Costa Rica, El Salvador, Guatemala, Honduras, and Nicaragua have all experienced significant social, economic, and political changes during the 1960s, 1970s, and 1980s. Guatemala, El Salvador, and Nicaragua experienced violent national revolts, while Costa Rica and Honduras did not. I tested a process theory that endeavored to account for the origins and intensity of national revolts in Central America. The analysis was formulated in a most-similar-systems (MSS) design. Pooled cross-sectional time-series regression techniques were employed in order to conform with the MSS variation-finding strategy. The findings supported the conclusion that armed attacks against the state were not random occurrences, but rather, that they may have arisen in response to certain economic and political conditions.

This study develops a model of macroeconomic and political determinants of public support for European integration. The research is conducted on pooled cross-sectional time-series data from five European Union member states between 1978 and 1994. The method used in this analysis is a Generalized Least Squares - Autoregressive Moving Average approach. The factors hypothesized to determine a macroeconomic explanation of public support for integration are inflation, unemployment, and economic growth. The effect of the major economic reform in the 1980s, the Single European Act, is hypothesized to act as a positive permanent intervention. The other determinants of public support are the temporary interventions of European Parliament elections and the permanent intervention of the Maastricht Treaty in 1992. These are hypothesized to exert a negative effect. In a fully specified model all variables except economic growth and European Parliament elections demonstrate statistical significance at the 0.10 level or better.

Studies of political culture have often focused on the impact of political institutions on political culture in a society. The scientific community has accepted the position that institutions shape beliefs and attitudes among the citizens towards the system they live in. This study tests this hypothesis by using survey data collected during the fall of 1990 in the United States, Great Britain, Italy, West, and East Germany.

In order to explain presidential decisions to use force, a model is developed that incorporates three distinct decision-making environments. The results indicate the president is responsive not only to domestic and international environments, but also to the resource evaluation environment. The evidence here demonstrates that while these two environments are important the president can't use force arbitrarily; rather, his evaluation of resources available for the use of force can limit his ability to engage the military during crisis situations.

Ordinary Least Squares (OLS) regression analysis is applied to a cross-national data set to test two hypotheses concerning governments' hard-line response against terrorism: do hard-line responses cause more damage vis a vis event outcome and is the hard-line approach a deterrent? Six national factors are included in this analysis: economic development, economic growth rate, democratic development, leftist regime type, military regime type and British colonial legacy. Only the level of economic development, economic growth rate and leftist regime type demonstrated statistically significant relationships with the dependent variable "event frequency." Government response strength demonstrated a strong statistically significant relationship with event outcome, however, its relationship with event frequency was statistically insignificant.