Career recommendations were made based on aptitude scores of 335 high school freshmen. Artificial neural networks were used to map recommendations to 12 occupational clusters. Overall accuracy of neural networks (.80) approached that of discriminant function analysis (.84). The two methods had different strengths and weaknesses. (SK)

Attempted to replicate study determining relationship between appropriateness of career choices and career maturity test scores in rural ninth grade students (N=112) using Goal Selection scale of Career Maturity Inventory Competence Test and American College Testing Program Career Planning Program. Found two career maturity measures correlated…

Found ability of ninth graders (N=365) to accurately appraise career-relevant capabilities of others had nothing to do with ability to be good self-appraisers. Found race and sex differences in ability to appraise others. Found scholastic ability accounted for four times as much variance in ability to appraise others as oneself. Found students…

Suggested a model of decision making as a potential tool for assisting people in the process of career planning and tested the model on university students (N=40) and ninth-grade students (N=44). Concluded that the model had high predictive power regarding the actual choices made. (LLL)