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Grissom, Jason A.; Kalogrides, Demetra; Loeb, Susanna – American Educational Research Journal, 2017
School performance pressures apply disproportionately to tested grades and subjects. Using longitudinal administrative data--including achievement data from untested grades--and teacher survey data from a large urban district, we examine schools' responses to those pressures in assigning teachers to high-stakes and low-stakes classrooms. We find…
Descriptors: Student Records, Academic Achievement, Teacher Surveys, Tests
Goldhaber, Dan; Long, Mark C.; Person, Ann E.; Rooklyn, Jordan – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2017
We investigate factors influencing student sign-ups for Washington State's College Bound Scholarship (CBS) program. We find a substantial share of eligible middle school students fail to sign the CBS, forgoing college financial aid. Student characteristics associated with signing the scholarship parallel characteristics of low-income students who…
Descriptors: Predictor Variables, Middle School Students, College Preparation, Mixed Methods Research
Torres, D. Diego – Houston Independent School District, 2018
Achieve3000®, a web-based differentiated reading program based on the Lexile® Framework and designed to improve student reading ability and comprehension of increasingly complex texts, was made available to approximately 100,000 secondary students across 98 HISD schools during the 2017-2018 academic year. The present evaluation, using a select…
Descriptors: Reading Achievement, Reading Programs, Reading Instruction, Middle School Students
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DiBenedetto, Catherine A.; Easterly, R. G., III; Myers, Brian E. – Journal of Agricultural Education, 2015
Demands placed on teachers and students continue to increase in order to develop the skills required of the 21st century workforce. There continues to be a need to utilize curriculum and instruction to inspire students to engage in STEM majors and careers. Improving instructional methods and providing opportunities for students to question and…
Descriptors: Science Process Skills, Abstract Reasoning, Scores, Predictor Variables
Goldhaber, Dan; Cowan, James; Long, Mark; Huntington-Klein, Nick – Center for Education Data & Research, 2015
Students are typically given a large amount of freedom to choose the level of "curricular dispersion": the tight focus or lack thereof in the courses they elect to take while in college. There is little evidence about what predicts students' curricular dispersion, whether it affects later college or labor force outcomes, or, in fact, how…
Descriptors: Course Selection (Students), College Students, Predictor Variables, Correlation
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Rodenbusch, Stacia E.; Hernandez, Paul R.; Simmons, Sarah L.; Dolan, Erin L. – CBE - Life Sciences Education, 2016
National efforts to transform undergraduate biology education call for research experiences to be an integral component of learning for all students. Course-based undergraduate research experiences, or CUREs, have been championed for engaging students in research at a scale that is not possible through apprenticeships in faculty research…
Descriptors: Graduation Rate, Biology, Undergraduate Students, STEM Education
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Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
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Wood, Laura; Kiperman, Sarah; Esch, Rachel C.; Leroux, Audrey J.; Truscott, Stephen D. – School Psychology Quarterly, 2017
High school dropout has been associated with negative outcomes, including increased rates of unemployment, incarceration, and mortality. Dropout rates vary significantly depending on individual and environmental factors. The purpose of our study was to use an ecological perspective to concurrently explore student- and school-level predictors…
Descriptors: High School Students, Predictor Variables, Dropouts, Potential Dropouts
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Köseoglu, Pinar; Köksal, Mustafa Serdar – EURASIA Journal of Mathematics, Science & Technology Education, 2015
The purpose of this study was to investigate epistemological predictors of nature of science understandings of 281 prospective biology teachers surveyed using the Epistemological Beliefs Scale Regarding Science and the Nature of Science Scale. The findings on multiple linear regression showed that understandings about definition of science and…
Descriptors: Predictor Variables, Scientific Principles, Science Teachers, Biology
Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
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Dougherty, Shaun M.; Goodman, Joshua; Hill, Darryl; Litke, Erica; Page, Lindsay – Society for Research on Educational Effectiveness, 2014
The Wake County Public School System (WCPSS) in North Carolina recently addressed the issue of advancement in and equitable access to advanced mathematics. Under a recent policy, WCPSS uses a SAS-generated predicted probabilities of students' success in obtaining a passing score on the NC Algebra I End-of-Course (EOC) exam, to determine…
Descriptors: Algebra, Secondary School Mathematics, Middle School Students, Acceleration (Education)
Ruth, Taylor K.; Rumble, Joy N.; Gay, Keegan D.; Rodriguez, Mary T. – Journal of Agricultural Education, 2016
Even though science says genetically modified (GM) foods are safe, many consumers remain skeptical of the technology. Additionally, the scientific community has trouble communicating to the public, causing consumers to make uninformed decisions. The Millennial Generation will have more buying power than any other generation before them, and more…
Descriptors: Agricultural Education, Student Attitudes, Food, Genetics
Oates, Krystle S. – ProQuest LLC, 2015
College decisions are often the result of a variety of influences related to student background characteristics, academic characteristics, college preferences and college aspirations. College counselors recommend that students choose a variety of schools, especially schools where the general student body matches the academic achievement of…
Descriptors: High School Students, College Bound Students, College Choice, Decision Making
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Kelcey, Ben – Multivariate Behavioral Research, 2011
This study examined the practical problem of covariate selection in propensity scores (PSs) given a predetermined set of covariates. Because the bias reduction capacity of a confounding covariate is proportional to the concurrent relationships it has with the outcome and treatment, particular focus is set on how we might approximate…
Descriptors: Probability, Scores, Predictor Variables, Selection
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Keller, Robert R.; Lacy, Michael G. – Journal of the National Collegiate Honors Council, 2013
Honors directors and deans know or presume that retention and graduation rates of honors students substantially exceed those of non-honors students. In our research, we have attempted to better determine what portion of this success is attributable to the academic and other benefits of honors programs as opposed to the background characteristics…
Descriptors: Honors Curriculum, Probability, Correlation, Graduation Rate
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