NDLI: Predicting performance of programmer trainees in a post-high school setting

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Programmer Aptitude and Competence Test System (PACTS)

Predicting performance of programmer trainees in a post-high school setting

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Predicting performance of programmer trainees in a post-high school setting

Content Provider	ACM Digital Library
Author	Wahlstrom, Merlin W. Mussio, Jerry J.
Abstract	Determining what test or battery of tests will predict most accurately the successful completion of a course for computer programmers at a community college or other post-secondary schools is examined in this study. The rapid growth of post high school educational institutions offering programmer training together with the increased use of programmer aptitude tests requires that more be known about the widely used measurement instruments in a post-secondary setting. The best single predictor of academic performance in a programmer training course was the diagramming test of the Computer Programmer Aptitude Battery, correlating .49 with course grade. The best combination of predictors, using step-wise regression procedures, was the diagramming test, the programmer key and age-related interest scale of the Strong Vocational Interest Blank, and Russell's test of motivation for school achievement, correlating .67 with course grade. As predicted, the programmer key of the Strong Vocational Interest Blank showed that students enrolled in programmer training obtained significantly higher (p<.001) scores than students at the same educational level but not enrolled in programmer training. Trainees with interests similar to successful programmers on-the-job (scores over 50 on the key) obtained significantly higher grades (p<.05) than other students with few interests similar to successful programmers (scores below 40). The programmer key is an appropriate instrument for selecting post-secondary candidates. The optimal prediction equation, containing scores from the diagramming test of the Computer Programmer Aptitude Battery, programmer key and age-related interest scale of the Strong Vocational Interest Blank, and Russell's motivation test, is deemed sufficiently effective for use in predicting academic performance in a programmer training course.
Starting Page	26
Ending Page	46
Page Count	21
File Format	PDF
DOI	10.1145/800159.805097
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1971-06-21
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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