This research was conducted to determine why two-year community college instructors teach over the Internet. By understanding why these instructors teach over the Internet, colleges can recruit more instructors to teach using the Web thus allowing colleges to offer more Internet courses. They can also use the information to keep the instructors who are currently teaching over the Internet satisfied, and motivate them to continue to teach. To gather this information, a questionnaire was created and evaluated for reliability and validity during a pilot study. It was then sent to those instructors who taught over the Internet, and had their e-mails available on their campus Website. A 30.5% response rate (N=100) was achieved. The survey was divided into two sections, a demographics section and a Likert scale dealing with motivation. The Likert scale had six choices ranging from strongly agree to strongly disagree and 31 statements. The demographic data were reported and summarized. The Likert items were examined using factor analysis techniques, and a number of components were discovered. Eight components, made up of the 31 variables from the Likert scale were found using the factor analysis. The eight components in order are labeled: Technical and Computer Challenges, School Promotion, …

The purpose of this study was to examine the potential of three independent psychological scales (Rotter's Locus of Control, Karasek's Job Content Questionnaire [non-injury job stress], and Rosenberg's Self-Esteem Scale) to predict job satisfaction, as measured by Brayfield and Rothe's Index of Job Satisfaction, among salespersons in a small independent department store in Wichita Falls, Texas. An 82-item survey which examined the dynamics of a salesperson's work life was administered to 20 individuals who were full-time employees of the department store. Demographic data were also gathered although these factors were not entered into the regression analysis. A multiple regression procedure examined the responses of the 20 employees who participated in the study. The R-squared coefficient indicates that 41 percent of the variance in Job Satisfaction was explained by the three predictor measures. A major proportion of this unexplained variance may be in variables outside the scope of this study, e.g., salaries, vacation time, benefits, bonuses, or commissions. Results suggest that the independent variables measured by the Locus of Control Scale and the Job Content Questionnaire in combination were the best predictors of job satisfaction with a significance level of .01. The single best predictor was the Job Content Questionnaire, significant …