Abstract
M siuay was aone 10 esiaDiisn me vanauy or crueria usea Tor aamission to a midwest community college MLT-AD program and to determine the relationship between graduate age, college grade point average, ACT scores, and scores obtained on the ASCP MLT-AD Registry Examination. Using ttests, no statistically significant differences were found between graduates and nongraduates in age and ACT composite. However, the f-test was significant in regard to high school rank. Significant relationships were also found between both the college GPA and the ASCP MLT-AD Registry scores and all independent variables except mathematics when Pearson correlation coefficients were calculated. The variables that contributed significantly to the multiple correlation for predicting the college GPA include the ACT composite and age. College GPA and ACT natural science scores contribute to the multiple correlation equation for predicting performance on the Registry exam. Reliance on ACT subsection scores and high school rank for determining program eligibility is unwarranted. Using multiple correlation equations to predict college performance could be a more effective means of selecting students.
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