The purpose of this study was to examine whether or not relationships exist between principals' technology proficiency and student achievement as indicated by 2008 Texas Assessment of Knowledge and Skills (TAKS) ninth grade reading scaled scores. Secondly, the study examined whether or not relationships exist between principals' leadership self efficacy and student achievement as indicated in the 2008 Texas Assessment of Knowledge and Skills (TAKS) ninth grade reading scaled scores. Lastly, the select principal's personal and school demographic variables (principal gender, total years of experience as a professional, total years as principal at current school, total years of principal experience, highest degree earned, school economic status, school size) were considered within the study. The survey instruments used in this study were the Technology Proficiency Self Assessment Scale (TPSA) developed by Ropp in 2000 and the Principal's Self-Efficacy Scale (PSES) developed by Tschannen-Moran and Garies in 2004. A total of 129 Texas principal's participated in the study. Multiple regressions were utilized and effect size was considered to determine the strength of the relationship between variables. A statistical significance was found relating to the school's social economic status only when using both the PSES and the TPSA instruments. The effect sizes reported …

Although sampling techniques have been used effectively in education research and practice it is not clear how stratified random sampling techniques apply to high-stakes testing in the current educational environment. The present study focused on representative sampling as a possible means for reducing the quantity of state-administered tests in Texas public education. The purpose of this study was two-fold: (1) to determine if stratified random sampling is a viable option for reducing the number of students participating in Texas state assessments, and (2) to determine which sampling rate provides consistent estimates of the actual test results among the population of students. The study examined students’ scaled scores, percent of students passing, and student growth over a three-year period on state-mandated assessments in reading, mathematics, science, and social studies. Four sampling rates were considered (10%, 15%, 20%, & 25%) when analyzing student performance across demographic variables, including population estimates by socioeconomic status, limited English proficiency, and placement in special education classes. The data set for this study included five school districts and 68,641 students. Factorial ANOVAs were used initially to examine the effects of sampling rate on bias in reading and mathematics scores and bias in percentage of students passing these …