nd/or authorship of this article. References Aickin. M.. & Gensler, H. (1996). Adjusting for multiple testing when reporting research results: The Bonferroni vs. Holm methods. American Journal of Public Health. 86.726-728. Bachman. R.(1993). Predicting the 'evening of rape victimization: Have rape reforms

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two-tailed single-sample t-test was used to compare the distribution of LI values against zero. To main- tain an experiment-wise error rate of .05, Bonferroni correc- tion (a = .00067) was employed to address the problem of multiple comparisons, where the number of comparisons was 75. In separate analyses