This study examined the relationship between Career and Technical Education (CATE) and the Academic Excellence Indicator System (AEIS), the measure of school and learner success in Texas. CATE, an established program, traditionally encourages student achievement and perpetuates best educational practices. AEIS data was collected by the Texas Education Agency. In addition, a survey was used to measure CATE effectiveness and the relationship between effectiveness and AEIS performance. Two-factor mixed repeated measures ANOVAs were used to observe group differences over time. CATE and non-CATE exit level TAAS scores for reading and math at the district level were analyzed for 2000, 2001, and 2002. CATE students had higher group means but there was not statistical significance indicating that CATE students performed as well as non-CATE. Two-factor mixed repeated measures ANOVAs were also used for analysis of differences at the district level for attendance, dropout rates, and graduation rates. There were higher group means for attendance for CATE students and there was also statistical significance indicating that CATE students attended more often then non-CATE students. There was a lower group means for dropout rate and there was also statistical significance between groups over time. This was an inverse relationship indicating that CATE students dropped out less often then non-CATE students at a statistically significant level. The graduation rate analysis showed a higher group mean for CATE students but not statistical significance. CATE students graduated at the same rate as the non-CATE group. Pearson's r was used to correlate the relationship of the effectiveness of CATE programs with AEIS results. There was no statistical significance for reading and math TAAS exit-level tests with CATE effectiveness scores. Again there was no statistical significant relationship between CATE effectiveness and attendance and graduation. However there was statistical significance between CATE program effectiveness and dropout correlation for 2001.

Self-concept, discussed as a scholarly topic since the time of Socrates and Plato, is an important theoretical construct in education because self-concept is considered to be a desirable trait and a facilitator of positive future behavior. The purpose of this study was to examine the relationship between the characteristics of students enrolled in career and technical education (CTE) programs and students' self-concept scores as measured by specific subscales from the Self-Description Questionnaire (SDQ). A total of 196 male and 89 female secondary students (Grades 9-12) enrolled in arts, audio/video technology and communications cluster courses in North Central Texas school districts participated in the study. Student characteristic variables of interest were age, gender, CTE program enrollment, and participation in CTE. The self-concept subscales analyzed were General, Academic, Verbal, Math, and Problem Solving. A canonical correlation analysis was conducted using the four student characteristic variables as predictors of the five self-concept variables to evaluate the multivariate shared relationship between the two variable sets. The full model across all functions explained about 23% of the variance between the variable sets. Function 1 explained 15% of the shared variance and Function 2 explained 7% of the variance that remained. This study detected a relationship between specific student characteristics and self-concept as measured on certain domain-specific first-order factors. Gender and participation in CTE were found to be related to verbal self-concept and problem-solving self-concept. Results suggest that females in arts-based CTE programs have a higher verbal self-concept than their male counterparts; male students have a higher problem-solving self-concept. Results further suggest that students with a high level of participation in CTE also have high verbal and problem-solving self-concepts.