Abstract
This study was designed to determine whether combined interest and personality variables can be used to classify students into different technical programs. One hundred forty-nine students in five technologies were administered the Sixteen Personality Factor Questionnaire and the Hackman-Gaither Vocational Interest Inventory. Their scores were subjected to discriminant analysis and predictor variables were found which correctly predicted the program classification of the students with 35% to 81% success. The total population appeared to be introverted; this attenuated the variance and reduced the effectiveness of the personality variables in separating the students, but four interest variables and three personality variables had F ratios significant at the .05 level. This technique would be even more successful in classifying students in a population with more diverse interests and personalities. ...
Coker, Billye Catharine (1974). Classification of students into different technologies by means of interest and personality patterns. Doctoral dissertation, Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -170132.