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Teye, Amanda Cleveland; Peaslee, Liliokanaio – Child & Youth Care Forum, 2015
Background: Youth programs often rely on self-reported data without clear evidence as to the accuracy of these reports. Although the validity of self-reporting has been confirmed among some high school and college age students, one area that is absent from extant literature is a serious investigation among younger children. Moreover, there is…
Descriptors: Youth Programs, Young Children, Student Evaluation, Outcomes of Education

Rombouts, Stephen – College and University, 1991
The use of contingency tables in creating a statistical profile of a college student population is explained. The method provides simultaneous cross-indexed frequency distribution of two database fields. Common uses are discussed, and application is illustrated in a hypothetical student retention study. Extensions for nonnumerical fields and…
Descriptors: College Administration, College Students, Computer Software, Higher Education

Borden, Victor M. H. – New Directions for Institutional Research, 1995
A discussion of new technologies and strategies for monitoring college student progress identifies four stages of developing information systems: (1) problem definition and systems specification; (2) data extraction and synthesis; (3) data analysis; and (4) dissemination. Some trends in use of data sources, analysis types, tracking capabilities,…
Descriptors: College Administration, College Students, Computer Software Development, Computer Uses in Education
Kaufman, Phillip; Bradbury, Denise – National Center for Education Statistics, 1992
The National Education Longitudinal Study of 1988 (NELS:88) is a large-scale, national longitudinal study designed and sponsored by the National Center for Education Statistics (NCES), with support from other government agencies. Beginning in the spring of 1988 with a cohort of eighth graders (25,000) attending public and private schools across…
Descriptors: At Risk Students, Longitudinal Studies, Statistical Analysis, Demography