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Undergraduate enrollment in colleges and universities has grown and changed drastically over the past 2 decades, with a significant portion of this growth coming from the increased number of nontraditional students who have made the decision to make their way onto college and university campuses to pursue a college degree. Due to these changes, many institutions of higher education have had to rethink the way they have historically operated. In an attempt to better meet the needs and demands of adult nontraditional students, colleges and universities have reviewed their existing programs and instituted programs that allow for the awarding of academic credit for prior learning. For those institutions of higher education involved in the prior learning assessment (PLA) process and interested in providing a quality program, an increased emphasis and focus should be on the importance of determining what a learning activity is, and more importantly, what constitutes college-level learning. This study focused on the identification and profiling of prior learning assessment (PLA) processes in Texas public universities offering nontraditional baccalaureate degree programs, the identification of commonalties among such programs, and the determination of program quality based on established standards. The instrument utilized in this study was designed on Urban Whitaker's 10 Standards of Good Practice. The population consisted of those public institutions of higher education in Texas that offer the Texas CIP code 30.9999.40 - Applied Arts and Sciences - baccalaureate degree. A within-stage mixed-model methodology was used. Open-ended questions were used to strengthen the data obtained from the quantitative portion. This research study suggests that, although there are similarities with regards to the types of PLA processes used in the awarding of PLA credit, many of the organizations could benefit from an evaluation of their current policies, procedures, and/or common practices related to the process of awarding credit via prior learning assessment as they relate to overall quality.

The purpose of this research was to examine what relationships existed between selected sociometric variables and measures of academic performance for students in a counselor training program. The sociometric variables included counseling ability, counseling knowledge, and friendship. Academic performance measures included subject GPAs, group counseling participation and final grades, prepracticum grades, and practicum grades. Data was collected from sociometric questionnaires and academic records from the years 1991 to 2004, for 840 subjects who participated in a group counseling class at the University of North Texas. Counseling knowledge had the highest correlations with all academic measures except group counseling final grades, in which counseling ability had the highest strength. The strongest correlations for all three sociometric variables occurred with group counseling final grades; correlations were r = 0.42 for counseling ability, r = 0.40 for counseling knowledge, and r = 0.30 for friendship. The sociometric variable of friendship had the lowest correlations in all academic measures, but was more significant than expected. The friendship sociometric variable may account for likeability as a factor in making sociometric choices. Combined sociometric scores led to increased correlation strength and explained variances that reached the large level of 30% with group counseling final grades. A statistically significant difference was found between A and B grade students in group counseling, on all three sociometric variables. Effect sizes were generally large. Standard deviations for the A and B grade subjects were also large and could limit predictability of grades, based on sociometric scores alone. Results strongly suggested that all three sociometric variables would be a valuable source of information regarding counselor preparation. Results also validated that individual sociometric perceptions of others tended toward agreement. Significant correlations were found over a variety of academic measures and over a time-span of 14 years, suggesting a degree of consistency and stability in sociometric measures.