The purpose of this study was to explore the relationship between money spent on technology hardware, software, and training on district-wide achievement as measured by Texas standardized achievement tests, the Scholastic Aptitude Test (SAT), and the American College Test (ACT). A series of studies were carried out to develop a model of the relationship between Texas district TAKS, TAAS, ACT, and SAT scores for all subjects and district expenditures on technology hardware, technology software, and technology training. The findings of this study showed that although the mixture of uneven distribution of training, incentives, and equipment in these Texas districts clouds the issue of effective integration as it does for all districts (Anderson & Becker, 1998), and the mean level of per pupil technology expenditure for participating districts is of an amount ($192 per student) deemed unlikely to have substantial impact on student outcomes (Anderson & Becker, 1998), there are strong positive links between levels of expenditure and student achievement on the Texas Assessment of Knowledge and Skills and the American College Test that indicate that establishing guidelines for levels of expenditure, schedules of acquisition of materials and equipment, and timeframes for training and implementation may be vital to the success of technology integration in these districts and potentially for all districts in the nation. More study into effective funding levels, schedules of acquisition of materials and equipment, and timeframes of implementation is necessary to create truly successful programs of technology integration in school districts.

The purpose of this study was to compare per pupil receipts for operation in most school districts in Texas based on the changes in State funding provided for by three major finance bills and to analyze the effects of federal monies provided by Title I of the Elementary and Secondary Education Act of 1965 to determine the degree of equity in the State's school finance structure. The population consisted of 973 public school districts reporting all data for 1974-75, 1976-77, and 1977-78. The districts were grouped into ten wealth deciles based on School Tax Assessment Practices Board assessed property value per student in average daily attendance. A weighted mean value for each decile for each category and year of funding was computed. Correlation coefficients were computed to provide an index of relationship between the categories of dollars available per pupil for operations. Coefficients of variation were determined to express the magnitude of variation relative to the average value for each additive category for each decile.

Educators can no longer simply look at student totals to distribute instructional dollars. Databased decision-making must be instituted to overcome achievement gaps between white and non-white students. In low-socioeconomic (SES) settings, districts must increase expenditure per pupil (EPP) as low-SES rates rise for all students as district administrators must be in a position to show product rather than process. It was attempted to determine if a positive or negative relationship existed between Anglo, Hispanic, and African-American student test scores and wealth factors on the Texas Assessment of Academic Skills tests in 2000 and 2002. Wealth factors studied included EPP and SES. Data analysis was carried out on 974 independent and consolidated school districts in Texas. Low-SES was found to be a negative predictor of higher test performance on standardized reading and mathematics tests. To varied degrees, low-SES affected all students from all ethnicities as well as affluent students. EPP was attributed with a positive effect on student test performance. Increases of $1,000 or more at one time produce performance increases from 0.20 to 0.40 points. In making specific recommendations, the researcher advises increasing expenditures low-SES districts, schools, and classrooms through the creation of specific district linear equations exhibited in this study. Funds must be earmarked for those students that are affected by poverty. It is also recommended to decrease the number of low-SES students by merging high-SES and low-SES students to dilute poverty's effects. Additional correlation studies that address instructional strategies and outside factors are needed. Finally, a replicating study using Texas Assessment of Knowledge and Skills data over a period would be beneficial.

A pre–post case study was conducted to examine how target revenue funding from Texas House Bill 1 (2006) has impacted the school districts within the Texas Education Service Center Region X area. Forced by the courts, the Texas Legislature was required to fix the Texas school finance system because of a de facto statewide property tax it had created by capping school district’s maintenance & operations tax rate at $1.50. Texas Governor Rick Perry used this opportunity to reduce school district M&O taxes by one-third. The Texas Legislature passed House Bill 1 (2006), the Public School Finance and Property Tax Relief Act, in response to the courts and to address a continuous decline in state funding support for public education. The Public School Finance and Property Tax Relief Act reduced local school districts’ property tax rates and revenue with the assurance that these funds would be exchanged for state aid. Local school property taxes were reduced over two years, 2006–2007 and 2007-2008, by 33%. In order for the State of Texas to meet the state aid funding guarantee from House Bill 1 (2006), each school district was frozen to its 2005–2006 revenue per weighted student, which was called a district’s revenue target. This study examined the impact target revenue has had on these school districts by analyzing and comparing revenues and expenditures prior to and following the law’s implementation. Specifically, changes in per-student revenue, per-student expenditures, and district fund balances were assessed.