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Download full textYu, Bing – Society for Research on Educational Effectiveness, 2013
Difference-in-differences (DID) strategies are particularly useful for evaluating policy effects in natural experiments in which, for example, a policy affects some schools and students but not others. However, the standard DID method may produce biased estimation of the policy effect if the confounding effect of concurrent events varies by…
Descriptors: Evaluation Methods, Bias, Research Methodology, Scores
New York State Education Dept., Albany. Office of Postsecondary Research, Information Systems, and Institutional Aid. – 1980
A highly technical report describes higher education forecasting procedures used by the State Education Department of New York at Albany to project simulated college enrollments for New York State from 1978-1994. Basic components of the projections--generated for full- and part-time undergraduates, full- and part-time graduates, and…
Descriptors: Cohort Analysis, College Bound Students, Data Analysis, Declining Enrollment
