The problem in this study was to determine the relationship between the scores on the three parts (reading, writing, and mathematics) of the Texas Assessment of Academic Skills Test (TAAS) and the academic success of first-year students at Clarendon College, Clarendon, Texas. High school grade-point average and gender were also included in the study. The purpose of the study was to develop an equation to predict first-year college grade-point average at Clarendon College . The predictor variables were the three parts of the TAAS Test (reading, writing, and mathematics) , high school grade-point average, and gender. The equation was developed through multiple correlation/multiple regression multivariate procedures. All statistical analyses were calculated through sub-programs of the Statistical Package for the Social Sciences (SPSS). The study was limited to using only 1992/1993 Texas high school graduates who had entered Clarendon College in the fall semesters of 1992 and 1993 directly following high school graduation. A search of Clarendon College records produced 115 students from these groups who fully met all standards defined for the study. Two predictor equations were developed. One developed through a simple regression command included all five predictor variables. The second equation was produced through a stepwise procedure. This equation included only high school grade-point average and the mathematics score from the TAAS Test. The variables TAAS reading, TAAS writing, and gender were not found to be significant when used in conjunction with the other predictor variables. The strength of each predictor variable was evaluated using students from the freshman class of 1994-95 at Clarendon College. Each of these students met the same basic standards used to establish the prediction equations. The two prediction equations were found to be equal in predictive strength. There was less than one percent difference in the variance accounted for between the two equations. …
The purpose of this study was to investigate the effects of self-management strategies as a means of reducing off-task and disruptive behaviors of elementary school children identified as emotionally disturbed or behavior disordered (E/BD). This study provided a practical approach for classroom teachers to implement self-management strategies in classes that include children identified as having E/BD. Five elementary school children who were formally evaluated and enrolled in a special education classroom for students with E/BD were selected to participate in the study. The study also examined the effects of the self-management procedures when targeted behaviors were monitored by peers. Four resource students from the regular education class served as peer monitors. An ABAB reversal design was used to assess the effectiveness of the self-management strategy in the special education classroom. A behavior rating scale was used at the beginning of the study to develop a baseline of student behavior and during the final phase of the intervention to measure progress. The data indicated that the self-management strategies decreased the levels off-task and disruptive behaviors for all participating students. The findings of this study substantiates previous research that suggests self-management techniques help student to manage their own behaviors.
Aircraft maintenance training programs in the Air Force have evolved from an almost exclusively mechanical orientation to one that is largely electronic. The Armed Services Vocational Aptitude Battery (ASVAB) with its four selector composites (Mechanical, Administration, General, and Electronic) has been in use for over 20 years. The mechanical (M) composite score is used to identify those who will be trained in aircraft maintenance.
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