The purpose of this study was to examine a previous funding success model for its use across disciplines in order to identify the significant variables, the networking activities, and the demographic profile that contributed to successfully receiving federal grant awards. The study expanded the conceptual model by adding: (a) the physical sciences and computer science disciplines, (b) more categories of institutional support, (c) demographic data to obtain a successful researcher profile, and (d) networking activities. Using the Cronbach coefficient alpha, this study evaluated the survey instrument as being in the acceptable range for reliability. Using a multiple regression analysis, the study measured the significance of the relationship between the dependent and the independent variables. The previous study had concluded that there were different models of funding success for the disciplines of biological sciences and mathematics. Discipline or field of study was included in this study as an independent variable but, contrary to the previous study, was not identified as a significant predictor; this study supported the validity of the model's use across disciplines. New models were identified for dollar value of awards and number of awards received. A comprehensive model of funding success was also identified. The variables that form the comprehensive funding success model were: number of proposals submitted, consortium arrangements, number of offices held in professional associations, reduced teaching load, applications to the Department of Defense, the research team size, education or training in grant writing, and attendance at professional association meetings. It is concluded that the three new funding models and survey can be replicated with similar populations and different disciplines to identify variables that lead to funding success.