Despite numerous studies and reviews on faculty turnover, there appeared to be no systematic investigation of factors which influenced voluntary turnover among full-time faculty members in Nigerian educational institutions such as those studied here. In addition, it appeared that Nigeria lacked faculty turnover data for use in any meaningful research study. Therefore, this study investigated factors perceived to be influential among full-time faculty members leaving their jobs or institutions voluntarily. The six facets of the Job Descriptive Index developed by Smith, Kendall, and Hulin as well as a questionnaire about commitment development by Mowday, Porter and Steers elicited data concerning: present work, pay, promotion, supervision, coworkers, job in general, and commitment. Two hundred and eight (84.21%) of 247 full-time faculty members from ten selected colleges of technology/polytechnics in Nigeria became involved in this study. Means, frequencies, percentages, one-way ANOVA set at .05 level and Scheffe Test of Multiple Comparison set at .10 level were used for the analysis of data. Based on the findings, it could be established that full-time faculty members in Nigerian Colleges of Technology/Polytechnics are dissatisfied with their conditions of service. The most influential factors for voluntary turnover were pay and opportunities for promotion. Conclusions drawn from the study indicate that the demographic characteristics (gender, age, level of education, years of college teaching experience, salary grade level, college/polytechnic of employment, and region of origin) affect full-time faculty members' work attitudes. Further studies are recommended to determine policies and practices suitable for retaining the most capable full-time faculty members in Nigerian Colleges of Technology/Polytechnics.

In spite of the increase in the number of the international academic workforce and their potential benefits, international status has been relatively under-studied in Public Management and Higher Education literature in comparison with studies of age, gender, and race. Given these realities, the present study identifies characteristics of internal and external variables that influence international and U.S. faculty turnover intentions in a large public South Eastern research university. To understand the variations in short-term and long-term turnover levels while controlling for various demographic, structural, and external variables, eight Ordinary Least Square (OLS) regression analysis were performed using turnover intentions as the dependent variables. Distributive justice has the strongest negative effect on short-term turnover, and communication openness has the strongest negative effect on long-term turnover. After controlling for job satisfaction and organizational commitment, the effect of communication openness on short-term turnover and the effect of distributive justice on long-term turnover are not statistically significant. This suggests that communication openness and distributive justice might affect turnover through job satisfaction and/or organizational commitment. Job satisfaction has the strongest negative effect on short-term turnover and organizational commitment has the strongest negative effect on long-term turnover after controlling for internal and external variables. In addition, this study aims to analyze the differences in internal and external factors that impact faculty turnover by international status. In achieving this aim, international faculty were compared to the U.S. faculty on the afore-mentioned internal and external factors that were shown in the literature to impact turnover. The result shows that structural variables such as autonomy, communication openness, and procedural justice play a bigger part in how international faculty evaluate their career with the current university than it does for U.S. faculty. On the contrary, kinship ties and job opportunity have stronger effects on U.S. faculty turnover than international faculty turnover. The implications of this study and areas of future opportunities are discussed.

This research study was conducted to determine if there was a difference in community college graduation rates based on aggregate faculty hires, aggregate faculty retention and community college size. The study employed a non-experimental quantitative research design with three independent variables (aggregate faculty new hires, aggregate faculty retention and community college size) and one dependent variable (graduation rate). The study utilized a one way ANOVA, independent t test, and factorial ANOVA to analyze differences in graduation rates based on aggregate faculty new hires, aggregate faculty retention, and community college size. Results of the one way ANOVA revealed statistically significant differences in graduation rates based on the level of faculty new hires and community college size. Results of the independent t test failed to show statistically significant differences in graduation based on the level of aggregate faculty retention. Results of the factorial ANOVA revealed statistically significant differences between the interaction of aggregate faculty new hires and community college size as well as aggregate faculty retention and community college size.