The resurgence of interest in the effect of neighborhood contexts on health outcomes,
motivated by advances in social epidemiology, multilevel theories and sophisticated …

A discussion of the case study method which develops an integrative framework for causal
inference in small-n research. This framework is applied to research design tasks such as …

Bayesian methods are increasingly being used in the social sciences, as the problems
encountered lend themselves so naturally to the subjective qualities of Bayesian …

Research on the voters of the extreme right in Western Europe has become a minor industry,
but relatively little attention has been paid to the twin question of why support for these …

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 …

West European right‐wing extremist parties have received a great deal of attention over the
past two decades due to their electoral success. What has received less coverage, however …

Regression Analysis: A Constructive Critique identifies a wide variety of problems with
regression analysis as it is commonly used and then provides a number of ways in which …

To what extent do international factors affect domestic conflict processes? How do external
conditions affect the state's repressive capabilities and the opportunities for opposition …

This article raises concerns about the advantages of using statistical significance tests in
research assessments as has recently been suggested in the debate about proper …

Social action is interaction that induces interpreta thus builds continuing relations. Thus,
discourse is th social networks. While this observation is not new, it trigger a coalescence …