Objective: This study explores the relationship between online social network involvement and academic outcomes among community college students. Prior theory hypothesizes that socio-academic moments are especially important for the integration of students into community colleges and that integration is related to academic outcomes. Online social…

This study examined the demographic factors that predict intention to integrate technology into instruction by community college adjunct faculty. Regression model findings indicated that the demographic characteristics of years of teaching experience, teaching discipline, hours of preparation time, and years of experience using computers were…

In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model.…

The volume of literature for research on work ethics is extensive but most involves workers on the job or looking for employment (Petty & Hill, 2005). A gap in the literature exists for research of work ethics among students and instructors involved in Career and Technical Education. Using the Employability Skills Assessment (ESA) authored by…

Two common web-based surveys, "Is Online Learning Right for Me?' and "What Technical Skills Do I Need?", were combined into a single survey instrument and given to 228 on-campus and 83 distance education students. The students were enrolled in four different classes (business, computer information services, criminal justice, and…

It was concluded that prediction of success in remedial mathematics courses can be made correctly 71 percent of the time using five select predictors: high school average, mathematics test score, attitude toward mathematics score, sentence test score, and mathematics interest score. (Author)

The major purpose of this investigation is to identify the extent to which selected motivational, aptitude, interest, and attitudinal criteria predict academic success in social science courses for transfer and occupational-technical community college students. (Author)

All teacher evaluation forms completed in the arts and sciences division of a large community college were analyzed. Multiple regression was used to predict teacher rating. Items relating to teacher characteristics as perceived by the students (e.g., "tries to help students understand," etc.) had a consistant impact on rating. (Author/MLW)

Classical multiple regression was compared with Bayesian m-group regression, complete with cross-validation. The setting was a post-developmental studies situation in a comprehensive community college. A secondary purpose of the study was to incorporate an advisor prediction of grade point average (GPA) as input into both regression procedures.…