Take a look at this box. You can see
each variable name in left most column. If you have given your variables
meaningful names, you should know exactly which conditions these variable
names represent. You can find out the number of participants, mean and
standard deviation for each condition by reading across each of the two
condition rows.
In the Paired Samples Statistics
Box, the mean for the caffeine condition (CAFDTA) is 5.40. The mean for the
no caffeine condition (NOCAFDTA) is 9.40. The standard deviation for the
caffeine condition is 1.14 and for the no caffeine condition, also 1.14. The
number of participants in each condition (N) is 5.
This is the next box you will look
at. It contains info about the paired samples t-test that you conducted. You
will be most interested in the value that is in the final column of this
table. Take a look at the Sig. (2-tailed) value.
This value will tell you if the two
condition Means are statistically different. Often times, this value will be
referred to as the p value. In this example, the Sig (2-Tailed) value is
0.005.
You can conclude that there is no
statistically significant difference between your two conditions. You can
conclude that the differences between condition Means are likely due to
chance and not likely due to the IV manipulation.
If the Sig (2-Tailed) value
is less than or equal to .05…
You can conclude that there is a
statistically significant difference between your two conditions. You can
conclude that the differences between condition Means are not likely due to
change and are probably due to the IV manipulation.
The Sig. (2-Tailed)
value in our example is 0.005. This value is less than .05. Because of this,
we can conclude that there is a statistically significant difference between
the mean hours of sleep for the caffeine and no caffeine conditions. Since
our Paired Samples Statistics box revealed that the Mean number of hours
slept for the no caffeine condition was greater than the Mean for the
caffeine condition, we can conclude that participants in
the no caffeine condition were able to sleep
significantly more hours than participants in the caffeine condition.
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