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Gomes, Cristiano Mauro Assis; Almeida, Leandro S. – Practical Assessment, Research & Evaluation, 2017
Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…
Descriptors: Predictive Measurement, Statistical Analysis, Decision Making, Foreign Countries
Porter, Kristin E.; Balu, Rekha; Hendra, Richard – MDRC, 2017
This post is one in a series highlighting MDRC's methodological work. Contributors discuss the refinement and practical use of research methods being employed across the organization. Across policy domains, practitioners and researchers are benefiting from a trend of greater access to both more detailed and frequent data and the increased…
Descriptors: Social Services, At Risk Persons, Caseworker Approach, Probability
Pinder, Jonathan P. – Decision Sciences Journal of Innovative Education, 2014
Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…
Descriptors: Data Collection, Data Analysis, Regression (Statistics), Predictive Measurement
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
Cutler, David M.; Meara, Ellen; Richards-Shubik, Seth – Journal of Human Resources, 2012
We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…
Descriptors: Evidence, Innovation, Medical Services, Infants
Western, Drew; Weinberger, Joel – American Psychologist, 2004
This article reconsiders the issue of clinical versus statistical prediction. The term clinical is widely used to denote 1 pole of 2 independent axes: the observer whose data are being aggregated (clinician/expert vs. lay) and the method of aggregating those data (impressionistic vs. statistical). Fifty years of research suggests that when…
Descriptors: Psychometrics, Prediction, Inferences, Predictive Measurement
Peer reviewedPetrovich, Janice – Educational Record, 1984
A look at recent enrollment trends (including projected declines) is provided. The feared decline in postsecondary enrollments has not yet occurred; however, other economic, demographic, and social pressures contributed to the changing the character of the postsecondary student body. (MLW)
Descriptors: Charts, College Attendance, College Freshmen, Data Analysis
Mazur, James E. – Journal of the Experimental Analysis of Behavior, 2006
The use of mathematical models in the experimental analysis of behavior has increased over the years, and they offer several advantages. Mathematical models require theorists to be precise and unambiguous, often allowing comparisons of competing theories that sound similar when stated in words. Sometimes different mathematical models may make…
Descriptors: Mathematical Models, Mathematical Formulas, Psychologists, Predictive Measurement
Jorgensen, C. C.; Hoffer, P. L. – 1978
Developed for application in Air Force weapons systems training programs, a research project investigated the methods, procedures, and data available for conducting cost and training effectiveness analyses (CTEA). The primary objective of the project was to develop a user-oriented procedure for early formulation of training programs that can be…
Descriptors: Cost Effectiveness, Cost Estimates, Data Analysis, Equipment Utilization

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