Limiting data collection to a sample group is one way to increase effectiveness in dealing with data. The paper describes how to draw a sample group (random sampling, stratified random sampling, purposeful sampling, and convenient or opportunity sampling) and discusses how to determine the size of the sample group. (SM)

Getting answers to questions about schools and student learning requires that educators know how to collect, analyze, and interpret data. Six critical steps in this process include: posing questions, establishing judgment criteria, making a plan, gathering data, analyzing data, and interpreting results. These steps can serve as a beginning guide…

A seven-part sequence for evaluation of a teacher center includes: (1) determining the purpose of evaluation; (2) identifying decision makers; (3) identifying areas of concern to decision makers; (4) determining what information is necessary to make decisions; (5) determining the means of collecting information; (6) organizing and using the…

Presents a model to help schools pose and answer data-based questions about teaching and learning, describing different types of data that educators can use to piece together pictures of their schools (e.g., student learning statistics, demographic data, and school process data) and discussing how educators can cross data from different categories…

Extensive practice and research in program evaluation have led to this eight-step process that a professional developer can use to determine a program's effectiveness and strengthen the program as it evolves. An unbiased, systematic process of evaluation can help justify putting resources into professional learning and make it easier to determine…