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Showing 1 to 15 of 18 results Save | Export
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Buczak, Philip; Huang, He; Forthmann, Boris; Doebler, Philipp – Journal of Creative Behavior, 2023
Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter-rater-variance). Second, individual raters are prone to inconsistent scoring patterns…
Descriptors: Computer Assisted Testing, Scoring, Automation, Creative Thinking
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
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Barnali Mazumdar; Nora De la Mora; Teresa Roberts; Alexander Swiderski; Maria Kapantzoglou; Gerasimos Fergadiotis – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Anomia, or word-finding difficulty, is a prevalent and persistent feature of aphasia, a neurogenic language disorder affecting millions of people in the United States. Anomia assessments are essential for measuring performance and monitoring outcomes in clinical settings. This study aims to evaluate the reliability of response time (RT)…
Descriptors: Pictorial Stimuli, Naming, Aphasia, Reaction Time
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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Choi, Seung W.; Grady, Matthew W.; Dodd, Barbara G. – Educational and Psychological Measurement, 2011
The goal of the current study was to introduce a new stopping rule for computerized adaptive testing (CAT). The predicted standard error reduction (PSER) stopping rule uses the predictive posterior variance to determine the reduction in standard error that would result from the administration of additional items. The performance of the PSER was…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Evaluation Methods
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Yang, Yan; Taylor, Jeff – Educational Research and Evaluation, 2013
The purpose of this study was to examine the role of achievement goals in online test anxiety and help-seeking while controlling for self-efficacy and potential demographic differences. A total of 150 online students participated in the survey. Separate hierarchical regression analysis results suggested the differential roles of achievement goals…
Descriptors: Test Anxiety, Goal Orientation, Help Seeking, Online Courses
Sims, Betty – ProQuest LLC, 2012
Standardized testing and assessment packages have been implemented by nursing program directors to predict and improve pass rates on the National Council Licensure Examination (NCLEX). The methods of implementation vary from program to program, and as a result, the outcomes in the programs vary. The purpose of this quantitative study was to…
Descriptors: Nurses, Licensing Examinations (Professions), Computer Assisted Testing, Predictor Variables
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Rulison, Kelly L.; Loken, Eric – Applied Psychological Measurement, 2009
A difficult result to interpret in Computerized Adaptive Tests (CATs) occurs when an ability estimate initially drops and then ascends continuously until the test ends, suggesting that the true ability may be higher than implied by the final estimate. This study explains why this asymmetry occurs and shows that early mistakes by high-ability…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Academic Ability
Vossler, Victoria L. – ProQuest LLC, 2010
The attrition of special education teachers greatly affects the quality of special education services districts can provide for students with disabilities and creates an ongoing challenge for educational leaders. It is essential to understand the factors influencing special education teachers' decisions to leave or remain in the field. If…
Descriptors: Teacher Persistence, Special Education Teachers, Special Education, Field Tests
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VanDerheyden, Amanda M.; Burns, Matthew K. – Journal of Behavioral Education, 2009
Brief experimental analysis (BEA) can be used to specify intervention characteristics that produce positive learning gains for individual students. A key challenge to the use of BEA for intervention planning is the identification of performance indicators (including topography of the skill, measurement characteristics, and decision criteria) that…
Descriptors: Intervention, Curriculum Based Assessment, Mathematics Skills, Educational Indicators
Jamgochian, Elisa; Park, Bitnara Jasmine; Nese, Joseph F. T.; Lai, Cheng-Fei; Saez, Leilani; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we provide reliability and validity evidence for the easyCBM[R] Reading measures for grade 2 (word and passage reading fluency and multiple choice reading comprehension). Evidence for reliability includes internal consistency and item invariance. Evidence for validity includes concurrent, predictive, and construct…
Descriptors: Grade 2, Reading Comprehension, Testing Programs, Reading Fluency
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Gavazzi, Stephen M.; Russell, Christiana M.; Khurana, Atika – Negro Educational Review, 2009
Disproportionately large numbers of Black youth experience repeated encounters with the juvenile justice system, and often these same youth present with a variety of school-related difficulties. Data from a sample of 842 Black males, assessed in five Ohio juvenile courts using the Global Risk Assessment Device (GRAD), are used to describe the…
Descriptors: African American Children, Learning Problems, Student Behavior, Academic Achievement
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Wildy, Helen; Styles, Irene – Australian Journal of Early Childhood, 2008
This paper reports analysis of 2006-2007 on-entry assessment data from the Performance Indicators in Primary Schools Baseline Assessment (PIPS-BLA) of random samples of students in England, Scotland, New Zealand and Australia. The analysis aimed, first, to investigate the validity and reliability of that instrument across countries and sexes, and,…
Descriptors: National Competency Tests, Foreign Countries, Student Evaluation, Comparative Education
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