I. Enter your data into
three columns in the data file
 Use the first column of the data
file to enter DV data collected in your first condition.
 Give the first column a
meaningful name. This name should help you to know that you are looking at
data from the first condition.
 Use the second column of the data
file to enter data collected from the second condition of your
experiment.
 Give the second column a
meaningful name. This name should help you to know that you are looking at
data from the second condition.
 Use the third column of the data
file to enter DV data collected in your third condition.
 Give the third column a
meaningful name. This name should help you to know that you are looking at
data from the third condition.
 Save the data file to a
meaningful place with a meaningful name. This file should have a .sav
extension.
 Click Analyze, General Linear
Model and then Repeated Measures. A Repeated Measures Define Factor(s) box
will appear.
 Fill in the blank for the
WithinSubject Factor Name box. Use the name of the IV, the name “Factor1”
or the name “level.”
 Fill in a number for the Number
of Levels box. The number you choose will depend on how many IV conditions
you have. If you have 3 IV conditions for example, enter the number 3.
 Click the Add button.
 Click the Define button. You will
see a Repeated Measures box.
 Transfer each condition name in
the window on the left to the window on the upper right. Do this by
clicking on each condition name and clicking on the corresponding arrow.
 Click the Options button. You
will see a Repeated Measures: Option box.
 Click on the empty box next to
the words “Descriptive statistics.” Once clicked, you will see a check in
this box.
 Click the Continue button. You
will return to the Repeated Measures 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 Multivariate Tests
box.
 Check the Sig value in the row
labeled “Wilks’ Lambda” to determine if there was a statistically
significant difference between group means. 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 conduct post hoc Paired Samples TTests to
compare each condition to every other condition. To do this, follow the
instructions in the Paired Samples TTest chapters with one difference.
Rather than using the number .05 to compare with the Sig (2Tailed) value,
use the number .05 divided by the number of conditions that you have. For
example, if you have three conditions, us .05/3 = 0.017 as the number to
compare your Sig (2Tailed) value to.
 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 series of post hoc Paired Samples TTests that
you have conducted to compare each condition to every other condition.
Following the instructions for reporting the results of Paired Samples
TTests in the previous chapters on this topic with one exception.
Remember to determine significance based on whether the Sig (2Tailed)
values are greater, less than or equal to .05 divided by the number of IV
conditions.
 Report your results in words that
people can understand.
Background 
Enter Data 
Analyze Data 
Interpret Data 
Report Data
