| Abstract: | The present study deals with implementing and evaluating Schoenfeldt's assessment-classification model in an industrial setting using a multiplicity of job families and a range of criteria. A total of 1,987 non-exempt employees of a U. S. oil company were administered an extensive autobiographical inventory. Hierarchical clustering of the resulting biographical profiles produced 18 subgroups of employees such that within any one subgroup, background experiences and interests were similar and between subgroups they were different. A similar methodology was applied to job analysis data in creating a structure of 19 job families for 939 office and clerical jobs. Significant relationships were found between biodata subgroups and criteria of sex, education level, termination rate, equal employment opportunity job classification and performance ratings. There was no statistically significant relationship between subgroup membership and race. In addition, there was a significant relationship between subgroups and job families. Applications for a variety of personnel management practices are discussed. |
