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Petscher, Yaacov; Koon, Sharon – Assessment for Effective Intervention, 2020
The assessment of screening accuracy and setting of cut points for a universal screener have traditionally been evaluated using logistic regression analysis. This analytic technique has been frequently used to evaluate the trade-offs in correct classification with misidentification of individuals who are at risk of performing poorly on a later…
Descriptors: Screening Tests, Accuracy, Regression (Statistics), Classification
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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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Petscher, Yaacov; Al Otaiba, Stephanie; Wanzek, Jeanne; Rivas, Brenna; Jones, Francesca – Scientific Studies of Reading, 2017
An emerging body of research has evaluated the role of growth mindset in educational achievement, yet little work has focused on the unique role of mindset to standardized reading outcomes. Our study presents 4 key outcomes in a sample of 195 fourth-grade students. First, we evaluated the dimensionality of general and reading-specific mindset and…
Descriptors: Elementary School Students, Grade 4, Reading, Reading Comprehension
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Petscher, Yaacov; Logan, Jessica A. R. – Child Development, 2014
Linear regression analysis is one of the most common techniques applied in developmental research, but only allows for an estimate of the average relations between the predictor(s) and the outcome. This study describes quantile regression, which provides estimates of the relations between the predictor(s) and outcome, but across multiple points of…
Descriptors: Regression (Statistics), Evaluation Methods, Databases, Longitudinal Studies
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Foorman, Barbara R.; Petscher, Yaacov; Stanley, Christopher; Truckenmiller, Adrea – Journal of Research on Educational Effectiveness, 2017
The objective of this study was to determine the latent profiles of reading and language skills that characterized 7,752 students in kindergarten through tenth grade and to relate the profiles to norm-referenced reading outcomes. Reading and language skills were assessed with a computer-adaptive assessment administered in the middle of the year…
Descriptors: Reading Comprehension, Statistical Analysis, Computer Assisted Testing, Adaptive Testing
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Folsom, Jessica Sidler; Petscher, Yaacov; Osborne-Lampkin, La'Tara; Cooley, Stephan; Herrera, Sarah; Partridge, Mark; Smith, Kevin – Regional Educational Laboratory Southeast, 2016
Florida law requires the 100 lowest performing elementary schools in reading to extend the school day by one hour to provide supplemental reading instruction. This study found that those schools were smaller than other elementary schools and served a higher proportion of racial/ethnic minority students and students eligible for the school lunch…
Descriptors: Reading Achievement, Extended School Day, Elementary Schools, Supplementary Education
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Koon, Sharon; Petscher, Yaacov; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…
Descriptors: At Risk Students, Reading Difficulties, Identification, Reading Comprehension
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Hughes, John; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
This report describes the results of a REL Southeast study comparing student success in online credit recovery and general courses taken online compared to traditional face-to-face courses. Credit recovery occurs when a student fails a course and then retakes the same course to earn high school credit. This research question was motivated by the…
Descriptors: Success, Online Courses, Conventional Instruction, High Schools
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Reed, Deborah K.; Petscher, Yaacov; Truckenmiller, Adrea J. – Reading Research Quarterly, 2017
This study explored the relationship between the reading ability and science achievement of students in grades 5, 8, and 9. Reading ability was assessed with four measures: word recognition, vocabulary, syntactic knowledge, and comprehension (23% of all passages were on science topics). Science achievement was assessed with state…
Descriptors: Reading Ability, Science Achievement, Middle School Students, Elementary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
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Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
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Kim, Young-Suk; Petscher, Yaacov; Schatschneider, Christopher; Foorman, Barbara – Journal of Educational Psychology, 2010
In this study, we examined the relationship of growth trajectories of oral reading fluency, vocabulary, phonological awareness, letter-naming fluency, and nonsense word reading fluency from 1st grade to 3rd grade with reading comprehension in 1st, 2nd, and 3rd grades. Data from 12,536 children who were followed from kindergarten to 3rd grade…
Descriptors: Reading Comprehension, Reading Fluency, Academic Achievement, Phonological Awareness