Higher education appropriations have been a widely studied topic by researchers and became more of a concern after the Great Recession. Assessing factors influencing appropriations to Research I institutions is of particular interest as they possess substantial enrollment capabilities but can create great inequities and access issues without state subsidization (Weerts & Ronca, 2006). Two measures of appropriations were crafted using data from the Integrated Post Secondary Data System (IPEDS) for two year and above institutions from 2010 to 2015. Using fixed effects modeling, a series of twelve independent variables across four different categories (economic, political, demographic, and educational climate) were evaluated for predictive power on appropriations. Submodels where constructed on a set of the sample only including Research I institutions. A number of statistically significant effects on appropriations were found in the results and were largely consistent with findings in past research (Tandberg & Griffith, 2013). The largest statistically significant R[superscript 2] value was found in "need to pay" overall model. When focusing on this research project's focus evaluating factors influencing appropriations at Research I institutions both Income Disparity ([beta] = -161.951, p < 0.05) and Citizen Ideology ([beta] = 85.50, p < 0.01) stood out in the results with notable effect sizes. Personal income, citizen ideology, and tuition were significant in three of the four regression models. [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.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]