other scoring low. When presented with sexual explicit homosexual videos, the homophobic
group actually showed a higher level of sexual arousal (the mean difference 5 7.50 units). A
ttest of the difference between means produced a statistically significant result (p,.05), and
Cohen’sd 5 .62 showed that the two groups differed by nearly 2/3 of a standard deviation.
However, the confidence limits on the population mean difference were rather wide (1.46
m 1 – m 2 13.54, suggesting that we do not have a tight handle on the size of our difference.
SPSS Analysis
The SPSS analysis of the Adams et al. (1996) data is given in Table 7.6. Notice that SPSS
first provides what it calls Levene’s test for equality of variances. We will discuss this test
shortly, but it is simply a test on our assumption of homogeneity of variance. We do not
come close to rejecting the null hypothesis that the variances are homogeneous (p 5 .534),
so we don’t have to worry about that here. We will assume equal variances, and will focus
on the next-to-bottom row of the table.
Next note that the tsupplied by SPSS is the same as we calculated, and that the proba-
bility associated with this value of t(.016) is less than a 5 .05, leading to rejection of the
null hypothesis. Note also that SPSS prints the difference between the means and the stan-
dard error of that difference, both of which we have seen in our own calculations. Finally,
SPSS prints the 95% confidence interval on the difference between means, and it agrees
with ours.
7.6 A Second Worked Example
Joshua Aronson has done extensive work on what he refers to as “stereotype threat,” which
refers to the fact that “members of stereotyped groups often feel extra pressure in situations
where their behavior can confirm the negative reputation that their group lacks a valued
...
...
Section 7.6 A Second Worked Example 211
N
35
29
GROUP
Arousal Homophobic
Nonhomophobic
Mean
24.0000
16.5034
Std.
Deviation
12.2013
11.7966
Std. Error
Mean
2.0624
2.1906
Group Statistics
Independent Samples Test
Equal variances
assumed
Equal variances
not assumed
F
.391
Sig.
.534
t
2.484
2.492
df
62
60.495
Sig.
(2-tailed)
.016
.015
Mean
Difference
7.4966
7.4966
Std. Error
Difference
3.0183
3.0087
Lower
1.4630
1.4794
Upper
13.5301
13.5138
95% Confidence
Interval of the
Difference
t Test for Equality of Means
Levene’s Test
for Equality of
Variances
Table 7.6 SPSS analyses of Adams et al. (1996) data