with scores increasing as salary increased. An interaction between sex and condition was also significant, F(2, 150) = 5.40, p = .01. Subsequent analyses indicated that men and women did not differ at the two lower salary levels; however, the willingness scores of the women were signifi- cantly higher than those of the men for the highest ($100,000) salary level (48) = 3.213, p = .04.
When statistical significance
tests are pre- sented, the name of the symbol for the test (e.g., F, t, r)
is italicized. It is followed by the degrees of free- dom, in paren- theses, the test score, and the p-value (with 'p' italicized).
Results
We analyzed the scores of the focus question (willingness to date), in
each condition, to determine any significant differences that might exist
between conditions and sex. We found a significant increase in willing-
ness to date across salary levels for both men and women (see Figure 1). We also analyzed effects of sex and salary level using a two-way analysis
of variance (ANOVA) and found the main effect for sex was significant,
F(1, 150) = 4.58, p = .05, with women (M = 3.27, SD = 2.07) receiving
higher ratings than men (M = 2.97, SD = 1.68). Additional analyses indi-
cated a significant main effect for salary level, F(1, 150) = 294.96, p = .01,
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