This document discusses correlational research, which investigates the relationship between two continuous variables through statistical analysis. It provides an example of correlating IQ scores and student achievement to determine if higher IQ scores predict better achievement. The research would aim to establish a correlation between the variables and test the hypothesis that a correlation exists against the null hypothesis that there is no correlation. Scatter diagrams are also discussed as a way to visually depict the direction and strength of any correlation between two variables.

1. CORRELATIONAL
RESEARCH

2. What is it?
 It investigates the correlation
between two variables
 It uses continuous variable
We r ank people f r om high t o low
 The advantage is to predict the level
of one variable from another variable

3. For example:
HIGH
HIGH
IQ
SCORE
Achievement
LOW
LOW
Research Question:
Do the higher IQ scores the students
have the better achievement they
make?
Research Objectives:
To investigate the correlation
between students’ IQ scores and
students’ achievement
Research Assumption:
There is correlation between
students’ IQ scores and students’
achievement
Research Hypothesis:
The higher IQ scores the students
have, the better achievement they
make.
Null Hypothesis:
There’s no correlation between
students’ IQ scores and students’
achievement

4. SCATTER DIAGRAM
What is it?
• A diagram that presents the
correlation between two variables
• It shows the direction (positive or
negative) and the degree (high or
low)

5. There is perfect positive
correlation [r=+1]

6. There’s perfect negative
correlation [r=-1]

7. There’s no correlation
[r=0]

8. There’s high positive
correlation [r=.80]

9. There’s low positive
corelation [r=.30]

10. There’s low negative
correlation [r=-.20]

11. What is the importance
of Correlation?
The higher
the correlation,
The stronger
the prediction