A growing trend in high schools across the state is the use of dual credit and dual enrollment courses to better prepare high school students for college or the work force. Given the increase in dual credit and dual enrollment participation and the goal of creating a more seamless transition from high school to college, the effectiveness of these programs needs to be researched. The research hypothesis for this study states that students who participate in a dual credit and dual enrollment program during high school are more likely to complete an associate degree within 3 years than students who do not participate in dual credit and dual enrollment, when accounting for covariates such as gender, race, and socioeconomic status. This study examined the effectiveness of dual credit and dual enrollment programs, particularly with regard to associate degree completion, credit hour accumulation, and college GPA. The participants in this study were 1st-time, full-time students enrolled during Academic Year 2007 at 5 of the 15 community and junior colleges in state of Mississippi. The sample included 6,029 students, of which 255 had previously participated in a dual enrollment or dual credit program. This study revealed that dual credit and dual enrollment participation positively affects postsecondary outcomes for students enrolling in community colleges in the areas of associate degree completion and college GPA. Students who started college with prior experience in a dual credit or dual enrollment program were 2.51 times more likely to complete an associate degree within 3 years of first-time, full-time college enrollment than individuals who did not participate. Additionally, the study revealed that factors such as SES, gender, and race had an effect on college GPA; and that SES and race affected the number of credit hours earned by community college students. Given the positive outcomes resulting from participation in dual credit and dual enrollment programs, these programs certainly bear consideration for expansion and further study in the future, particularly given the growing availability of longitudinal data within statewide longitudinal data systems that have launched in recent years across the United States.

Enrollment in degree-granting postsecondary institutions in the U.S. is increasing, as are the numbers of students entering academically underprepared. Students in remedial mathematics represent the largest percentage of total enrollment in remedial courses, and national statistics indicate that less than half of these students pass all of the remedial math courses in which they enroll. In response to the low pass rates, numerous studies have been conducted into the use of alternative modes of instruction to increase passing rates. Despite myriad studies into course redesign, passing rates have seen no large-scale improvement. Lacking is a thorough investigation into preexisting differences between students who do and do not take remedial math. My study examined the effect of taking remedial math courses in college on degree attainment and college GPA using a subsample of the Educational Longitudinal Study of 2002. This nonexperimental study examined preexisting differences between students who did and did not take remedial math. The study incorporated propensity score matching, a statistical analysis not commonly used in educational research, to create comparison groups of matched students using multiple covariate measures. Missing value analyses and multiple imputation procedures were also incorporated as methods for identifying and handling missing data. Analyses were conducted on both matched and unmatched groups, as well as on 12 multiply imputed data sets. Binary logistic regression analyses showed that preexisting differences between students on academic, nonacademic, and non-cognitive measures significantly predicted remedial math-taking in college. Binary logistic regression analyses also indicated that students who did not take remedial math courses in college were 1.5 times more likely to earn a degree than students who took remedial math. Linear regression analyses showed that taking remedial math had a significant negative effect on mean college GPA. Students who did not take remedial math had a higher mean GPA than students who did take remedial math. These results were consistent across unmatched groups, matched groups, and all 12 multiply imputed data sets.

The purpose of this study was to determine if there was any relationship between student success as defined by grades in earned in basic sciences of anatomy and physiology as well as overall college grade point average with the score on the National Physical Therapy Examination (NPTE) for Physical Therapist Assistant (PTA) students. This pilot study examined the first two cohorts of PTA students at the College of the Sequoias from 2012 and 2013. Correlations and multiples regressions were the primary quantitative methods used to determine which prerequisites were most likely to predict passing the NPTE. Demographic information of ethnicity and age, did not show any significant correlation with score on the NPTE-PTA. Further analysis determined that both anatomy and overall grade point average had statistical correlations. However, overall college grade point average was the only variable that contributed significantly to the NPTE score. Therefore, overall grade point average was used to develop a predictive admission formula that can be used for further research and analysis. The procedures for this pilot study can be used to duplicate the study on a larger scale and continue to build a predictive admission formula that has the potential for establishing a consistent admission criterion for PTA programs. The long range goal of this study has been to help identify students who have the greatest potential to pass the NPTE and become employed as a PTA.