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 …

A cross-sectional quantitative causal research design was employed to explore the relationship between adolescent digital aggression, cyberbully behavior and moral disengagement. A survey was created and electronically administered to 1077 high school students in Grades 9-12 in a selected school district in Texas. High school students were chosen because research has shown a decrease in traditional bullying and an increase of digital aggression and cyberbullying at this developmental level. A principal component analysis (PCA) of the survey was conducted to determine latent constructs. The results of the PCA revealed 6 latent variables, which included moral disengagement, school climate and culture, social relationships, spirituality, family systems, and mood (anger). Moral disengagement was the dependent variable in the current study, while the remaining latent constructs were treated as independent variables. In addition to the latent constructs, student demographics and self-identification as a cyberbully or cybervictim were included as independent variables in the one-way analysis of variance (ANOVA) and multiple regression models. An ANOVA of the survey items where the participants self-identified as a cyberobserver, a cybervictim or a cyberbully was initially conducted. Participants who identified as a cyberobserver explained less than 1.0% of the variance in moral disengagement. Additionally, participants who identified …