This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…

According to the U.S. Department of Labor, by the year 2016 an estimated 51 million jobs will require some postsecondary education but not a bachelor's degree (Liming & Wolf, 2008). This represents an increase in these types of jobs of almost 11% over that of 2006. As the demand for these types of workers continues to rise, community colleges…

The Work Values Inventory and Self-Directed Search were used to predict retention of students in office occupation majors at Utah Valley Community College. The predictive model distinguished among students either retained (graduated, on-track, and "jobbed-out") and noncompleters. Noncompletion was correctly predicted for about 73 percent…

The Bean and Metzner Nontraditional Undergraduate Student Attrition Model appeared to be a good model to address community college student attrition because it takes into account the environmental variables that colleges must consider to enhance persistence. A study was conducted to determine how well the Bean and Metzner Model fit with community…

In forecasting its fall credit headcounts, the Office of Institutional Research and Analysis at Prince George's Community College (PGCC) utilizes the Component Yield Method (CYM), an enrollment projection model developed by the college's planning analyst in the early 1980's. By disaggregating enrolled students into multiple groups, each with an…

Describes a study applying the Tinto Model to predict student persistence/exit in a community college setting. A questionnaire assessing background, environmental, and integration variables was administered to full-time students during their first semester, successfully predicting subsequent persistence/exit behavior and affirming the utility of…

The purpose of this study was to present and evaluate Bayesian-type models for estimating probabilities of program completion and for predicting first quarter grade point averages of community college students entering certain allied health fields. Two Bayesian models were tested. Bayesian Model 1--Estimating Probabilities of Program…

A project was conducted to develop a model for evaluating placement testing in the North Carolina System of Community Colleges. Researchers at Central Piedmont Community College conducted a longitudinal study of students' progress through the college curriculum as it related to placement test scores. The following numbers of students comprised the…