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Direct linkChen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
Download full textReckase, Mark D.; McKinley, Robert L. – 1982
This paper reviews the existing multidimensional item response theory (IRT) models and demonstrates how one of the models can be applied to estimation of abilities from a test measuring more than one dimension. The purposes of this paper were threefold. First, the fundamental concepts required when considering multidimensional models for the…
Descriptors: Estimation (Mathematics), Higher Education, Latent Trait Theory, Mathematical Models
PIERSON, ROBERT A. – 1966
TO DETERMINE WHETHER ARBITRARY GRADE-POINT AVERAGE CUT-OFF POINTS (E.G. 2.25) FOR ENTRANCE INTO TEACHER EDUCATION PROGRAMS ARE UNFAIR TO PRESENT-DAY STUDENTS, NINETY 1966 COLLEGE SOPHOMORES WITH FRESHMAN-YEAR GPA'S BETWEEN 2.00 AND 2.09 WERE COMPARED TO THE SAME NUMBER OF 1961 SOPHOMORES WITH FRESHMAN-YEAR GPA'S BETWEEN 2.25 AND 2.34 USING (1)…
Descriptors: Academic Achievement, Admission Criteria, Aptitude Tests, Class Average
Zarate, Narcisa – 1976
Factors which relate to academic success for university freshmen were investigated. Objectives were to: determine which of six independent variables were most highly related to and predictive of a 2.0 (C) cumulative grade point average (GPA), the dependent variable, for two consecutive quarters; determine which combination of factors could most…
Descriptors: Academic Achievement, Anglo Americans, College Entrance Examinations, College Freshmen
