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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

Carter, Greg Lee – Teaching Sociology, 1989
Presents a classroom technique for demonstrating the post-factum interpretation problem. Describes the various ways that students interpreted data concerning the percentage of men and women in traditionally female occupations. Discusses the various uses of this technique in both introductory and research classes. (KO)
Descriptors: Classroom Techniques, Data Interpretation, Information Utilization, Learning Strategies

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
Bureau of the Census (DOC), Suitland, MD. – 1987
This publication contains four lesson plans to assist teachers in instructing their students about the census of agriculture and its uses. Designed primarily for vocational agricultural classes, the lesson plans may also have applications in math, social studies, and journalism or writing classes. Teachers do not need specialized knowledge about…
Descriptors: Agricultural Education, Census Figures, Data Interpretation, Information Utilization
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
Hiroto, Nagato – 1997
Designed for language teachers who find reading statistical research difficult but necessary, this article focuses on the minimal knowledge needed about statistical techniques for interpreting research findings. It first examines the statistical reasoning underlying quantitative, empirical studies, including normal distribution, standard…
Descriptors: Classroom Research, Classroom Techniques, Comparative Analysis, Data Interpretation