 Use the first column of the data
file to enter each of the three IV conditions of your experiment. You can
use the numbers 1, 2 and three to represent each condition. If you have
four conditions, enter 1,2,3 and 4 representing each condition.
 Give the first column a
meaningful name. This name should help you to know that you are looking at
various conditions of the IV.
 In the Define Variable Box, click
Labels to label your conditions. Give each condition number a meaningful
name. This will help you to interpret your data in the future.
 Use the second column of the data
file to enter your data collected from each of the conditions. Type all of
your condition 1 data points to the right of each condition 1 label listed
in the first column. Continue on until you have entered the data for all
of your conditions.
 Give the second column a
meaningful name. This name should help you to know that you are looking at
the DV data or what was measured in your experience.
 Save the data file to a
meaningful place with a meaningful name. This file should have a .sav
extension.
 Click Analyze, Compare Means and
then OneWay ANOVA. A OneWay ANOVA box will appear.
 Click on the IV to highlight it.
Transfer the IV to the factor box by clicking on the corresponding arrow.
 Click on the DV to highlight it.
Transfer the DV to the Dependent List box by clicking on the corresponding
arrow.
 Click the Options button. A
OneWay ANOVA Options box will appear.
 Check the Descriptives and
Homogeneity of Variance Boxes. Then Click Continue. You will return to the
OneWay ANOVA box.
 Click the Post Hoc Button. A
OneWay ANOVA: Post Hoc Multiple Comparisons box will appear. Check the
post hoc test that you are interested in conducting. In this book, we
focused on the Tukey post hoc test.
 Click the Continue button. You
will return to the OneWay ANOVA box.
 Click the OK button and wait a
few seconds for processing.
 You will see your results. Save
the results to a meaningful place with a meaningful name. SPSS should give
the output file a .spo extension.
 Look in the Descriptive
Statistics box for condition means, standard deviations and number of
participants.
 Make sure the number of
participants for each condition is accurate. If it is not, go back to the
data file and make sure it is correct.
 Look in the ANOVA box.
 Check the Sig value in the last
column. If the Sig value is greater than .05, you can conclude that there
is no statistically significant difference between your conditions – that
the IV did not have a significant effect on the DV. However, if the Sig
value is less than or equal to .05, you can conclude that there is a
statistically significant difference between some or all of your
conditions. This means that it is likely that the IV did have an effect on
the DV and the results were not likely due to chance.
 If the Sig. value is less than or
equal to .05, you will need to look at the output for your Post hoc test
to compare each condition to every other condition. To do this, Look at
the Multiple Comparisons box. Check the Sig. Values for each comparison of
conditions to find out which conditions are significantly different from
one another. Like before, if the Sig value is greater than .05, you can
conclude that there is no statistically significant difference between
your conditions – that the IV did not have a significant effect on the DV.
However, if the Sig value is less than or equal to .05, you can conclude
that there is a statistically significant difference between some or all
of your conditions. This means that it is likely that the IV did have an
effect on the DV and the results were not likely due to chance.
 Report the type of test used and
what it was used to test.
 Report whether or not there was a
significant difference between your conditions. Include the group means,
standard deviation, and the Sig. values.
 If there was a significant
difference between your conditions as determined by the 1Way ANOVA,
report the results of the post hoc test that you conducted.
 Report your results in words that
people can understand.
Background 
Enter Data 
Analyze Data 
Interpret Data 
Report Data
