The purpose of this study was to develop a weighted application blank (WAB) which would aid in the selection of employees who would be more likely to remain on the job for 3 months or more. The 31 biographical items for long- and short-tenure employees were compared to see which items differentiated. A somewhat improvised approach which compared trends of both groups (weighting group N = 169, holdout group N 89), produced five items which were significant at the .05 level and resulted in a 70% improvement over the previous method of selection. The long-tenure employee could be described as a slightly older (20 years or more) married person who lives close to the job, less educated (8th grade or less), and who can list three references.

Twenty factors identified through a factor analysis of a 102-item biographical inventory were used as predictors in a multiple regression equation to predict on-the-job performance (supervisory ratings) of oil field employees. This yielded a multiple R of .41. A total of 295 subjects participated in the study. Cross-validation yielded a correlation coefficient of .06. The t-test analyses of the factor means of equipment operators and field mechanics proved that two factors could discriminate between the groups, Mechanical Experience (p<.01) and Social Orientation (p<.05). The results of this study indicate that conducting a factor analysis of unvalidated biographical items and attempting to predict performance would be less appropriate than factor analyzing predictive items to gain an understanding of their underlying dimensions.