Voting Characteristics of Individuals With Traumatic Brain Injury

Voting is the foundation of democracy. Limited data exist about voting characteristics of individuals with neurologic impairment including those living with a traumatic brain injury (TBI). To statistically examine voting characteristics using a convenience sample of registered voters with TBI during elections held in Mecklenburg County, North Carolina—2007, 2008. Data were collected on 51 participants with TBI during May 2007, 2008 general, and 2008 Presidential Election. (i) There was a significant difference between the Competence Assessment Tool for Voting (CAT‐V) total score of participants with TBI who voted and the CAT‐V total score of participants with TBI who did not vote and the CAT‐V total score predicted voting; (ii) the age of the participants with TBI was predictive of voting; and (iii) being married was inversely related to voting. We find that there is variation in voting even among this small sample interviewed for the present study, and that the variation is predictable. Those with the highest CAT‐Vs are most likely to vote. In addition, we find that traditional predictors of voting simply are not predictors among this TBI group, and even one, whether the person is married, has a negative effect on voting

Voting as a Signaling Device

In this paper, citizens vote in order to influence the election outcome and in order to signal their unobserved characteristics to others. The model is one of rational voting and generates the following predictions: (i) The paradox of not voting does not arise, because the benefit of voting does not vanish with population size. (ii) Turnout in elections is positively related to the importance of social interactions. (iii) Voting may exhibit bandwagon effects and small changes in the electoral incentives may generate large changes in turnout due to signaling effects. (iv) Signaling incentives increase the sensitivity of turnout to voting incentives in communities with low opportunity cost of social interaction, while the opposite is true for communities with high cost of social interaction. Therefore, the model predicts less volatile turnout for the latter type of communities

Volunteer Engagement in Housing Co-Operatives – Civil Society “en miniature”

Housing co‐operatives host miniature versions of civil society. They vitalise a social system that is shaped by formal regulations, economic functions, and a population of private housing units. The study examines factors that influence a person’s willingness to volunteer in civic society using a multilevel analysis based on survey data from 32 co‐operatives and 1263 members. To do so, the social exchange theory is extended to include the member value approach, which connects social engagement with the fulfillment of a range of needs, thus going beyond a narrow economic cost benefit analysis. Study results show that volunteer engagement largely depends on the degree to which members can expect to experience their own achievement. This finding provides an explanation for significant differences in the engagement levels beyond factors that have already been determined (age, level of education). On an organizational level, the study reveals that the age of an organization influences volunteer engagement, but that the size and the degree of professionalization do not have an effect on it