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Skinner, Benjamin Thomas – ProQuest LLC, 2017
In this dissertation I investigate postsecondary online education with three research questions: 1. What is the connection between broadband access and the number of students who attempt online coursework? 2. What is the effect of online course delivery on course persistence and, conditional on completion, the likelihood of passing the course? 3.…
Descriptors: Bayesian Statistics, Online Courses, Enrollment, Conventional Instruction
Ministry of Advanced Education, 2016
The Ministry of Advanced Education provides leadership and direction for the world class postsecondary education and training system in British Columbia. Through a range of public and private post-secondary institutions, the Ministry has played a key role in ensuring B.C. has the skilled workers needed to capitalize on economic opportunities and…
Descriptors: Annual Reports, Postsecondary Education, Public Agencies, Government Role
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Carthy, Aiden – Journal of Learning Analytics, 2014
Increasing college participation rates, and diversity in student population, is posing a challenge to colleges in their attempts to facilitate learners achieve their full academic potential. Learning analytics is an evolving discipline with capability for educational data analysis that could enable better understanding of learning process, and…
Descriptors: Psychometrics, Data Analysis, Academic Achievement, Postsecondary Education
Leonard, Tom; Novick, Melvin R. – Journal of Education Statistics, 1986
A general approach is proposed for modeling the structure of a r x s contingency table and for drawing marginal inferences about all parameters (e.g., interaction effects) in the model. The main approach is relevant whenever rs minus r minus s plus 1 is greater than or equal to 5. Military aptitude test data is used as illustration. (Author/LMO)
Descriptors: Aptitude Tests, Bayesian Statistics, Goodness of Fit, Interaction
Peer reviewedTobias, Justin L. – Economics of Education Review, 2002
Uses a flexible modeling strategy to examine the roles of measured ability, family characteristics, and proxies for secondary schooling quality as determinants of the decision to enter college. Finds that the link functions and estimated impacts of ability and family characteristics on the probabilities of enrolling in college are not constant…
Descriptors: Academic Ability, Bayesian Statistics, Educational Economics, Educational Quality
Mislevy, Robert J. – 1986
The precision of item parameter estimates can be increased by taking advantage of dependencies between the latent proficiency variable and auxiliary examinee variables such as age, courses taken, and years of schooling. Score gains roughly equivalent to two to six additional item responses can be expected in typical educational and psychological…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Information Utilization, Item Analysis
Alberta Advanced Education and Technology, 2008
In November of 2007, Alberta Advanced Education and Technology contracted Insightrix Research, Inc. to conduct a survey of individuals who graduated from post-secondary institutions in Alberta in the fall of 2005 or the spring of 2006 (excluding apprenticeship graduates, who are surveyed through a separate initiative). The purpose of the survey is…
Descriptors: Higher Education, Foreign Countries, Postsecondary Education, Graduate Surveys
Peer reviewedSahai, Hardeo; Reesal, Michael R. – School Science and Mathematics, 1992
Illustrates some applications of elementary probability and statistics to epidemiology, the branch of medical science that attempts to discover associations between events, patterns, and the cause of disease in human populations. Uses real-life examples involving cancer's link to smoking and the AIDS virus. (MDH)
Descriptors: Bayesian Statistics, Epidemiology, Integrated Activities, Mathematical Applications
Saar, Shalom; And Others – 1978
The Multi-Attribute Utilities Theory (MAUT), a model for the evaluation of public postsecondary programs, is presented and is applied to a study of WINNERS (Women's Inner-City Educational Resources Service) with an analysis of the effects of the model on the program. The first chapter provides an overview of the MAUT approach, outlining 16 steps…
Descriptors: Bayesian Statistics, Evaluation Methods, Federal Programs, Higher Education

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