| Abstract: | SVIB profiles of 1169 freshmen entering a college of engineering were grouped according to total occupational scale profile similarity into 28 code types. Mean scores or percentages for the individuals in each code type were compared to base rate values for income variables including ability, personality, and socioeconomic data and outcome variables including academic progress, choice of major, counsel-seeking behavior, and place of residence. The data for four code types were presented together with examples of how the results might be used by a counselor. The investigators concluded that SVIB profile types can be useful in acting as moderator variables to predict student characteristics, and that total profile analysis of the SVIB occupational scale merits further attention. |
