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Yang, Shuo – ProQuest LLC, 2017
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…
Descriptors: Probability, Models, Prediction, Longitudinal Studies
Jamil, Tahira; Marsman, Maarten; Ly, Alexander; Morey, Richard D.; Wagenmakers, Eric-Jan – Educational and Psychological Measurement, 2017
In 1881, Donald MacAlister posed a problem in the "Educational Times" that remains relevant today. The problem centers on the statistical evidence for the effectiveness of a treatment based on a comparison between two proportions. A brief historical sketch is followed by a discussion of two default Bayesian solutions, one based on a…
Descriptors: Bayesian Statistics, Evidence, Comparative Analysis, Problem Solving
Papadimitriou, Maria; Johnes, Jill – Studies in Higher Education, 2019
This paper focuses on the effect of merger on university efficiency. In a first stage analysis, efficiency scores of English universities are derived for a 17-year period using the frontier estimation method data envelopment analysis. A second stage analysis explores the effect of merger and other factors on efficiency. We find that mean…
Descriptors: Organizational Change, Universities, Efficiency, Educational Policy
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
McLaughlin, Jacqueline E.; McLaughlin, Gerald W.; McLaughlin, Josetta – Journal of Higher Education Policy and Management, 2015
The role and impact of diversity in higher education has permeated conversations about student access and achievement for many years. Language articulated by various courts suggests that higher education policies should reflect a broad conceptualisation of diversity beyond that of the magnitude and proportion of race and ethnicity, yet…
Descriptors: Student Diversity, Higher Education, Measurement Techniques, Court Litigation
Letué, Frédérique; Martinez, Marie-José; Samson, Adeline; Vilain, Anne; Vilain, Coriandre – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Repeated duration data are frequently used in behavioral studies. Classical linear or log-linear mixed models are often inadequate to analyze such data, because they usually consist of nonnegative and skew-distributed variables. Therefore, we recommend use of a statistical methodology specific to duration data. Method: We propose a…
Descriptors: Behavioral Science Research, Research Methodology, Statistical Analysis, Repetition
Kelly, Ursula; McNicoll, Iain; White, James – Universities UK, 2015
This study provides an analysis of the economic impact of Ulster University and its students on the Northern Ireland economy. With over 26,000 students, Ulster University is Northern Ireland's largest university in terms of student numbers. With its headquarters based at the Coleraine Campus, it has three more campuses in Northern Ireland: the…
Descriptors: Foreign Countries, Universities, Campuses, Economic Factors
Johnson, Roger W.; Kliche, Donna V.; Smith, Paul L. – Journal of Statistics Education, 2015
Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may…
Descriptors: Data Analysis, Meteorology, Weather, Measurement Techniques
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Hintze, John M.; Wells, Craig S.; Marcotte, Amanda M.; Solomon, Benjamin G. – Journal of Psychoeducational Assessment, 2018
This study examined the diagnostic accuracy associated with decision making as is typically conducted with curriculum-based measurement (CBM) approaches to progress monitoring. Using previously published estimates of the standard errors of estimate associated with CBM, 20,000 progress-monitoring data sets were simulated to model student reading…
Descriptors: Decision Making, Accuracy, Curriculum Based Assessment, Progress Monitoring
Beaver, William – College and University, 2014
Non-selective Division III institutions often face challenges in meeting their enrollment goals. To ensure their continued viability, these schools recruit large numbers of student athletes. As a result, when compared to FBS (Football Bowl Division) institutions these schools have a much higher percentage of student athletes on campus and a…
Descriptors: Enrollment Trends, Enrollment Rate, Enrollment Management, College Athletics
Barra, Cristian; Zotti, Roberto – Tertiary Education and Management, 2017
The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…
Descriptors: Efficiency, School Statistics, Student Records, Information Utilization
Bittner, Teresa L. – Teaching Statistics: An International Journal for Teachers, 2013
Although researchers have documented that some data make larger contributions than others to predictions made with least squares models, it is relatively unknown that some data actually make no contribution to the predictions produced by these models. This article explores such noncontributory data. (Contains 1 table and 2 figures.)
Descriptors: Least Squares Statistics, Prediction, Models, Statistical Data
Gross, Jacob P. K.; Zerquera, Desiree; Inge, Brittany; Berry, Matthew – Journal of Hispanic Higher Education, 2014
Lack of financial resources to pay for postsecondary education--perceived and actual--has been cited as a barrier to student access and persistence, particularly for Latino students. This study investigates the following question: "To what extent does financial aid affect the educational attainment of Latinos enrolled in Associate's degree…
Descriptors: Associate Degrees, Hispanic American Students, Graduation Rate, Student Financial Aid
Po, Yang; Yunbo, Liu – Chinese Education & Society, 2017
In the rapid development of Chinese higher vocational education, large gaps have appeared in the scale of development and resource generation among the provinces, among regions in the provinces, and among higher education institutions in the provinces. Balanced regional development and provincial-level coordination have become policy focal points,…
Descriptors: Higher Education, Vocational Education, Governance, Models