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Kelcey, Ben; Carlisle, Joanne F. – Reading Research Quarterly, 2013
The purpose of this study is to contribute to efforts to improve methods for gathering and analyzing data from classroom observations in early literacy. The methodological approach addresses current problems of reliability and validity of classroom observations by taking into account differences in teachers' uses of instructional actions (e.g.,…
Descriptors: Data Collection, Data Analysis, Emergent Literacy, Reliability
Houston Independent School District, 2015
The Title I, Part A program is designed to ensure that all children have a fair, equal, and significant opportunity to obtain a high-quality education and achieve, at a minimum, proficiency on challenging state academic achievement standards and assessments. The program's goal is accomplished by providing supplemental funding for educational…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Achievement Tests
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McCoach, D. Betsy; Gubbins, E. Jean; Foreman, Jennifer; Rambo, Karen E.; Rubenstein, Lisa DaVia – Society for Research on Educational Effectiveness, 2013
Although research on the effectiveness of differentiated and enriched instruction in improving the achievement of diverse students is still emerging, some studies suggest that students in academically diverse classrooms benefited academically from differentiated learning experiences. The primary research question explored in this study was…
Descriptors: Program Effectiveness, Mathematics Curriculum, Mathematics Instruction, Elementary School Mathematics
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Tong, Ye; Kolen, Michael J. – Educational Measurement: Issues and Practice, 2010
"Scaling" is the process of constructing a score scale that associates numbers or other ordered indicators with the performance of examinees. Scaling typically is conducted to aid users in interpreting test results. This module describes different types of raw scores and scale scores, illustrates how to incorporate various sources of…
Descriptors: Test Results, Scaling, Measures (Individuals), Raw Scores
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Banks, Kathleen – Educational Assessment, 2009
The purpose of this article is to describe and demonstrate a three-step process of using differential distractor functioning (DDF) in a post hoc analysis to understand sources of differential item functioning (DIF) in multiple-choice testing. The process is demonstrated on two multiple-choice tests that used complex alternatives (e.g., "No…
Descriptors: Test Bias, Multiple Choice Tests, Testing, Gender Differences
Center on Education Policy, 2009
This general achievement trends profile includes information that the Center on Education Policy (CEP) and the Human Resources Research Organization (HumRRO) obtained from states from fall 2008 through April 2009. Included herein are: (1) Bullet points summarizing key findings about achievement trends in that state at three performance…
Descriptors: Academic Achievement, Profiles, Educational Trends, Elementary School Students
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Howe, Quincy – Educational Horizons, 2006
In this article, the author relates how a math-assessment software has allowed his school to track the academic progress of its students. The author relates that in the first year that the software was deployed, schoolwide averages in terms of national standing on the math ITBS rose from the 42nd to 59th percentile. In addition, a significant…
Descriptors: Computer Software, Standardized Tests, Academic Achievement, Mathematics Achievement
Wade, Patricia A.; Schuh, Kathy L. – Online Submission, 2006
This two-year study explored the academic lives of three boys in a combined fifth-sixth grade classroom. As these case studies illustrate, viewing students' academic worlds from multiple perspectives can lead to more accurate, comprehensive evaluations and efficacious adaptations of students' learning environments. Richard Snow's aptitude theory…
Descriptors: Data Analysis, Aptitude, Academic Achievement, Cognitive Style
Iowa Department of Education, 2011
The Annual Condition of Education Report provides a wide range of state-level data, including shifts in student populations and demographics, teacher salaries and characteristics, student achievement results, and school financial information. A few examples of the categories presented in this 22nd edition report include: (1) Enrollment; (2) Early…
Descriptors: Educational Assessment, Educational Indicators, Annual Reports, State Surveys