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dc.contributor.advisorHartley, H. O.
dc.creatorCoker, Billye Catharine
dc.description.abstractThis 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. ...en
dc.format.extent71 leavesen
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subject.classification1974 Dissertation C682
dc.titleClassification of students into different technologies by means of interest and personality patternsen
dc.typeThesisen and Extension Educationen A&M Universityen of Philosophyen
dc.contributor.committeeMemberAnderson, R. J.
dc.contributor.committeeMemberKshirsagar, A. M.
dc.contributor.committeeMemberSmith, W. B.
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries

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