In this study, we used data from a cohort of 4,033 Tulsa kindergarten students to investigate the relationship between pre-K enrollment and later college enrollment. Specifically, we tested whether participation in the Tulsa Public Schools universal pre-K program and the Tulsa Community Action Project (CAP) Head Start program predicted enrollment…

This study investigates whether adequate yearly progress (AYP) status, locale, and sector--common variables used to judge the quality of schools--accurately signal true differences in instructional practices in high school mathematics and science. Using data from the High School Longitudinal Study (HSLS), we find the school-to-school variation in…

This study documents the reliability and validity of a new infant-toddler authentic assessment, the Learning Through Relating Child Assets Record (LTR-CAR), and its feasibility of use by infant-toddler caregivers in an Early Head Start program. In a sample of 136 children, results indicated a strong internal structure of the LTR-CAR as evidenced…

This article analyzes a type of microcomputer program that can process a set of: (1) prior cases or incidents; (2) predictive criteria for separating the cases into two or more categories, and (3) relations between each prior case and criterion in order to arrive at an accurate decision rule. (Author/BS)

Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)

Describes the practice of federal evaluation of research impact through three approaches: retrospective methods; qualitative methods, including peer review; and quantitative methods. Recommended areas for study in federal research impact assessment are suggested, including predictive reliability, comparative studies, time and cost estimates,…