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Download full textIngels, Steven J.; Pratt, Daniel J.; Wilson, David; Burns, Laura J.; Currivan, Douglas; Rogers, James E.; Hubbard-Bednasz, Sherry – National Center for Education Statistics, 2007
The Data File Documentation reports on the procedures and methodologies employed during the Education Longitudinal Study of 2002 base year, first, and second follow-ups, with special emphasis on the second follow-up (2006). The document is designed to provide guidance for users of the restricted-use data as released in Electronic Codebook (ECB)…
Descriptors: Longitudinal Studies, Research Methodology, High School Students, Data Collection
Ingels, Steven J.; Quinn, Peggy – 1996
The National Education Longitudinal Studies Program (NELS) is a long-term effort that encompasses the educational experience of youth from three decades. This report is based on the National Education Longitudinal Study of 1988 (NELS:88), a component of the NELS series that began as a national probability sample of eighth grade schools and…
Descriptors: Data Analysis, Educational Experience, Elementary Secondary Education, Eligibility
Ingels, Steven J.; And Others – 1989
Nonresponse issues are investigated for the base year (1988) survey of the United States Department of Education's National Education Longitudinal Study of 1988 (NELS:88), a national probability sample of middle schools and eighth-grade students in the spring of 1988. The total eighth-grade enrollment for the NELS:88 sample of schools was 203,002;…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Ingels, Steven J.; Owings, Jeffrey A. – 1994
The National Education Longitudinal Study of 1988 (NELS:88) serves as an example of how three specific problems of representativeness in a longitudinal study may be approached and overcome. NELS:88 was designed to provide longitudinal data about the educational transitions experienced by students as they leave eighth grade and move through high…
Descriptors: Attrition (Research Studies), Change, Cohort Analysis, Eligibility
