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William Parker Morgan IV – ProQuest LLC, 2020
Accurate placement into an initial college mathematics course is a key step toward the successful completion of college mathematics and, eventually, a college degree. Conversely, misplacement in mathematics may lead to a reduced likelihood of course completion and degree attainment. This study investigated the ability of two placement models to…
Descriptors: College Mathematics, College Students, Student Placement, Mathematics Achievement
Wiggins, Afi Y.; Stelling, Laura – Online Submission, 2015
This supplemental report provides technical documentation for the full report (published separately) concerning the 63% of AISD's Class of 2013 graduates who enrolled in a postsecondary institution the year after high school, and 74% of Class of 2012 graduates persisted in college for a second year. [For the full report, see ED626498.]
Descriptors: Postsecondary Education, College Attendance, Enrollment Trends, High School Graduates
Tsutakawa, Robert K.; Lin, Hsin Ying – 1984
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. The procedure is illustrated by data…
Descriptors: Algorithms, Bayesian Statistics, College Entrance Examinations, Estimation (Mathematics)
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