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Datnow, Amanda; Park, Vicki – Educational Leadership, 2015
School leaders are often drowning in data but are unsure which forms of data will help them create a portrait of student achievement that will motivate staff to look beyond simple trends and delve deeper into root causes. Teachers often wish for more guidance on the kinds of data analysis and teaching strategies that will help them move the needle…
Descriptors: Evaluation Utilization, Data, Data Analysis, Data Interpretation
Chenoweth, Karin – Educational Leadership, 2015
The key practices that improve struggling schools, writes Chenoweth--a researcher who's studied successful high-poverty schools and their leaders--aren't a mystery. From both decades of research and the craft knowledge of educators who've jumped in and turned around schools, we know these practices generally yield improvement: (1) a…
Descriptors: Educational Improvement, Best Practices, Effective Schools Research, School Turnaround
Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
Levine, Mel – Educational Leadership, 2007
The author describes four capacities--interpretation, instrumentation, interaction, and inner direction--that are as important as traditional academic subjects in preparing young adults for college and career success. He suggests how high schools should address each of these capacities. For example, to develop students' capacity for inner…
Descriptors: Student Development, Cognitive Development, Behavioral Objectives, Creative Development
Bracey, Gerald W. – Educational Leadership, 2006
Education statistics are rarely neutral; those who collect and analyze them have different purposes. In this article, Bracey discusses several principles of data interpretation to help educators avoid falling into statistical traps. For example, because such reports as A Nation At Risk contain many "selected, spun, distorted, and even manufactured…
Descriptors: Educational Research, Statistical Data, Data Interpretation, Statistical Analysis