This study compared traditional, A/B and accelerated block scheduling and its effects on student achievement and attendance by comparing the differences in student outcomes observed before and after the adoption of block/accelerated block schedules. The independent variable was the use of time in a block-scheduling model. The dependent variables were student outcomes measured by nine indicators based on the Academic Excellence Indicator System in Texas: student attendance, graduation rate, dropout rate, percentage of students taking advanced courses, percentage of students passing all Exit-level Texas Assessment of Academic Skills tests, percentage of students taking College Admissions Tests, mean SAT total score of those students who took the SAT, mean ACT total score of those students who took the ACT, and percentage of students who are at or above criterion on the SAT or ACT of those students taking the SAT or ACT. Data from archival files from the Texas Education Agency's Academic Excellence Indicator System for each respective year of the eight-year longitudinal study was collected. Scheduling models (traditional, alternating block and accelerated block) were investigated. The sample was drawn from the student population of a large urban school district in north central Texas, a district serving approximately 77,000 students. The district has twelve regular high schools serving students in grades nine through twelve. All twelve regular high schools were included in this study. The indicators were analyzed using SPSS multivariate and univariate analysis to compare the means, regression line slopes, and regression line intercepts for each type of schedule: traditional only, traditional prior to A/B block change, traditional prior to accelerated block change, A/B block, and accelerated block. The regression line, slopes, and intercepts were based on separate regression analysis where a school year was used to predict the AEIS indicators for each type of schedule. With the exception of graduation rate, significant difference was found for all dependent variables.

This study attempted to determine if the type of class schedule (traditional, A/B block, or accelerated block) used in Texas public high schools significantly affects students' achievement results, attendance rates and dropout rates. One thousand four hundred ninety (1490) Texas high school principals were surveyed to determine the type of schedule currently in use on each campus, the type of schedule previously used on each campus, the length of time the current schedule has been in place on each campus, and the length of time that the previous schedule was used on each campus. This study is particularly significant in that this research provides information to assist principals in determining if block scheduling is instrumental in improving achievement in reading and mathematics, in improving attendance and in lowering dropout rates. The results of the study indicated that the use of a particular type of schedule: traditional, A/B block, or accelerated block is not directly correlated to improved achievement, attendance, or dropout rates. An expectation that the implementation of a traditional, A/B block, or accelerated block schedule will be the sole factor to cause improved student achievement, improved attendance rates or improved dropout rates is inappropriate. Ultimately, campus and districts officials must assure that effective teaching practices are occurring on each campus, regardless of the schedule type. Currently, a projected (Texas) state education funding shortfall is causing school district administrators to review cost-saving options for the 2003 - 2004 fiscal year. There is discussion in many districts regarding the fact that traditional scheduling is more economical than A/B block or accelerated block scheduling. The results of this study indicate that the decision to move campuses from A/B block or accelerated block to traditional scheduling might be made as a cost-saving move without negatively impacting student achievement, attendance rates or dropout rates.