Moderated regression is a commonly used technique within the behavioral sciences. The power of such analyses, however, is dependent on the strength of the moderator relationship and the distribution of the moderator variable. This study compares the traditional moderated technique with a technique designed to increase the probability of the indication of a moderator variable. The results indicate that, often, the detection of moderator variables is not so much dependent on their existence but, rather, is dependent on their strength. The results also indicate that the ability to detect moderators also depends on the distribution of the moderator variable. Finally, the results indicate that a higher probability of detecting a moderator exists if the interaction is entered into the regression first.
The number of student-managed investmentfinds has grown rapidly in recent years. In the four decades since the first student-managed investment fimd was established at Gannon University, the number of such&nds has grown at a rate of less than one per year to thirty-four in 1993. However, that rate of growth has changed dramatically in recent years. Oak Associates Ltd., the Akron, Ohio based investment-management com- pany, has funded ten student-managed investment finds since January 1996. The fund established by Oak Associates Ltd. at The University of Akron provides students with the opportunity to learn about investing real money on a real-time basis. The Oak Grant provides significant educational opportunities at the University and some real chal- lenges in the organization and management of the finds.
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