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Since 1990, the standard statistical approach for studying state policy adoption has been an event history analysis using binary link models, such as logit or probit. In this article, we evaluate this logit-probit approach & consider some alternative strategies for state policy adoption research. In particular, we discuss the Cox model, which avoids the need to parameterize the baseline hazard function &, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable & competing events, events that the logit-probit approach cannot be used to model. Tables, Figures, References. Adapted from the source document.

Multilevel data are structures that consist of multiple units of analysis, one nested within the other. Such data are becoming quite common in political science & provide numerous opportunities for theory testing & development. Unfortunately, this type of data typically generates a number of statistical problems, of which clustering is particularly important. To exploit the opportunities offered by multilevel data, & to solve the statistical problems inherent in them, special statistical techniques are required. In this article, we focus on a technique that has become popular in educational statistics & sociology -- multilevel analysis. In multilevel analysis, researchers build models that capture the layered structure of multilevel data, & determine how layers interact & impact a dependent variable of interest. Our objective in this article is to introduce the logic & statistical theory behind multilevel models, to illustrate how such models can be applied in political science, & to call attention to some of the pitfalls in multilevel analysis. 5 Tables, 96 References. Adapted from the source document.

Cover; Half-title; Title; Copyright; Dedication; Contents; Figures; Tables; Preface; CHAPTER 1 Event History and Social Science; CHAPTER 2 The Logic of Event History Analysis; CHAPTER 3 Parametric Models for Single-Spell Duration Data; CHAPTER 4 The Cox Proportional Hazards Model; CHAPTER 5 Models for Discrete Data; CHAPTER 6 Issues in Model Selection; CHAPTER 7 Inclusion of Time-Varying Covariates; CHAPTER 8 Diagnostic Methods for the Event History Model; CHAPTER 9 Some Modeling Strategies for Unobserved Heterogeneity; CHAPTER 10 Models for Multiple Events.

AbstractNegative elite and news media attention to Latino‐relevant issues, particularly undocumented immigration, has dramatically increased in recent years, potentially stigmatizing attributes of Latinos such as immigration status and language use. Concomitantly, immigration policy changes were leading to widespread arrests and deportation of many Latinos. Herein, we ask two questions: First, to what extent do Latinos perceive and experience discrimination? Second, to what extent do immigration status, generational status, and language use moderate beliefs about discrimination? Using Pew National Survey of Latinos data, we find that Latino beliefs about the problem of discrimination is a decreasing function of "proximity" to the "canonical immigrant"—defined here as first‐generation immigrants who are Spanish‐language dominant. Further, we demonstrate that reported rates of victimization due to discrimination exhibit no clear pattern and are flat over time. We conclude by demonstrating that discrimination beliefs have significant implications for systemic trust, anxiety, and policy preferences.

This article asks a new question: what are the processes that maintain rivalries? The authors argue that rivalries are maintained through the failure of realist strategies and conflict management ones. They focus on stalemate outcomes as both a signal that militarized strategies for dealing with conflict have not succeeded and as reasons for the countries to continue the rivalry. They explore the process of rivalry maintenance, largely from the perspective of the punctuated equilibrium model of rivalries, and examine 1,166 rivalries across the period from 1816 to 1992. They contrast their approach with that of the "repeated conflicts" literature, which only examines the impact of the previous dispute on recurring conflict. The authors find that the most recent conflict does matter, and the longer term history of the rivalry is more important. They also find that the impacts of various factors (e.g., democracy) change over the course of the rivalry.