomena, while correlational research investigates relationships between two or more variables. Experimental research tests causal relationships through manipulation of variables and comparisons between experimental and control groups. True experiments use random assignment, while quasi-experiments lack random assignment.

2. TYPES OF
QUANTITATIVE
RESEARCH
Reporter: CRISTAL E. BERO

3. WHAT QUANTITATIVE RESEARCH?
- is a systematic investigation of
phenomena by gathering quantifiable
data and performing statistical,
mathematical, or computational
techniques.

4. Matrix on Quantitative Research

5. Non-
Experimental
Descriptive
Correlational
- describe a situation or
phenomenon
- Relationship between two or
more variables without any
interference from the proponent
-researchers collect data without
making changes or introducing
treatments.

6. Non-
Experimental
Descriptive
Correlational
- describe the nature,
characteristics and components
of the population or a
phenomenon
- determine the frequency with
which it occurs and to find
general attributes of the present
existing situation
-manipulation of variables or
search for cause and effect is not
applicable

7. Non-
Experimental
Descriptive
Correlational
1. How many hours senior high school
students spent in playing online games?
2. How many malnourished students who
failed in the achievement test?
3. How healthy is the food served during
lunch time in the public schools?
EXAMPLES:

8. Non-
Experimental
Descriptive
Correlational
Factors affecting the Academic
Performance of Senior High
School Students
EXAMPLES:
Attendance
Family
Financial Support
Working Student
Environment

9. Non-
Experimental
Descriptive
Correlational
- a research design investigates
relationships between two variables
Example:
Performance in Mathematics and score
in Practical Research
-measures the degree of their
relationship or associations
- Relationships that exists between or
among the variables

10. Non-
Experimental
Descriptive
Correlational
2. age and leadership style
3. occupation and life span
Example:
1. sex and mathematical ability

11. Non-
Experimental
Descriptive
Correlational
TYPES:
Example:
Family income and Daily allowance
1. Positive Correlation
An increase in one variable leads to
increase the other variable. A decrease in
one variable will also decrease in the other
variable.

12. Non-
Experimental
Descriptive
Correlational
TYPES:
Example:
Age of a car and price of the car
2. Negative Correlation
if there is and increase in one
variable , the second variable will show
a decrease and vice versa
(QuestionPro)

13. Non-
Experimental
Descriptive
Correlational
TYPES:
Example:
Number of spent in studying and height
of the students
3. No Correlation
A change in one variable may
not necessarily see a difference in the
other variable (QuestionPro)

14. Non-
Experimental
Descriptive
Correlational
Example :
The relationship between playing
online games and the Grade-
point Average
online games
GPA

15. Experimental -this kind of research is centrally concerned
with constructing research that is high in
causal (internal) validity
* Scientific approach
-researchers collect data with making
changes or introducing treatments
True
Experimental
Quasi-
Experimental

16. Experimental
True
Experimental
1. Randomly formed groups;
2. Manipulation of the treatment ; and
3. Comparisons among groups
- To test the true cause and effect
relationships of variables involve in the
study.
-According to Prieto , it offers the of all
highest internal validity of all
the designs
Quasi-
Experimental

17. Experimental
True
Experimental
Quasi-
Experimental
ONE GROUP POSTTEST ONLY DESIGN
A single group of individuals is
measured on some dependent
variable after an intervention has
taken place
Example: Independent Video Learning
Tool: Its Effect on Academic Performance
of SHS Students.
Single
group
intervention posttest

18. Experimental
True
Experimental
Quasi-
Experimental
TWO GROUP POSTTEST ONLY DESIGN
Example: Independent Video Learning
Tool: Its Effect in Academic Performace of
SHS Students
Experimental
group
Control
group
No
intervention
intervention
Posttest Posttest

19. Experimental
True
Experimental
Quasi-
Experimental
PRETEST – POSTTEST DESIGN
Example: Independent Video Learning
Tool: Its Effect in Academic Performace of
SHS Students
Experimental
group
Control
group
No
intervention
intervention
Pretest Pretest
Posttest Posttest

20. Experimental
True
Experimental
Quasi-
Experimental
This kind of research is almost
the same as that of True
Experimental Design. The only
difference is the absence o
random assignment of
subjects to other conditions.
Example: “The Effect of Remedial
Program to Beginners”