This study addressed the perceptions of Texas middle school principals about the middle school concept in Texas middle schools and the effect of selected variables on the implementation of the concept. In addition the study sought to determine whether Texas middle school principals' perceptions of implementation were comparable to the perceptions of national middle school principals and if relationships existed between Texas principals' perceptions and school district size. A questionnaire was developed to survey Texas middle school principals' perceptions concerning the desirability, the implementation of the concept of the middle school, and the effects which four variables had on concept implementation: (1) return to the semester plan, (2) Texas Assessment of Basic Skills requirement, (3) back-to-basics movement, and (4) lack of middle school certification. School districts were categorized according to size for surveying purposes. Data were computer processed to calculate frequencies, percentages, means, t test, and one-way analysis of variance.

The problem of this study was to analyze the effect that a legislature-mandated quarter system was having on certain selected middle schools in the State of Texas, Some educators have claimed that the quarter system makes it possible to add flexibility to school programs. This study, therefore, was an attempt to find out if local school districts were taking advantage of this opportunity. A second goal of the study was to determine how principals, teachers, and curriculum directors felt about the manner in which schools were implementing certain teaching strategies which experts in this field have recommended for use in middle schools. It was concluded that the schools were not taking advantage of the quarter system in order to more nearly approach the middle school concept. Educators do not seem to be against the innovations proposed by middle school authorities so it would seem that the time is right for a full commitment to the area of schooling for the middle years. The support of the general public then will be a key factor in the success of the middle school. Educators must make an effort to keep the public better informed about the way children learn and grow if this support is to be forthcoming.

The problem of this study was to determine whether differences exist between elementary and middle school campuses that participate in University Interscholastic League (UIL) academic activities and similar campuses that do not participate. The Texas Education Agency Academic Excellence Indicator System (AEIS) furnished data from 1993 through 1997 for this ex post facto comparative research. Using all Texas Assessment of Academic Skills (TAAS) scores for grades 3 through 8, economically disadvantaged population data, attendance rates and campus accountability ratings, 12 hypotheses and 4 research questions were addressed.

In recent years much attention has gone to school efficiency, as determined by assessing student achievement relative to expenditures at the school district level. The present study built on prior work in school efficiency with a focus on the school campus level instead of the district level. Included in the study were 28 elementary and middle school campuses in a selected school district in Texas. The approach taken in the investigation was data envelopment analysis (DEA), which provided scores for efficiency and was intended to provide clarity on efficiency research at the campus level. Past studies using the DEA model have involved business and private institutions, but not public schools. The DEA model calculated and assigned efficiency scores for each campuses. The two variable categories used to determine campus efficiency were student demographics and resource allocation. The total enrollment numbers included the number of White, economically disadvantaged, at-risk, and limited English proficiency students. The resource allocation variables included the total expenditures in instruction, instructional related services, instructional leadership, campus leadership, and student support services. The efficiency scores paired with student achievement scores determined campus efficiency and effectiveness. An effective and efficiency framework was used to represent the data with student achievement on the y-axis and campus efficiency scores on the x-axis. I applied Pearson product moment and regression analyses using the same variables as previous studies. The Pearson product moment assessed the correlation between student demographic variables, function code variables, and campus efficiency. The Pearson product showed a weak positive relationship between the number of White students and the number of LEP students enrolled in the district. The analysis also showed moderate and strong negative relationships between efficiency and instructional leadership and student support services. The regression analysis identified the student demographic and function code variables that affected the level of efficiency of each school campus. School leadership and student support services had strong negative relationships with campus efficiency. Instructional related services had a strong positive relationship, and total enrollment and White students had weak positive relationships with efficiency. Additionally, non-White, economically disadvantaged, and at-risk students yielded weak to moderate negative relationships. The use of the DEA model allows school districts to analyze the spending patterns, specifically at the campus level. This analysis also allows districts and campuses to make meaningful decisions related to classroom instruction, instructional leadership, campus leadership, and counseling services.

An examination of the characteristics of Texas middle schools has been conducted with the objective of developing a planning tool for middle staffs. This success is measured by the Academic Excellence Indicator System (AEIS), whose rating scale has three components: campus scores on the Texas Assessment of Basic Skills (TAAS), campus attendance percentages, and campus dropout rates. TAAS scores and attendance rates have been the focus of this study. Two years of data were examined separately for research question. Principal component analysis reduced the number of indicators in both years' data to 20 factors/ Each of these factors received a designated based on the characteristics that the component indicators had in common. A multiple regression analysis was performed on these factors to determine the influence each had on the campus TAAS scores and attendance. The unpredictability of human subjects requires an additional step in this study to achieve valid conclusions. A comparison of the two years' results is made to discover attendance, gifted and talented programs, and teacher gender were the strongest overall positive influences on student achievement. Campus demographics, retention, and ESL/bilingual programs have the strongest association with low student achievement.