“…As a result, Type I errors are usually focused on more frequently and guarded against more stringently by researchers (Baroudi & Orlikowski, 1989;Brewer, 1972;Chase & Chase, 1976;Cohen, 1977;Cowles & Davis, 1982;Greenwald, 1993;Mazen, Graf, et al, 1987;Myers & Melcher, 1969;Mone et al, 1996;Nickerson, 2000;Rossi, 1990;Sedlmeier & Gigerenzer, 1989). However, it is important to note that several authors (e.g., Mazen, Graf, et al, 1987;Sauley & Bedeian, 1989) advocate distributing the risk between Type I and Type II errors because the risks/consequences associated with committing a Type II error may be extremely costly. In other words, the ratio of β:α should be sensitive to the relative risks inherent in Type I and Type II errors for every test conclusion (Mazen, Graf, et al, 1987;Sauley & Bedeian, 1989).…”