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Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Washington State School Directors' Association (NJ1), 2008
This guide is designed to inform school directors about the value of a data dashboard and to provide information on how districts can create a data dashboard for school directors. A data dashboard is a tool for viewing and analyzing student achievement and performance data. Key data for monitoring student achievement and directing policy level…
Descriptors: Educational Improvement, Academic Achievement, Charts, School Effectiveness

Lilley, Stephen – 1982
This publication provides program planners and others with information and analytical tools for using demographic data in program planning, implementation, and evaluation. The report reviews the importance of demographic data and their relevance to programs and proper implementation of laws, discusses the collection of demographic information by…
Descriptors: Data Collection, Data Interpretation, Demography, Information Utilization

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

Theall, Michael; Franklin, Jennifer – New Directions for Teaching and Learning, 1991
For student rating data to be useful in improving college teaching, consultants and faculty need to know how different evaluative purposes effect evaluation results, and they must be able to interpret and use the data at hand. A series of steps should be followed to help ensure valid data interpretation. (MSE)
Descriptors: College Instruction, Data Interpretation, Faculty Evaluation, Feedback
Daval, Nicola, Ed. – 1986
Program presentations on issues related to the use of statistics by research libraries and business meeting minutes are combined in this report from the Association of Research Libraries (ARL). The full text is provided for the three papers on the program theme that were presented at the meeting: (1) "Information to Manage--The Economics of…
Descriptors: Academic Libraries, Conferences, Data Collection, Data Interpretation
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
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation