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Showing 1 to 15 of 50 results Save | Export
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Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
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Meiser, Thorsten; Rummel, Jan; Fleig, Hanna – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Pseudocontingencies are inferences about correlations in the environment that are formed on the basis of statistical regularities like skewed base rates or varying base rates across environmental contexts. Previous research has demonstrated that pseudocontingencies provide a pervasive mechanism of inductive inference in numerous social judgment…
Descriptors: Inferences, Correlation, Decision Making, Probability
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Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
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Sude, Yujie; DeAngelis, Corey A.; Wolf, Patrick J. – Journal of School Choice, 2018
Since school voucher funds are public, policymakers fiercely debate how those funds should be spent. A goal of many decision-makers is to ensure that every private school option is "high-quality" through program accountability regulations. Private schools, however, decide whether to participate in a private school choice program and…
Descriptors: School Involvement, Educational Vouchers, Decision Making, Public Schools
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
Greenwood, Charles R.; Beecher, Constance; Atwater, Jane; Petersen, Sarah; Schiefelbusch, Jean; Irvin, Dwight – Topics in Early Childhood Special Education, 2018
A gap exists in the information needed to make intervention decisions with preschool children who are unresponsive to instructional intervention. "Multi-Tiered System of Supports/Response to Intervention" (MTSS/RTI) progress monitoring is helpful in indicating when an intervention change is needed but provides little information on what…
Descriptors: Preschool Children, Individualized Education Programs, Literacy, Probability
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Lopez-Mobilia, Gabriel; Woolley, Jacqueline D. – Journal of Cognition and Development, 2016
In 2 studies, we attempted to capture the information-processing abilities underlying children's reality-status judgments. Forty 5- to 6-year-olds and 53 7- to 8-year-olds heard about novel entities (animals) that varied in their fit with children's world knowledge. After hearing about each entity, children could either guess reality status…
Descriptors: Cognitive Processes, Children, Animals, Decision Making
Cecile C. Dietrich; Eric J. Lichtenberger – Sage Research Methods Cases, 2016
We present a case study of the process through which a methodology was developed and applied to a quasi-experimental research study that employed propensity score matching. Methodological decisions are discussed and summarized, including an explanation of the approaches selected for each step in the study as well as rationales for these…
Descriptors: Test Construction, Quasiexperimental Design, Community Colleges, Fees
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Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
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Vanderveldt, Ariana; Green, Leonard; Myerson, Joel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The value of an outcome is affected both by the delay until its receipt (delay discounting) and by the likelihood of its receipt (probability discounting). Despite being well-described by the same hyperboloid function, delay and probability discounting involve fundamentally different processes, as revealed, for example, by the differential effects…
Descriptors: Rewards, Delay of Gratification, Probability, Money Management
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Miller, Joshua J.; Nikaj, Silda – Education Economics, 2018
Using the Educational Longitudinal Study of 2002 (ELS 2002), a unique survey that tracks High School sophomores to young adulthood, we estimate the relationship between student loan debt, educational attainment, and tenure choice. We improve upon prior studies by matching pre-treatment characteristics through coarsened exact matching (CEM) and…
Descriptors: Decision Making, Dropouts, Bachelors Degrees, High School Students
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Polka, Walter; Litchka, Peter; Mete, Rosina; Ayaga, Augustine – Journal of Catholic Education, 2016
The authors of the article outline a historical review of Catholic education and student enrollment in North America and a recent perspective of Catholic school principals' decision-making and problem-solving preferences. The purpose of this article is to provide the reader with an understanding of events which impacted the evolution of Catholic…
Descriptors: Catholic Schools, Principals, Decision Making, Problem Solving
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Albaek, Karsten – Education Economics, 2017
This paper analyses admission decisions when students from different high school tracks apply for admission to university programmes. I derive a criterion that is optimal in the sense that it maximizes the graduation rates of the university programmes. The paper contains an empirical analysis that documents the relevance of theory and illustrates…
Descriptors: College Admission, Graduation Rate, Admission Criteria, Higher Education
Cimpian, Joseph R.; Thompson, Karen D.; Makowski, Martha B. – American Educational Research Journal, 2017
Effectively educating the large English learner population requires policymakers to ensure developmentally appropriate settings and services throughout the time students are learning English, as well as during their transition to fluent English proficient status--a process termed "reclassification." Using longitudinal student-level data…
Descriptors: English Language Learners, Classification, Developmentally Appropriate Practices, Longitudinal Studies
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Solomon, Benjamin G.; Forsberg, Ole J. – School Psychology Quarterly, 2017
Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…
Descriptors: Bayesian Statistics, Regression (Statistics), Least Squares Statistics, Evaluation Methods
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