PREDICTING STUDENTS AS DEEP AND SHALLOW PROCESSORS OF INFORMATION

This study predicted the classification of subjects into deep and shal low professors of information. Subjects were 38 deep processors (who s cored in the top 25% on the Deep Processing subscale of the Inventory of Learning Processes) and 39 shallow processors (who scored in the bo ttom 25% on the subscale). The five scores were Chance (from the Inter nality, Powerful Others, and Chance Locus of Control), Total Stress (f rom Student-life Stress Inventory), Elaborative Processing and Methodi cal Study (from the Inventory of Learning Processes), and Inference (f rom Watson-Glaser Critical Thinking Appraisal). Discriminant function analysis showed 71.1% correct classification of the deep processors an d 79.5% of the shallow processors.