 Enter your data for your first
variable into the first column of the data file.
 Give the first column of data a
meaningful name by double clicking on the top of the column. Fill in the
‘variable name’ in the Define Variable box and Click OK.
 Enter your data for your second
variable into the second column of the data file.
 Give the second column of data a
meaningful name by double clicking on the top of the column. Fill in the
‘variable name’ in the Define Variable box and Click OK.
 Save the data file to a
meaningful place with a meaningful name. This file should have a .sav
extension.
 Click Analyze, Correlate and then
Bivariate. A “Bivariate Correlations” box will appear.
 Move your first variable to the
Variable box by clicking on it to highlight it and clicking on the arrow
button.
 Move your second variable by
clicking on it to highlight it and clicking the arrow button.
 Make sure the Pearson box is
checked. To check the box, simply click it and a check will appear.
 Click OK and wait a few seconds
for processing. The output will appear.
 Save the output to a meaningful
place with a meaningful name. SPSS should give the output file a .spo
extension.
 While keeping your output file
open, go back to the data file to create your scatterplot. Click “Graphs”
and then “Scatter.” A “Scatterplot” Box will appear.
 Make sure that the “Simple”
selection is selected in the “Scatterplot” Box by clicking it.
 Click the “Define” button.
 A “Simple Scatterplot” box will
appear. Move your first variable to the “Y axis” box by clicking on it to
highlight it and moving it with the corresponding arrow button.
 Move your second variable to the
“X axis” box by clicking on it to highlight it and moving it with the
corresponding arrow button.
 Click the OK button and wait a
few second for processing.
 Your scatterplot will appear in
your Output file. Save the output file again because it now contains some
new information.
 Look in your “Correlations” Box.
There will be four quadrants on the right and each will contain numbers.
Look for the quadrants that cross your two variables of interest.
 Look at the Pearson’s r (Pearson
Correlation) value in the appropriate quadrant.
 If a Pearson’s r value is
positive, you have a positive correlation between your two variables. If a
Pearson’s r value is negative, you have a negative correlation between
your two variables.
 The absolute value of Pearson’s
r will tell you how strong the relationship is between your two
variables..
 If a Pearson’s r score…
 Is close to 0, this means that
there is a weak relationship between your two variables.
 Is close to 1, this means that
there is a strong relationship between your two variables.
 Look at the Sig. (2tailed) value
in your “Correlations” table. Some people think this value can tell you if
there is a statistically significant correlation between your two
variables. Other people think this value is affected to much by the number
of observations your make.
 If you are one of those people
who things that the Sig. (2tailed) value is important, look at its’
value. If the Sig (2Tailed) value is greater than 0.05, you can conclude
that there is no statistically significant correlation between your two
variables. On the other hand, if the Sig (2Tailed) value is less than
0,05, you can conclude that there is no statistically significant
correlation between your two variables.
 Look at your scatterplot. Notice
if the dots in this plot seem to group together or if they are scattered
apart. If the dots appear to group together to form a line, you have a
strong correlation between variables. If the dots appear to be random and
too scattered, you have a weak correlation between variables.
 In your scatterplot, notice how
the grouping of your dots slopes. If your dots tend to slope upward from
zero, you can conclude that you have a positive correlation between
variables. If your dots tend start high from zero and gradually slope
down, you can conclude that you have a negative correlation. If the
grouping of your dots don’t seem to slope or if there is no grouping of
dots, you have a zero correlation between your variables, aka no
correlation.
 Report the type of tests used and
what they were used to test.
 Report the values for Pearson’s r
and your Sig. (2tailed) value if you don’t have a problem with
significance testing in correlation .
 Make reference to your
scatterplot and include it as a graph in your APA style “Figures” section.
 Report your results in words that
people can understand.
Background

Enter Data 
Analyze Data 
Interpret Data 
Report Data
