Home 
Contact 
Profile 
Videos 
Presentation to the Research Methodology Winter Camp at AlMaarefa University on January 13, 2022 at 1.30pm By: Prof. Omar Hasan Kasule Sr. MB ChB (MUK). MPH (Harvard), DrPH (Harvard) Professor of Epidemiology and Bioethics, King Fahad Medical City
Variables of the Classroom Data:
- AGE (in years),
- GENDER (male, female)
- REGION of birth (East, North, West, Central, West),
- ORDER in the family (first, second, third, higher),
- DEGREE expected (bachelor, master, doctorate, postdoctorate),
- WEIGHT (in kilograms),
- HEIGHT (in centimeters),
- wearing GLASSES (yes, no),
- COLOR preference (blue, red, green, yellow)
- number of BROTHERS,
- number of SISTERS,
- type of primary SCHOOL
(private, public),
- type of UNIVERSITY
(public, private), J
- JUMPING rank (1st. 2nd, 3rd
etc.),
- RUNNING rank (1st, 2nd, 3rd
etc.).
SPSS Variable View of Classroom Data:
SPSS Data View of Classroom Data:
EXERCISE 5: LINEAR CORRELATION
- Draw a scatter plot of WEIGHT against HEIGHT:
o
Import the data into SPSS v22.0 and make sure to
click on DATA VIEW
o
In the menu, click on GRAPHS then CHART BUILDER
and choose the first SCATTER/DOT option from the Gallery and drag it to the
viewer.
o
In the variables, drag HEIGHT into the “X-Axis”
and WEIGHT into the “Y-Axis” then OK. It does not matter if this is done in the
opposite way.
- Compute the Pearson linear correlation coefficient for WEIGHT and HEIGHT:
o
Import the data into SPSS v22.0 and make sure to
click on DATA VIEW
o
In the menu, click on ANALYZE then CORRELATE
then BIVARIATE and tick the box ‘PEARSON.’
o
In the variables, insert the WEIGHT and HEIGHT
into the viewer then OK.
EXERCISE 6: SIMPLE LINEAR REGRESSION ANALYSIS
- Import the data into SPSS v22.0 and make sure to click on DATA VIEW.
o
In the menu, click on ANALYZE then REGRESSION
then choose the ‘LINEAR.’
o
In the ‘DEPENDENT(S)’, insert the ‘weight’ and
in the ‘INDEPENDENT’ variable insert the ‘height’ then OK.
o
Test the significance of the linear regression
coefficient
- Construct a simple linear regression equation and use it to predict the weight of persons with the following heights: 100cm, 120 cm. 135cm an 150cm.
EXERCISE 7: SIMPLE LOGISTIC REGRESSION
- Import the data into SPSS v22.0 and make sure to click on DATA VIEW
o
In the menu, click on ANALYZE, click REGRESSION,
‘BINARY LOGISTIC.’ drag GLASS to dependent and GENDER to covariate, then click
OK