I am Jonathan Jackson, a freshly minted PhD from the Department of Political Science at the University of Nebraska-Lincoln specializing in American and comparative politics. I am currently an instructor for Louisburg College.
I have nearly a decade of political science teaching experience working with students from diverse backgrounds, including nontraditional students and students for whom English is a foreign language. I have worked with various course management programs to teach online and hybrid classes, as well as a tool to support my face-to-face classes.
My research is primarily on political behavior, with a focus on voting behavior broadly and the impact of social influences on voting behavior in particular. I am also interested in the impact of electoral systems on the behavior of voters and leaders as well as heuristics in down-ballot statewide elections.
My dissertation work was on how political discussion networks affect voting behavior in nomination contests, while also looking at the impact of ideological vote share (and, by implication, ideological crowding) and campaign effects. I conducted several months of field work and longitudinal interviews among Republican voters as part of a case study in Fremont County, Iowa ahead of the 2016 presidential caucus. By limiting my research to a relatively high proportion of caucus voters in a single rural county, I was also able to make a methodological contribution by studying dyadic network analysis in addition to egocentric network analysis.
An emergent finding of my dissertation research was that different groups of identifiable local Republican political elites (consistent party activists, party activists who only participate during election periods, and local elected officials) vary in their expressed conservatism on social issues, belief in the efficacy of political discussion, and the size of their political discussion networks.
I am also working on several additional projects, including a model of factors beyond "partisan tides" that predict the results of down-ballot statewide and an experiment testing perceptions of interest group expertise as heuristic sources cues in down-ballot statewide races.
ORCID ID: 0000-0001-8328-7534
I have nearly a decade of political science teaching experience working with students from diverse backgrounds, including nontraditional students and students for whom English is a foreign language. I have worked with various course management programs to teach online and hybrid classes, as well as a tool to support my face-to-face classes.
My research is primarily on political behavior, with a focus on voting behavior broadly and the impact of social influences on voting behavior in particular. I am also interested in the impact of electoral systems on the behavior of voters and leaders as well as heuristics in down-ballot statewide elections.
My dissertation work was on how political discussion networks affect voting behavior in nomination contests, while also looking at the impact of ideological vote share (and, by implication, ideological crowding) and campaign effects. I conducted several months of field work and longitudinal interviews among Republican voters as part of a case study in Fremont County, Iowa ahead of the 2016 presidential caucus. By limiting my research to a relatively high proportion of caucus voters in a single rural county, I was also able to make a methodological contribution by studying dyadic network analysis in addition to egocentric network analysis.
An emergent finding of my dissertation research was that different groups of identifiable local Republican political elites (consistent party activists, party activists who only participate during election periods, and local elected officials) vary in their expressed conservatism on social issues, belief in the efficacy of political discussion, and the size of their political discussion networks.
I am also working on several additional projects, including a model of factors beyond "partisan tides" that predict the results of down-ballot statewide and an experiment testing perceptions of interest group expertise as heuristic sources cues in down-ballot statewide races.
ORCID ID: 0000-0001-8328-7534