Repeated measure t test
The t-test assesses the mean scores from two experimental conditions are statistically different from one another. A repeated-measures t-test (also known by other names such as 'paired samples' or 'related' t-tests) is what you should use in situations when your design is within participants.
Step 1
·
Analyze> compare means> paired
sample t test.
Step 2
·
Shift the variables from left box to
the right box. Then click OK.
Tables
Paired
Samples Statistics
|
|||||
Mean
|
N
|
Std.
Deviation
|
Std.
Error Mean
|
||
Pair 1
|
gender
|
1.5233
|
300
|
.50029
|
.02888
|
area
|
1.4467
|
300
|
.51773
|
.02989
|
Paired
Samples Correlations
|
||||
N
|
Correlation
|
Sig.
|
||
Pair 1
|
gender & area
|
300
|
.102
|
.079
|
Paired
Samples Test
|
|||||||||
Paired
Differences
|
t
|
df
|
Sig.
(2-tailed)
|
||||||
Mean
|
Std.
Deviation
|
Std.
Error Mean
|
95%
Confidence Interval of the Difference
|
||||||
Lower
|
Upper
|
||||||||
Pair 1
|
gender - area
|
.07667
|
.68240
|
.03940
|
-.00087
|
.15420
|
1.946
|
299
|
.053
|
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