Many organizations employ training systems to reduce work-related low back disorders. However, the evaluation of training programs is often not satisfactory, mainly due to the complexity of training systems, the high costs involved, heavy reliance on trainee reactions, and little integration of outcomes-based validation. In this work, we used the Revised Bloom's Taxonomy to classify the learning objectives of a training program. These classified objectives were then examined to predict training performance, and were further compared with trainee reactions using multiple regression and correlation analyses accordingly. Results indicated that the classified learning objectives were better predictors of training performance than trainee reactions. Practical implications of the results are discussed.
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