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Bocala, Candice; Henry, Susan F.; Mundry, Susan; Morgan, Claire – Regional Educational Laboratory Northeast & Islands, 2014
The "Practitioner Data Use in Schools: Workshop Toolkit" is designed to help practitioners systematically and accurately use data to inform their teaching practice. The toolkit includes an agenda, slide deck, participant workbook, and facilitator's guide and covers the following topics: developing data literacy, engaging in a cycle of…
Descriptors: Workshops, Teaching Methods, Literacy, Data Analysis
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
Mercier Smith, Jean L.; Fien, Hank; Basaraba, Deni; Travers, Patricia – TEACHING Exceptional Children, 2009
This article describes a data-based continuous-improvement framework that can help school teams use what the authors call "systems-level data" to support teachers in achieving successful beginning reading outcomes for all students. The authors also furnish an example of an elementary school in the Pacific Northwest that uses such a…
Descriptors: Student Evaluation, Beginning Reading, Data Analysis, Literacy
Strayhorn, Terrell L. – NASPA Journal, 2008
Drawing on Sanford's notions of challenge and support, coupled with Tinto's theory on retention, this quantitative investigation sought to measure the association between supportive relationships and success in college for a sample of Black men. Results suggest that supportive relationships are associated with higher levels of satisfaction but not…
Descriptors: Academic Achievement, African Americans, Males, Surveys
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
North Carolina State Dept. of Public Instruction, Raleigh. – 1999
This training guides is designed to teach educators how to use data for school improvement. There is an emphasis on student achievement data, because achievement is the "bottom line" in assessing schools and school systems, but other types of data necessary to measure school quality are also considered. The chapters are: (1)…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Improvement
Ross, Randy – American School Board Journal, 2002
Longitudinal data about individual students and groups of students can be used to track their progress in ways that hold district-level administrators, school principals, and teachers responsible for what's happening in schools. The key is to examine data that show how well individual students perform in specific classrooms in specific schools.…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection

Snyder, Eldon E.; Spreitzer, Elmer – Sociology of Education, 1977
An analysis of the relationship between extracurricular participation and educational expectations among high school girls. Correlations are found between athletic participation or involvement in music and academic orientation. Findings also reveal differences according to the type of interscholastic sport in which girls participate. (Author)
Descriptors: Academic Achievement, Athletics, Correlation, Data Analysis
Armstrong, Jane; Anthes, Katy – American School Board Journal, 2001
The Education Commission of the States conducted interviews in six school districts in five different states (California, Colorado, Iowa, Maryland, and Texas) to understand how districts can use data most effectively. These districts had used data to dramatically improve student achievement. Districts that make wise use of data have strong…
Descriptors: Academic Achievement, Data Analysis, Data Interpretation, Databases
Wong, Ovid K.; Lam, Ming-Long – Rowman & Littlefield Education, 2006
Education reforms such as "A Nation at Risk" and "Goals 2000" have come and gone. However, educators can be confident that the goal of student improvement shall not pass if the core mission is student learning. The true mission of learning has prompted educators to ponder the following questions: (1) How should each student to…
Descriptors: Student Improvement, Student Behavior, School Policy, School Activities
Lewis, Jack L. – 1986
This paper reports on a study conducted to determine the extent to which failing secondary school students can be identified in advance through analysis of student records. The research, conducted in an urban school district, utilized data such as achievement test results, school attendance, and course grades, as well as a survey of sample…
Descriptors: Academic Achievement, Academic Failure, Data Analysis, Discriminant Analysis
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the high school mathematics program in Hawaii, including identification of deficiency areas. The Stanford Achievement Test of Academic Skills (TASK) Level 1 was administered to 10,154 tenth-grade students in October 1983. In general, the students did not perform as well as the…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Error Patterns
Program Analysis of Grade 2 Stanford Achievement Test, Primary Level II. Spring 1984 Administration.
Hawaii State Dept. of Education, Honolulu. Office of Instructional Services. – 1985
This report was designed to provide information on the effectiveness of the mathematics instructional program in grade 2 in Hawaii, including identification of deficiency areas. The Stanford Achievement Test, Primary Level II, was administered in May 1984 to 12,106 students in grade 2. In general, these students performed better than the national…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Elementary School Mathematics
American Association of School Administrators, Arlington, VA. – 2002
School system leaders are discovering the power of data for promoting school improvement. This guide provides practitioners, parents, and community with insights and tools for cultivating a districtwide culture of data-driven inquiry. Chapter 1 points out that data provide quantifiable proof, taking the emotion and rancor out of the…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection