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• W323779715 abstract "This paper explores in Texas as it relates to the development of an model based on information in the Accountability System of the Texas Education Agency. A number of were identified that were found to be related to specific outputs. Stepwise regression analysis was used to develop an model relating independent variables to dependent variables. Initial results suggested that a richer dataset might be needed to develop a robust model. Data from the Texas Acadmic Excellence Indicator System (AEIS), which included achievement test scores, were then used to develop revised models. Results of these analyses produced models that were slightly improvea over the preliminary models, although it was still difficult to explain much of the variance in student performance from available AEIS inputs. In fact, the best models that could be derived were those based on graduates and graduates with advanced seals. Appendix 1 contains a bibliography of 20 resources used to prepare this report. Appendix 2 lists the AEIS variables considered. (Contains five tables and nine references.) (SLD) ******) ************************************************************ Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U S DEPARTMENT OF EDUCATION On. CCI Educahonar Research and Immo...men! E DU DONA( RE SOURCES INFORMATION CE N TE R ERICA Tr.s document nas cen ieOrnduc ed as ieceived 'join !he pf nn Or nrganitatiiin wiginating ir Minor (flanges have Osier` made lc. intc,iiive reprnduCtqln duality Points 01 vie. Or opinions Staled in thiS(tin men) Oo nor nelessarrry represent otfir .a. OE RI Dosmon oknu v A First Look at Educational Productivity in Texas J. E. Gonzalez, Ph.D. Texas Center for Educational Research P.O. Box 2947 Austin, TX 78768 Southwest Educational Research Association Conference Dallas. TX January 27, 1995 I. Educational Productivity Introduction: 'PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) In the context of economic theory, productivity can be maximized with resource allocation decisions, which are based on analysis of and outputs. The mathematical expression for the relationship between and is referred to as a function. For over 80 years, researchers have been discussing in the context of processes. In general, the body of research that considers the inputs of education such as expenditures; as they relate to the outputs of education such as student achievement, is referred to as educational productivity. According to Rossmiller (1979), an production function can be represented by an equation that describes the transformation of a set of resource into a desired set of outputs. Rossmiller (1979, p. 6) writes that an production function would take the general form: Afro = g (Fo, So, Po, 10)," @default.
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• W323779715 date "1995-01-27" @default.
• W323779715 modified "2023-09-26" @default.
• W323779715 title "A First Look at Educational Productivity in Texas." @default.
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