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Download full textCrouse, Jill; Harmston, Matt; Radunzel, Justine – ACT, Inc., 2017
In 2014, ACT developed a method to identify high school students who had an interest in Science, Technology, Engineering, and Mathematics (STEM)-related fields. By using ACT data elements, this method provided two different types of STEM interest: Expressed and measured. Based on these STEM interest types, students can be assigned to one of four…
Descriptors: STEM Education, High School Students, Student Characteristics, Validity
Direct linkWebber, Douglas A. – Cornell Higher Education Research Institute, 2011
Using detailed individual-level data from public universities in the state of Ohio, I estimate the effect of various institutional expenditures on the probability of graduating from college. Using a competing risks regression framework, I find differential impacts of expenditure categories across student characteristics. I estimate that student…
Descriptors: Public Colleges, Educational Finance, Cost Effectiveness, College Administration
Spray, Judith A.; Abdel-fattah, Abdel-fattah A.; Huang, Chi-Yu; Lau, C. Allen – 1997
The primary concern or focus of a certification or licensure test is to obtain valid criterion-referenced information regarding a candidate's competence to practice. When the test is administered by computer, a valid pass/fail decision can be made with fewer items than an equivalent paper/pencil test by targeting items at the passing score and…
Descriptors: Classification, Competence, Computer Assisted Testing, Item Banks
Hanson, Bradley A.; Bay, Luz; Loomis, Susan Cooper – 1998
Research studies using booklet classification were implemented by the American College Testing Program to investigate the linkage between the National Assessment of Educational Progress (NAEP) Achievement Levels Descriptions and the cutpoints set to represent student performance with respect to the achievement levels. This paper describes the…
Descriptors: Academic Achievement, Classification, Cutting Scores, Discriminant Analysis
