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…

One of the central lessons from research on data use in schools and school districts is that assessments, student tests, and other forms of data are only as good as how they are used. But what influences how they are used? This relatively straightforward question turns out to be fairly complex to answer. Data use implicates a number of processes,…

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)

Although most school districts and schools are routinely involved in data collection, they do not typically use the data they collect in a systematic fashion to identify strengths and weaknesses and develop improvement strategies. One reason for the lack of data use is the perception that the data are being collected for someone else's purposes.…

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)…