NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 3 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Coyle, Thomas R.; Purcell, Jason M.; Snyder, Anissa C.; Kochunov, Peter – Intelligence, 2013
This research examined whether non-"g" residuals of the SAT and ACT subtests, obtained after removing g, predicted specific abilities. Non-"g" residuals of the verbal and math subtests of the SAT and ACT were correlated with academic (verbal and math) and non-academic abilities (speed and shop), both based on the Armed Services…
Descriptors: Intelligence, College Entrance Examinations, Vocational Aptitude, Aptitude Tests
Peer reviewed Peer reviewed
Armstrong, R. D.; And Others – Applied Psychological Measurement, 1996
When the network-flow algorithm (NFA) and the average growth approximation algorithm (AGAA) were used for automated test assembly with American College Test and Armed Services Vocational Aptitude Battery item banks, results indicate that reasonable error in item parameters is not harmful for test assembly using NFA or AGAA. (SLD)
Descriptors: Algorithms, Aptitude Tests, College Entrance Examinations, Computer Assisted Testing
Ferguson, Richard L. – 1975
Assessment programs like the American College Test (ACT) and the Scholastic Aptitude Test (SAT) continue to play an important role in the admission decisions of many colleges. In many cases, they also serve a meaningful counseling and guidance function for high schools and colleges. The data reported in this paper suggest that the two programs can…
Descriptors: Academic Aptitude, Achievement Tests, Aptitude Tests, College Admission