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Social science research notes that racial context is related to attitudes toward social issues; however, surprisingly little research has examined how the impact of racial context on attitudes is activated. The aim of this article is to examine racial context "effects" for policy preferences, but to do so within a broader perspective. This article extends the literature on racial attitudes by considering a conditional relationship between racial and ethnic context and socioeconomic context and expanding racial context to include multiple racial and ethnic groups. The findings indicate that racial and ethnic contextual effects do emerge; however, these effects are conditional on the socioeconomic context in which an individual resides. Specifically, high socioeconomic contexts and highly diverse contexts are related to higher levels of support for racial social issues; however, contexts characterized by low socioeconomic context and high racial and ethnic diversity are associated with lower levels of support for such issues.

AbstractSince 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 and 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 and, therefore, is often preferable to the logit-probit approach. Furthermore, we demonstrate how the Cox model can be modified to deal effectively with repeatable and competing events, events that the logit-probit approach cannot be used to model.