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Regional Educational Laboratory Pacific, 2021
This Study Snapshot highlights key findings from a study that examined which student demographic and academic preparation characteristics predict passing the Praxis® Core test and each of its subtests at the Unibetsedåt Guåhan (University of Guam, UOG) School of Education. This information is needed to increase admissions to the School of…
Descriptors: Preservice Teachers, Preservice Teacher Education, College Admission, Admission Criteria
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Balch, Ryan; Koedel, Cory – Education Policy Analysis Archives, 2014
State and local education agencies across the United States are increasingly adopting rigorous teacher evaluation systems. Most systems formally incorporate teacher performance as measured by student test-score growth, sometimes by state mandate. An important consideration that will influence the long-term persistence and efficacy of these systems…
Descriptors: Teacher Evaluation, Stakeholders, Teacher Attitudes, Observation
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Phillips, D. C. – Educational Researcher, 2014
The author of this commentary argues that physical scientists are attempting to advance knowledge in the so-called hard sciences, whereas education researchers are laboring to increase knowledge and understanding in an "extremely hard" but softer domain. Drawing on the work of Popper and Dewey, this commentary highlights the relative…
Descriptors: Researchers, Scientific Research, Educational Research, Prediction
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Hitchcock, John H.; Horner, Robert H.; Kratochwill, Thomas R.; Levin, Joel R.; Odom, Samuel L.; Rindskopf, David M.; Shadish, William R. – Remedial and Special Education, 2014
In this article, we respond to Wolery's critique of the What Works Clearinghouse (WWC) pilot "Standards," which were developed by the current authors. We do so to provide additional information and clarify some points previously summarized in this journal. We also respond to several concerns raised by Maggin, Briesch, and Chafouleas…
Descriptors: Research Design, Standards, Evidence, Clearinghouses
Warne, Russell T. – Gifted Child Quarterly, 2016
Human intelligence (also called general intelligence, "g," or Spearman's "g") is a highly useful psychological construct. Yet, since the middle of the 20th century, gifted education researchers have been reluctant to discuss human intelligence. The purpose of this article is to persuade gifted education researchers and…
Descriptors: Academically Gifted, Intelligence, Educational Research, Theories
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Langston, Randall; Wyant, Robert; Scheid, Jamie – Strategic Enrollment Management Quarterly, 2016
Both an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative.…
Descriptors: Enrollment Management, Strategic Planning, Statistical Data, Predictor Variables
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Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
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Doan, Stacey N.; Evans, Gary W. – Future of Children, 2020
Many children, especially those from lower-income families, face considerable instability early in their lives. This may include changes in family structure, irregular family routines, frequent moves, fluctuating daycare arrangements, and noisy, crowded, or generally chaotic environments. Moreover, instability and chaos affect young children's…
Descriptors: At Risk Persons, Young Children, Environmental Influences, Child Development
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Sternberg, Robert J. – Creativity Research Journal, 2015
Universities, like students, differ in their ability to learn and to recreate themselves. In this article, I present a 3-part model of institutional creative change for assessing universities as learning organizations that can move creatively into the future. The first part, prerequisites, deals with actual ability to change creatively and belief…
Descriptors: Universities, Higher Education, Creativity, Models
Schmitt, Lisa N. T.; Cornetto, Karen M. – Online Submission, 2015
This executive summary highlights findings from the full report (published separately), describing how many teachers transferred or changed jobs in AISD, remained at their schools, or left the school district after the 2013-2014 school year, along with characteristics of teachers in each group. A separate research brief also was published. [For…
Descriptors: School Districts, Faculty Mobility, Teacher Transfer, Teacher Persistence
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Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
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Beck, Leesa; Wright, Alexis – College and University, 2019
The oldest Millennials are now well-established in their careers, requesting flex schedules so they can take their kids to soccer practice in the afternoons; they have little in common with the typical 18- to 22-year-old undergraduate in many college classrooms. For faculty at campuses serving primarily traditional students, it seems like a good…
Descriptors: Undergraduate Students, Age Groups, Student Characteristics, Cohort Analysis
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Robertson, Bill – Science and Children, 2014
At first glance it seems easy to attribute cause and effect when it's not applicable, either through mistakenly taking every correlation as a cause and effect relationship, misinterpreting the meaning of independent and dependent variables, or not focusing on direct causes. Sometimes it's easy to help students understand where…
Descriptors: Science Instruction, Elementary School Science, Scientific Concepts, Correlation
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Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
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Farnsworth, David L. – Teaching Statistics: An International Journal for Teachers, 2015
This article describes a bivariate data set that is interesting to students. Indeed, this particular data set, which involves twins and IQ, has sparked more student interest than any other set that I have presented. Specific uses of the data set are presented.
Descriptors: Statistics, Mathematics Instruction, Twins, Intelligence Quotient
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