The purpose of this study was to develop and evaluate a shop safety attitude scale that could be administered at the beginning of a shop course to help identify students who may be accident repeaters. A semantic differential scale was adapted from one originated by Osgood and his associates (1964) and administered to a sample of 125 university students (63 in a metals and welding course and 62 in a carpentry and concrete course). Other data were obtained from a social desirability test, a mechanical aptitude test, an accident survey, ACT scores, high school rank, cumulative college grade-point average (GPA), college class rank, and age. The Mouflon step-wise regression technique was employed in selecting the best predictor of accident experience. By using selected scores from the semantic differential scale, 15.68 percent of the variance could be accounted for in predicting the number of injuries a student may have which would require a doctor's treatment or first aid during a 3-year period. However, when mechanical aptitude test score, ACT score, GPA, age, and three variables from the semantic differential attitude scale were included in the regression scale, 23.36 percent of the variance could be accounted for in predicting the number of property damage accidents for which the student was to blame. It was concluded that it is possible to develop a shop safety attitude scale to predict accident experience. (Author/SB)