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Complete College America, 2023
Measurement systems give colleges a structure for collecting, sharing, and acting on data. The guidebook and tools presented here help faculty, staff, college leadership, and policymakers understand and use measurement systems--and specifically use data to improve completion rates, close institutional performance gaps, and facilitate economic…
Descriptors: Measurement, Guides, College Faculty, College Administration
Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Wing, Paul – 1974
The primary objectives of this manual are to provide enrollment forecasting practitioners with guidance about the use of specific forecasting techniques and procedures and to foster greater understanding of these important planning tools. In addition to general discussion of such topics as accuracy, uses, assumptions, and data requirements, the…
Descriptors: College Students, Data Analysis, Data Collection, Educational Planning

Bess, James L. – Journal of Higher Education, 1979
Improving the quality of classroom, academic, and management decisions through more intelligent and systematic use of student data is addressed. Kinds of student-data users are classified, variables of student attitudes and behavior relevant to each user are identified, and relevant published instruments are listed. (Author/JMD)
Descriptors: College Administration, College Students, Data Collection, Decision Making