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No Child Left Behind Act 20011
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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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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Schoen, Robert C.; LaVenia, Mark; Tazaz, Amanda M.; Farina, Kristy; Dixon, Juli K.; Secada, Walter G. – Grantee Submission, 2020
Using a cluster-randomized controlled trial research design, this study investigates the effect of the first year of a three-year teacher professional development program on grades 1 and 2 student achievement in mathematics. Although the findings reported in the present report do not meet the standard cutoff for statistical significance (e.g., 95%…
Descriptors: Elementary School Students, Grade 1, Grade 2, Mathematics Achievement
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Shamir, Haya – Journal of Educational Multimedia and Hypermedia, 2018
Assessing students' emerging literacy skills is crucial for identifying areas where a child may be falling behind and can lead directly to an increased chance of reading success. The Waterford Assessment of Core Skills (WACS), a computerized adaptive test of early literacy for students in prekindergarten through 2nd grade, addresses this need.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Reading Tests, Preschool Children
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Petscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading
Schoen, Robert C.; LaVenia, Mark; Bauduin, Charity; Farina, Kristy – Grantee Submission, 2016
This report provides a description of the development process, field testing, and psychometric properties of a student mathematics test designed to assess grades 1 and 2 student abilities. The test was administered to 2,373 participating grade 1 and 2 students in 22 schools located in 2 public school districts in Florida during fall 2013. Focused…
Descriptors: Elementary School Mathematics, Grade 1, Grade 2, Elementary School Students
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Wanzek, Jeanne; Al Otaiba, Stephanie; Petscher, Yaacov – Exceptional Children, 2014
This study used a large statewide database to examine the oral reading fluency development of second- and third-grade students with emotional disturbance or learning disabilities and their general education peers. Oral reading fluency measures were administered to 185,367 students without disabilities (general education), 2,146 students identified…
Descriptors: Reading Fluency, Oral Reading, Reading Skills, Emotional Disturbances
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Thompson, Carla J. – Journal of Educational Research and Practice, 2012
Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…
Descriptors: Early Intervention, Reading Instruction, Reading Programs, Data Collection
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Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis
Kirkland, Troyanne – ProQuest LLC, 2009
The "No Child Left Behind" (NCLB) Act of 2001, Public Law 107-110 (U.S. Congress), was passed by Congress in response to perceived failure of the public school system to effectively educate students, particularly disadvantaged students in the United States. The relationship of NCLB school choice to student achievement has not been…
Descriptors: Federal Legislation, School Choice, Achievement Gains, Educational Legislation
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Winsler, Adam; Gupta Karkhanis, Deepti; Kim, Yoon Kyong; Levitt, Jerome – Urban Review: Issues and Ideas in Public Education, 2013
Although it is well established that Black male students are underrepresented in gifted educational programs in the United States, due to a scarcity of longitudinal prospective research, little is known about the protective factors at the child, family, and school level that increase the probability of Black male students being identified as…
Descriptors: African American Students, Males, Disproportionate Representation, Academically Gifted
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Foorman, Barbara R.; Petscher, Yaacov; Lefsky, Evan B.; Toste, Jessica R. – Journal of Literacy Research, 2010
Five years of reading comprehension data in Florida Reading First schools were analyzed to address questions regarding student improvement, reduction in the achievement gap, efficacy of site visits to schools making no achievement gains, and effects of student mobility on growth in reading comprehension. Participants were 120,000 students (about…
Descriptors: Reading Comprehension, Learning Disabilities, Achievement Gains, Economically Disadvantaged