Born in 1915, Harold Guetzkow might have been a child of the "Roaring Twenties." But in fact Professor Guetzkow is much more a "child of the depression" (to use his own term). A complication of essays by scholars who took time and energy to pen their work in honor of Harold Guetzkow. The chapters that follow represent a real contribution to the study of international relations and document the influence of Harold Guetzkow in catalyzing that study over the last thirty years.

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with da...

Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including mapping data on spatial units, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regress...

Why does the academic study of international relations have limited impact on the policy community? When research results are inconsistent, inconclusive, and contradictory, a lack of scholarly consensus discourages policy makers, the business community, and other citizens from trusting findings and conclusions from IR research. In New Directions for International Relations, Alex Mintz and Bruce Russett identify differences in methods of analysis as one cause of these problematic r...