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Eric.ed.gov – Mapping Mississippi’s Educational Progress, 2008

eric.ed.gov har udgivet: Six years after passage of No Child Left Behind and midway to the nation’s goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and trends for Mississippi as a state and as compared to national statistics. Information on graduation rates, tutoring/choice programs and flexibility options is also included. Link til kilde

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Eric.ed.gov – The Role of Classroom Quality in Explaining Head Start Impacts

eric.ed.gov har udgivet: This study seeks to answer the following question: Are impacts on Head Start classroom quality associated with impacts of Head Start on children’s learning and development? This study employs a variety of descriptive and quasi-experimental methods to explore the role of classroom quality as a mediator or mechanism of Head Start impacts. This research uses data from the Head Start Impact Study (HSIS) and includes 4,440 3- and 4-year-old children who were randomly assigned off a waitlist to either receive an invitation to participate in Head Start services or to the control group. Children initially applied to 351 Head Start programs across 81 Head Start grantees. A total of 2,644 children were randomized to receive Head Start services and 1,796 were randomized to the control group. Following… Continue Reading

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Eric.ed.gov – Mapping Alaska’s Educational Progress, 2008

eric.ed.gov har udgivet: Six years after passage of No Child Left Behind and midway to the nation’s goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and trends for Alaska as a state and as compared to national statistics. Information on graduation rates, tutoring/choice programs and flexibility options is also included. Link til kilde

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Eric.ed.gov – Mapping Virginia’s Educational Progress, 2008

eric.ed.gov har udgivet: Six years after passage of No Child Left Behind and midway to the nation’s goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and trends for Virginia as a state and as compared to national statistics. Information on graduation rates, tutoring/choice programs and flexibility options is also included. Link til kilde

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Eric.ed.gov – Mapping Pennsylvania’s Educational Progress, 2008

eric.ed.gov har udgivet: Six years after passage of No Child Left Behind and midway to the nation’s goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and trends for Pennsylvania as a state and as compared to national statistics. Information on graduation rates, tutoring/choice programs and flexibility options is also included. Link til kilde

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Eric.ed.gov – Mapping West Virginia’s Educational Progress, 2008

eric.ed.gov har udgivet: Six years after passage of No Child Left Behind and midway to the nation’s goal of having students on grade level or better in reading and math by 2014, more data than ever before has been collected about the academic performance of American students and schools. Information in this brochure charts student demographics, achievement-to-date and trends for West Virginia as a state and as compared to national statistics. Information on graduation rates, tutoring/choice programs and flexibility options is also included. Link til kilde

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Eric.ed.gov – The Development of Mathematical Self-Concept during College: Unique Benefits for Women in Math-Intensive Majors? ASHE Annual Meeting Paper.

eric.ed.gov har udgivet: While previous research has outlined factors that can be used to predict academic self-concept among college students, much of this research pays little attention to how self-concept develops differently for unique subgroups of students. This paper examines the development of mathematical self-concept during college for four groups of students who entered college with significantly different levels of math confidence: (1) men in math-intensive majors; (2) women in math-intensive majors; (3) men in non-math-intensive majors; and (4) women in non-math-intensive majors. Data are examined from surveys of over 14,000 college freshmen at 191 institutions who were followed up 4 years after college entry. Regression analyses describe how the factors contributing to the development of math self-concept differentiate among the four groups and suggest how women who persist in… Continue Reading

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Eric.ed.gov – Bayesian Unimodal Density Regression for Causal Inference

eric.ed.gov har udgivet: Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other, outperformed, regression models include random-effects/hierarchical linear and generalized linear models, when the random effects were assumed to be normally-distributed (Laird & Ware, 1982; Breslow & Clayton 1993), and when the random effects were more generally modeled by a nonparametric, Dirichlet process (DP) mixture prior (Kleinman & Ibrahim, 1998a,1998b). The authors argue that the new Bayesian nonparametric (BNP) regression model provides a novel, richer, and more valid approach to causal inference, which allows the researcher to investigate how treatments causally… Continue Reading

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Eric.ed.gov – Academic Achievement and School-Wide Positive Behavior Interventions and Supports

eric.ed.gov har udgivet: Turning around chronically low-performing schools requires a multifaceted school-wide, systematic effort that includes strong leadership and data-based decision making. School-wide efforts to turn-around low-performing schools should address the academic, social, and behavioral needs of all students. One evidence-based, systematic school-wide approach for addressing social and behavioral concerns in schools and, distally, increasing students’ access to academic instruction, is school-wide positive behavior interventions and supports (SWPBIS). SWPBIS is associated with increased positive school climate, increased teacher self-efficacy, decreased problem behaviors for the whole school, and potentially, increased academic achievement. The underlying assumption is that by improving social behavior, schools have more time and ability to deliver effective curriculum and instruction. However, to-date, this assumption has not been fully investigated. The goal of this paper is to explicitly examine… Continue Reading

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Eric.ed.gov – Investigations of Stability in Junior High School Math and English Classes: The Texas Junior High School Study. Research and Development Report No. 77-3.

eric.ed.gov har udgivet: The stability of classroom behavior is examined from several perspectives: (1) the relative consistency of teacher behavior in two different sections of the same course taught concurrently; (2) the relative consistency of student behavior in math and English classes attended concurrently; and (3) differences in student and teacher behavior in math vs. English classes (to determine the effects of subject matter on teacher and student behavior). In general, stability coefficients obtained here were much higher than those expected on the basis of earlier research on stability in courses taught successively rather than concurrently. Even so, high inference ratings were more stable than low inference counts of discrete behaviors, and many behaviors did not occur often enough to allow stable measurement, despite intensive observation. The data are discussed… Continue Reading