Bayesian data analytic procedures were used to assess the effects of a new undergraudate advising program designed to focus on students who do not initially declare a major field of study. Past research has shown that these students tend to graduate at a low rate, relative to those who do declare majors. It was hypothesized that these students also perform less well on the average than those who do declare majors. Of particular concern were high-ability, "undecided" students. Three criteria were used to evaluate the advising program: first-semester dropout rate, first-year dropout rate, and first-semester grade point average (GPA). Two samples of high-ability (ACT Composite greater than 25), undecided freshmen, coming from two entering class cohorts, were used in the study. One group was included in the new program; the other was advised in the traditional manner. The results of the study were mixed, depending on the criterion of choice. Given the selected priors and loss function, analysis with first-year dropout rate as the criterion was supportive of the program, whereas analyses with the other criteria were not. It is suggested that a similar analysis with second-semester GPA as the criterion, could further examine the effectiveness of the program for high ability, undecided students. It is also suggested that the effects of the new advising program are not fully seen until the second semester of the freshmen year. (Author/LB)