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Ingels, Steven J.; And Others – 1992
This manual provides guidance and documentation for users of the public release data for the student component of the National Education Longitudinal Study of 1988 (NELS:88). The general aim of NELS, a continuing long-term project, is to study the educational, vocational, and personal development of students at various grades and the factors that…
Descriptors: Data Processing, Databases, Elementary Secondary Education, Followup Studies

Brick, J. Michael; And Others – 1992
This manual provides documentation and guidance for users of the public release data files (adult file and course file) for Adult Education (AE) component of the 1991 National Household Education Survey (NHES:91). The NHES:91 was a random-digit dial telephone survey developed by the National Center for Education Statistics (NCES) and conducted by…
Descriptors: Adult Education, Courses, Data Collection, Data Processing
California State Postsecondary Education Commission, Sacramento. – 1986
A feasibility plan is presented for a California comprehensive student information study that would identify factors affecting students' progress through California's entire educational system. The feasibility plan identifies: (1) potential improvements, (2) the study design required to achieve them, (3) the cost of implementing the design,…
Descriptors: Articulation (Education), College Students, Data Collection, Databases
Advanced Technology, Inc., Reston, VA. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection
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