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Twenty percent of American adults claimed no religious preference in 2012, compared to 7 percent twenty-five years earlier. Previous research identified a political backlash against the religious right and generational change as major factors in explaining the trend. That research found that religious beliefs had not changed, ruling out secularization as a cause. In this paper we employ new data and more powerful analytical tools to: (1) update the time series, (2) present further evidence of correlations between political backlash, generational succession, and religious identification, (3) show how valuing personal autonomy generally and autonomy in the sphere of sex and drugs specifically explain generational differences, and (4) use GSS panel data to show that the causal direction in the rise of the "Nones" likely runs from political identity as a liberal or conservative to religious identity, reversing a long-standing convention in social science research. Our new analysis joins the threads of earlier explanations into a general account of how political conflict over cultural issues spurred an increase in non-affiliation.

In this article, we assess trends in residential segregation in the United States from 1960 to 2000 along several dimensions of race and ethnicity, class, and life cycle and present a method for attributing segregation to nested geographic levels. We measured segregation for metropolitan America using the Theil index, which is additively decomposed into contributions of regional, metropolitan, center city-suburban, place, and tract segregation. This procedure distinguishes whether groups live apart because members cluster in different neighborhoods, communities, metropolitan areas, or regions. Substantively, we found that the segregation of blacks decreased considerably after 1960 largely because neighborhoods became more integrated, but the foreign born became more segregated largely because they concentrated in particular metropolitan areas. Class segregation increased between 1970 and 1990 mainly because the affluent increasingly clustered in specific metropolitan areas and in specific municipalities within metropolitan areas. The unmarried increasingly congregated in center cities. The main purpose of this article is to describe and illustrate this multilevel approach to studying segregation.

The application of network analysis to certain issues in sociology requires measurement of individuals' personal networks. These issues generally involve the impact of structural locations on persons' social lives. One such case is the Northern California Community Study of the personal consequences of residential environments. This article describes and illustrates the methodology we have developed for studying personal networks by mass survey. It reviews the conceptual problems in network definition and measurement, assesses earlier efforts, presents our technique, and illustrates its applications.