This study was an attempt to establish and compare prediction equations for determining a minimum GPA of 2. 00 in the Applied Arts programs at Dixie College. It also attempted to compare the derived predict ion equations used to determine mini mum GPA 1 s in both the Academic Arts and Applied Arts Divisions. The study compared the derived prediction equations used to determine minimum GPA's for each vocational program in the Applied Arts Division. The study attempted to determine and compare t he most reliable predictor in the Academic Arts Division, total Applied Arts Division, and each vocational program in the Applied Arts Division.
In conclusion, the thesis illustrates what percent of the total variation of GPA could be accounted for by the derived prediction equations in the Academic Arts Division, total Applied Arts Division, and in each vocational program in the Applied Arts Division. It also determined that the ACT Social Science subtest score proved to be the best single predictor for both the Academic Arts and Applied Arts Divisions at Dixie College as well as for the vocational programs of Architectural Drafting and Airline Stewardess. The ACT Composite score proved to be the best single predictor in the vocational programs of Auto Mechanics, Electronics, and Business Education at Dixie College.
| Identifer | oai:union.ndltd.org:UTAHS/oai:digitalcommons.usu.edu:etd-4022 |
| Date | 01 May 1970 |
| Creators | Cobb, Robert L. |
| Publisher | DigitalCommons@USU |
| Source Sets | Utah State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | All Graduate Theses and Dissertations |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact Andrew Wesolek (andrew.wesolek@usu.edu). |
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