Statistical Analysis Project
Statistical analysis, Education -- Finance, Public schools -- Oregon -- Financial aspects, Regression analysis
This paper looks at the some of the issues behind national and state controversy over public school performance financing, and specifically targets school performance differences between rural and urban public secondary schools in Oregon. Regression analysis is used to analyze correlations between performance metrics such as 10th grade achievement and SAT scores, rural or urban classifications, dropout rates, and English-as-a-Second Language percentage. Where overlap occurs on Oregon School Report Cards and the Federal No Child Left Behind law, (NCLB) those areas are addressed, however, we make no attempt to address NCLB expected impact on Oregon secondary schools in it’s entirety and is not our focus in this paper.
Demirci, Cem; Kasel, Lisa; Lin, Hung-Hui; and Schorr, Karl, "Oregon Schools: Rural versus Urban?" (2004). Engineering and Technology Management Student Projects. 1442.