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Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron – International Journal of Research & Method in Education, 2017
While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…
Descriptors: Statistical Inference, Statistics, Data, Information Utilization
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Means, Barbara; Chen, Eva; DeBarger, Angela; Padilla, Christine – Office of Planning, Evaluation and Policy Development, US Department of Education, 2011
The national Study of Education Data Systems and Decision Making documented the availability and features of education data systems and the prevalence and nature of data-informed decision making in districts and schools. That study, like past research, found that teachers' likelihood of using data in decision making is affected by how confident…
Descriptors: Elementary Schools, Elementary School Teachers, Middle Schools, Middle School Teachers
Carey, Kevin – Education Sector, 2012
For years California has been a leader in public education. In 1999, the state implemented some of the strongest content standards in the country through its main accountability metric, the Academic Performance Index (API). The state has also signed onto the Common Core State Standards, taking important steps to ensure its students are college-…
Descriptors: State Standards, Standardized Tests, Academic Achievement, Educational Quality
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Henige, David – Journal of Academic Librarianship, 1987
This discussion focuses on the problems involved in the interpretation and verification of the data gathered and presented by the North American Collections Inventory Project. It suggests that the National Shelflist Count is a better resource for collection management and shared library resources decisions. (CLB)
Descriptors: Citation Analysis, Data Interpretation, Evaluation Criteria, Evaluation Problems
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Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
Mooney, Marianne; Phelps, L. Allen; Anctil, Tina M. – 2002
This paper reports on an ongoing 5-year study on practices and policies that improve postschool outcomes for students with disabilities in significantly restructured high schools. Four high schools with strong internal accountability measures are subjects of an intensive longitudinal study. The schools are in both urban and smaller communities in…
Descriptors: Accountability, Data Collection, Data Interpretation, Disabilities
Shellard, Elizabeth – 2002
in this era of standards, high-stakes testing, and accountability, school leaders need to know how they can increase the achievement of their students. Researchers have found that high-achieving schools show common, key factors, including challenging learning experiences for all students, a principal who fulfills his/her role as the instructional…
Descriptors: Academic Achievement, Accountability, Administrator Role, Data Analysis
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Wainer, Howard – Journal of Educational and Behavioral Statistics, 1997
Four guidelines that make tables more effective data displays are presented. The need for these guidelines and their application are illustrated with data from the National Assessment of Educational Progress (NAEP). A theoretical structure is presented to help develop test items to assess students' proficiency in extracting information from…
Descriptors: Comprehension, Data Interpretation, Elementary Secondary Education, Information Dissemination
Danzig, Arnold B. – 1990
The usefulness of state-by-state comparisons and other educational indicators is discussed in this paper, which seeks to improve report writing and data presentation skills. The first part offers an example of a policy report that uses key education indicators to describe the Arizona education system. Tables and data interpretation describe the…
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Educational Indicators
Sirotnik, Kenneth A.; And Others – 1985
This paper presents a study of the contrast of social and clinical perspectives on the selection and use of information by school staff, including: (1) an outline of the context and activities of the study; (2) a definition and discussion of the basic distinction between social and clinical perspectives; (3) an examination of case material…
Descriptors: Academic Achievement, Computer Oriented Programs, Data Interpretation, Databases
Eckels, Elaine; Vorek, Robert – 1988
The Migrant Student Record Transfer System (MSRTS) is a nationwide computer-based communications network originally designed to transfer the health and educational records of migrant workers' children. This report assesses MSRTS data from September 1984 through June 1986 to determine the potential utility of such data for national studies of the…
Descriptors: Achievement Rating, Achievement Tests, Data Interpretation, Databases
Gutmann, Babette; And Others – 1988
This report examines federal, state, and local databases containing information on migrant workers and their children, identifies their common characteristics, and assesses their potential utility to inform educational policy analysis. General criteria used to evaluate each database's strengths and weaknesses include standardization, reliability,…
Descriptors: Data Interpretation, Databases, Elementary Secondary Education, Evaluation
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Eisenberg, Michael B.; Spitzer, Kathleen L. – Catholic Library World, 1991
Addresses the implications for education of the expansion of information technology and proposes a model for teaching information skills within the context of an overall process. A model called the "Big Six Skills" is presented, and its application to information problems related to school, life, and work are explained. (10 references)…
Descriptors: Course Integrated Library Instruction, Data Interpretation, Elementary Secondary Education, Information Literacy