The purpose of this study was to explore some of the issues posed by the developers of the first National Nursing Assistant Survey (NNAS). One of the central issues was what factors influence job satisfaction among long-term care nursing assistants. Four areas that are more specific were investigated--initial employment decisions, initial training experience, relationship with supervisor, and general work environment--using both descriptive statistics and logistic regression. Original variables and researcher constructed (summed) variables became the study's predictive variables for the four areas. The researcher used several different questions from the NNAS to create the output variable that measured nursing assistants' job satisfaction. The sample for this study had 2,325 cases. Logistic regression was used to examine which of the predictive variables influenced nursing assistants' job satisfaction. The model correctly classified 77.5% of the cases. Five variables--initial training, supervisor issues, feel good about work, work environment, and value others place on the nursing assistants' jobs--were statistically significant. However, feeling good about their work was the only variable that appears to have a medium to large amount of practical significance with an odds ratio of 5.037. The other variables' odds ratio showed little change in the likelihood of increasing nursing assistants' job satisfaction. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]