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Mortaz Hejri, Sara; Yazdani, Kamran; Labaf, Ali; Norcini, John J.; Jalili, Mohammad – Advances in Health Sciences Education, 2016
In a sequential OSCE which has been suggested to reduce testing costs, candidates take a short screening test and who fail the test, are asked to take the full OSCE. In order to introduce an effective and accurate sequential design, we developed a model for designing and evaluating screening OSCEs. Based on two datasets from a 10-station…
Descriptors: Models, Instructional Design, Sequential Approach, Medical Students
Carter, Gary W. – ProQuest LLC, 2013
According to the U.S. Department of Labor, by the year 2016 an estimated 51 million jobs will require some postsecondary education but not a bachelor's degree (Liming & Wolf, 2008). This represents an increase in these types of jobs of almost 11% over that of 2006. As the demand for these types of workers continues to rise, community colleges…
Descriptors: Graduation Rate, Vocational Schools, Community Colleges, Technical Institutes
Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment
Knowlden, Adam P.; Sharma, Manoj; Bernard, Amy L. – Journal of Primary Prevention, 2012
The purpose of this study was to operationalize the constructs of the Theory of Planned Behavior (TPB) to predict the sleep intentions and behaviors of undergraduate college students attending a Midwestern University. Data collection spanned three phases. The first phase included a semi-structured qualitative interview (n = 11), readability by…
Descriptors: Prediction, Theories, Undergraduate Students, Content Validity
Shepler, Dustin K.; Woosley, Sherry A. – Journal of Postsecondary Education and Disability, 2012
This study sought to better understand the early integration experiences of college students with disabilities by examining two research questions: (1) How well do the variables in Tinto's (1993) classic model of student attrition predict the early integration experiences of college students with disabilities? and (2) How do students with…
Descriptors: College Students, Social Integration, Disabilities, Statistical Analysis
Johnson, James – NACADA Journal, 2013
In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
Luna, Andrew L.; Brennan, Kelly A. – Association for Institutional Research (NJ1), 2009
This study uses a regression model to determine if a significant difference exists between the actual budget allocation that an academic department received and the model's predicted budget allocation for that same department. Budget data from a Southeastern Master's/Comprehensive state university were used as the dependent variable, and the…
Descriptors: Budgeting, Resource Allocation, Multiple Regression Analysis, Departments
Kobrin, Jennifer L.; Kim, Rachel; Sackett, Paul – College Board, 2011
There is much debate on the merits and pitfalls of standardized tests for college admission, with questions regarding the format (multiple-choice versus constructed response), cognitive complexity, and content of these assessments (achievement versus aptitude) at the forefront of the discussion. This study addressed these questions by…
Descriptors: College Entrance Examinations, Mathematics Tests, Test Items, Predictive Validity
Kieu, Hung Q. – ProQuest LLC, 2010
Leadership is critically important because it affects the health of the organization. Research has found that leadership is one of the most significant contributors to organizational performance. Expanding and replicating previous research, and focusing on the specific telecommunications sector, this study used multiple correlation and regression…
Descriptors: Predictor Variables, Telecommunications, Internet, Transformational Leadership
Barkoukis, Vassilis; Ntoumanis, Nikos; Nikitaras, Nikitas – British Journal of Educational Psychology, 2007
Background: It is commonly assumed that there is conceptual equivalence between the task and ego achievement goals proposed by Nicholl's (1989) dichotomous achievement goal theory (Nicholls, 1989), and the mastery and performance approach goals advanced by Elliot's (1997) trichotomous hierarchical model of approach and avoidance achievement…
Descriptors: Self Concept, Questionnaires, Predictive Validity, Physical Education
Roberts, A. L.; Sharma, M. D.; Britton, S.; New, P. B. – International Journal of Mathematical Education in Science and Technology, 2007
This project aimed to quantitatively measure the ability of first year science students to transfer their mathematical skills and knowledge to a physical context. An instrument used in earlier studies to measure transfer of mathematical knowledge was modified for this project, and tested with 49 student volunteers. This paper presents the Transfer…
Descriptors: Student Volunteers, Predictive Validity, Mathematics Skills, Mathematics

Schoenfeldt, Lyle F.; Lissitz, Robert W. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, TM 501 090.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction

Novick, Melvin R. – American Educational Research Journal, 1974
(See also TM 501 087, TM 501 088, and TM 501 089.)
Descriptors: Bayesian Statistics, Models, Multiple Regression Analysis, Prediction
House, William J.; Davis, Cheryl – 1986
The behavior of two real-time computer simulation models of melody recognition was compared with the performance of human subjects in this study. One of the models, INT1, recognized melodies by comparing specific intervals with stored intervals. The other model, CONT1, performed by comparing the contour of the stimulus melody with an array of…
Descriptors: Computer Simulation, Higher Education, Melody, Models
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