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National College Access Network, 2016
The phrase "data-driven" has been used with increasing frequency in the college access and success field in recent years. However, as with many frequently used phrases, its importance can get lost or written off as a buzzword. Being data-driven revolves around decisions being shaped by information and evidence rather than hunches, gut…
Descriptors: Program Improvement, Data, Data Collection, Information Management
Steinmetz, Andres – NCME Measurement in Education, 1976
The discrepancy evaluation model (DEM) specifies that evaluation consists of comparing performance with a standard, yielding discrepancy information. DEM is applied to programs in order to improve the program by making standards-performance-discrepancy cycles explicit and public. Action-oriented planning is involved in creating standards; a useful…
Descriptors: Data Collection, Differences, Evaluation Criteria, Evaluation Methods
Astin, Alexander W. – 1991
This book's purpose is to show .how assessment can be used to enhance the educational and research functions of colleges and universities by promoting talent development among both students and faculty members. Chapters cover the following topics: (1) review of traditional uses of student assessment; (2) the input-environment-outcome model which…
Descriptors: College Faculty, College Outcomes Assessment, Data Collection, Database Design
Middaugh, Michael F.; And Others – 1994
This book provides conceptual and practical strategies for the data and information collection and analysis needs of a diverse group of institutions, ranging from small rural community colleges to large urban research institutions. The model framework is designed for use by any size or type of institution and gives a broad overview of various…
Descriptors: Audits (Verification), Colleges, Data Analysis, Data Collection