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Naseem, Mohammed; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…
Descriptors: College Freshmen, Student Attrition, School Holding Power, Dropout Prevention
Chen, 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)
Huang, Liuli; Roche, Lahna R.; Kennedy, Eugene; Brocato, Melissa B. – International Journal of Higher Education, 2017
Many researchers have explored the relationships between the likelihood of graduating from college and demographic and pre-college factors such as gender, race/ethnicity, high school grade point average (GPA), and standardized test scores. However, additional factors such as a student's college major, home address, or use of learning support in…
Descriptors: Graduation Rate, Predictor Variables, Predictive Measurement, Predictive Validity
Mertes, Scott J.; Hoover, Richard E. – Community College Journal of Research and Practice, 2014
Retention is a complex issue of great importance to community colleges. Several retention models have been developed to help explain this phenomenon. However, these models typically have used four-year college and university environments to build their foundations. Several researchers have attempted to identify predictor variables using…
Descriptors: Community Colleges, Predictor Variables, College Freshmen, Academic Persistence
Crouch, Suzanne J. – Journal of College Teaching & Learning, 2015
The purpose of this study was to assess the merit of the Watson-Glaser Critical Thinking Appraisal as a pre-admission criterion in conjunction with the frequently utilized admission criteria of the college prerequisite grade point average and the National League of Nursing pre-admission test. Data were collected from 192 first-year nursing…
Descriptors: Nursing Education, Success, Predictor Variables, Admission Criteria
Synco, Tracee M. – ProQuest LLC, 2012
Tinto, Astin and countless others have researched the retention and attrition of students from college for more than thirty years. However, the six year graduation rate for all first-time full-time freshmen for the 2002 cohort was 57%. This study sought to determine the retention variables that predicted continued enrollment of entering freshmen…
Descriptors: College Entrance Examinations, School Holding Power, Grade Point Average, Supplementary Education
Whalen, Donald F; Shelley, Mack C., II – Journal of STEM Education: Innovations and Research, 2010
Enrollment in STEM majors has improved recently, but there continues to be concern over students' retention in those majors, especially women and minority students. The purpose of this study is to develop an integrated understanding of how multiple predictor variables affect student degree attainment, and to ascertain how those variables' impact…
Descriptors: Majors (Students), Predictor Variables, Minority Groups, School Holding Power
Comer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Davey, Carla Mae – ProQuest LLC, 2010
According to generational theorists, the interests and experiences of incoming students have fluctuated over time, with Millennial students being more engaged and accomplished than their predecessors. This project explored data from 1974-2007 to determine the actual trends in engagement and accomplishments for three generations of students. Over…
Descriptors: Learner Engagement, School Activities, Grade Point Average, School Holding Power
Kunert, Kenneth M. – 1970
The limited success in predicting academic achievement by the use of personality factors may be attributable to failure to delimit sufficiently the nature of the group being predicted, resulting in subtle differences lying hidden in the remaining random variance of the procedures. This study attempted to enhance prediction by a more precise…
Descriptors: Academic Achievement, College Freshmen, Grade Point Average, Personality Measures
Lunneborg, Patricia W. – Educ Psychol Meas, 1970
Personality patterns did not improve prediction from aptitude and achievement variables in the weight determination sample and in cross-validation actually cancelled out predictability from traditional measures. Prediction of college grades from high school grades and aptitude tests was, on the other hand. both accurate and consistent. (Author)
Descriptors: Academic Achievement, College Freshmen, Counseling, Evaluation Methods
Purdie, John R., II; Williams, James E.; Ellersieck, Mark R. – Journal of Agricultural Education, 2007
All first-year students who entered the University of Missouri-Columbia as animal science majors between the fall of 1998 and 2004 (n = 619) had the opportunity to participate in a residentially-based Freshmen Interest Group (FIG) and/or a learning community specifically designed for them. The odds of graduating is significant for all three…
Descriptors: Majors (Students), College Freshmen, First Year Seminars, Student Participation
Steele, Maryann E. – 1979
The Mahalanobis distance model was compared with the linear discriminant function model and found to provide very similar results, even when a number of the variables were binary. A group of college freshmen were categorized into two groups: 116 "leavers," students who did not return for the second year, and 269 "returners."…
Descriptors: College Freshmen, Discriminant Analysis, Dropouts, Higher Education
Janzen, Henry L.; Johnston, Edwin F. – 1970
Mount Royal College, a Canadian community college, has an open door policy on admissions. Hence it needs a strong counseling division in order to place entering students at appropriate skill levels. Since the American College Testing Program tests have seen limited use in Canada, research is needed to establish and validate local norms. The…
Descriptors: Academic Achievement, College Freshmen, College Students, Community Colleges

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