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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
Sriram, Rishi – NASPA - Student Affairs Administrators in Higher Education, 2014
When student affairs professionals assess their work, they often employ some type of survey. The use of surveys stems from a desire to objectively measure outcomes, a demand from someone else (e.g., supervisor, accreditation committee) for data, or the feeling that numbers can provide an aura of competence. Although surveys are effective tools for…
Descriptors: Surveys, Test Construction, Student Personnel Services, Test Use
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
Bracey, Gerald W. – Education Digest: Essential Readings Condensed for Quick Review, 2006
It is curious that so many people are accepting of statistics despite Disraeli's famous aphorism concerning "three kinds of lies." This acceptance certainly seems to hold for education statistics, especially when they imply something negative about American public schools. Sometimes people accept statistics because they are not in a position to…
Descriptors: Data Interpretation, Statistics, Correlation, Rhetoric
McGuire, Patricia – Association of Governing Boards of Universities and Colleges, 2007
In this article, the author argues that American higher education is allowing itself to be held hostage by the rankings industry, which can lead institutions to consider actions harmful to the public interest and encourage the public's infatuation with celebrity at the expense of substance. Instead of sitting quietly by during the upcoming ratings…
Descriptors: Institutions, Surveys, Mass Media Effects, Reputation
Earl, Lorna; Katz, Steven – Principal Leadership, 2005
Using data for school reform is like painting a series of pictures--pictures that are subtle and capture the nuances of the subject. This is a far cry from drawing stick figures or paint-by-numbers. Imagine the experiences of the French painter Claude Monet as he wandered through his garden at Giverny at different times of the day and year,…
Descriptors: Data Interpretation, Evaluative Thinking, Inquiry, Information Literacy
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
Clagett, Craig A. – 1990
Guidelines are offered to institutional researchers and planning analysts for presenting research results in formats and levels of sophistication that are accessible to top management. Fundamental principles include: (1) know what is needed; (2) know when the information is needed; (3) match format to analytical sophistication and learning…
Descriptors: Communication (Thought Transfer), Data Interpretation, Higher Education, Information Dissemination
Agosta, John M.; Howard, Anne – 1986
The report describes activities and findings of an 18-month project which surveyed day and other non-residential services provided to persons with mental retardation in the Commonwealth of Massachusetts. An introductory section describes project purposes, followed by a description of project methods (sampling plan, questionnaire development,…
Descriptors: Administrative Principles, Adults, Agency Role, Community Involvement
Starr, Harold – 1987
This guide is intended for local- and state-level vocational education administrators, planners, and evaluators who are responsible for making program planning and evaluation findings and decisions geared toward increasing program relevance. The method differs from more traditional approaches in its heavy reliance upon the selection and…
Descriptors: Computer Oriented Programs, Data Analysis, Data Interpretation, Databases