A survey of 525 undergraduates found that 40 percent of the women and 28.7 percent of the men had been sexually harassed by a college professor or instructor. Most incidents were gender harassment. While women reported significantly more gender harassment than did men, there were no gender differences in the frequency of unwanted sexual attention or sexual coercion. At least one incident of sexual harassment by a professor was experienced by 30 percent of the Blacks, 30 percent of the Hispanics, 33 percent of the Asians, 30 percent of the students of other minority groups, and 39 percent of the whites. Again, most of the experiences were gender harassment. Among those respondents who had experienced at least one incident of sexual harassment, almost all answered “never” to the question “Have you ever been sexually harassed by a college professor or instructor?” We conclude with some suggestions, particularly the need to improve measurement of the harassment experiences of men and of nonwhite women.

Many state domestic violence intervention standards mandate that treatment for offenders should be separate from any treatment offered to victims. In this article we advocate that in cases of low-level violence, when couples choose to remain together, certain aspects of treatment should be offered conjointly. Specifically, our feedback from victims and offenders suggests that one tool generally taught to offenders-time-out--is often ineffective and can be used abusively when partners are not taught the tool concurrently. We describe the negotiated time-out procedure that we developed and use feedback from our clients to illustrate its usefulness.

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Transcribing interview data is a time-consuming task that most qualitative researchers dislike. Transcribing is even more difficult for people with physical limitations because traditional transcribing requires manual dexterity and the ability to sit at a computer for long stretches of time. Researchers have begun to explore using an automated transcription process using digital recordings and voice recognition software (VRS). While VRS has improved in recent years, it is not yet available to the general public in a format that can recognize more than one recorded voice. This article outlines a strategy used to circumvent this problem and improve the speed and ease of transcription. The equipment and the Voice Transcription Technique used are outlined, as well as suggestions for future technological advances in transcription.