Pamela Paxton

Is Social Capital Declining in the United States? A Multiple Indicator Assessment.

Despite a great deal of interest in a possible decline of social capital in the United States, scholars have not reached a consensus on the trend. This article improves upon previous research by providing a model of social capital that has explicit links to theories of social capital and that analyzes multiple indicators of social capital over a 20‐year period. The results do not consistently support Putnams claim of a decline in social capital, showing instead some decline in a general measure of social capital, a decline in trust in individuals, no general decline in trust in institutions, and no decline in associations.

Social Capital and Democracy: An Interdependent Relationship

Current democratic theory and recent international policy initiatives reveal an intense interest in the relationship between social capital and democracy. This interest is the most recent variant of a long theoretical tradition positing that a vigorous associational life is beneficial for the creation and maintenance of democracy. Despite the popularity of this view, little quantitative empirical evidence exists to support the relationship. Here, the relationship between social capital and democracy is tested using data from a large, quantitative, cross-national study. Two additional tests are introduced. First, the plausible reciprocal effect-from democracy to social capital-is included in models. Second, the potentially negative impact of some associations on democracy is considered. Using data from the World Values Survey and the Union of International Associations in a cross-lagged panel design, results show that social capital affects democracy and that democracy affects social capital. Additional tests demonstrate that associations that are connected to the larger community have a positive effect on democracy, while isolated associations have a negative effect. Theory relating social capital to democracy is drawn from the literature on civil society, political culture, and social movements.

Improper solutions in structural equation models: Causes, consequences, and strategies

In this article, the authors examine the most common type of improper solutions: zero or negative error variances. They address the causes of, consequences of, and strategies to handle these issues. Several hypotheses are evaluated using Monte Carlo simulation models, including two structural equation models with several misspecifications of each model. Results suggested several unique findings. First, increasing numbers of omitted paths in the measurement model were associated with decreasing numbers of improper solutions. Second, bias in the parameter estimates was higher in samples with improper solutions than in samples including only proper solutions. Third, investigations of the consequences of using constrained estimates in the presence of improper solutions indicated that inequality constraints helped some samples achieve convergence. Finally, the use of confidence intervals as well as four other proposed tests yielded similar results when testing whether the error variance was greater than or equal to zero.

Women's Political Representation: The Importance of Ideology

Womens low rate of participation at the highest levels of politics is an enduring problem in gender stratification. Previous cross-national research on women in national legislatures has stressed three explanations for differences in womens political representation: social structure, politics, and ideology. Despite strong theory suggesting the importance of ideology, it has not found support in previous cross-national statistical studies. But ideology has not been as well measured as structural and political factors. In this article, we demonstrate that gender ideology strongly affects the number of women in national legislatures. We do so by introducing a newly available measure of national gender ideology into a cross-national model of women in legislatures. We demonstrate that ideology, when measured more precisely, strongly predicts differences in womens political representation.

Association Memberships and Generalized Trust: A Multilevel Model across 31 Countries.

This paper presents a large-scale, comprehensive test of generalized trust across 31 nations. I pay particular attention to the theory and measurement of voluntary associations in promoting trust, hypothesizing that voluntary associations connected to other voluntary associations are more beneficial for the creation of generalized trust than associations isolated from other associations. The theory is tested with a multi-level, cross-national model, including both individual-level and country-level variables to predict the placement of trust. At the individual level, I find that membership in connected associations creates more trust than membership in isolated associations. At the national level, having more connected voluntary associations increases trust, while having more isolated associations decreases trust.

Monte Carlo Experiments: Design and Implementation.

The use of Monte Carlo simulations for the empirical assessment of statistical estimators is becoming more common in structural equation modeling research. Yet, there is little guidance for the researcher interested in using the technique. In this article we illustrate both the design and implementation of Monte Carlo simulations. We present 9 steps in planning and performing a Monte Carlo analysis: (1) developing a theoretically derived research question of interest, (2) creating a valid model, (3) designing specific experimental conditions, (4) choosing values of population parameters, (5) choosing an appropriate software package, (6) executing the simulations, (7) file storage, (8) troubleshooting and verification, and (9) summarizing results. Throughout the article, we use as a running example a Monte Carlo simulation that we performed to illustrate many of the relevant points with concrete information and detail.

How do We Learn to Trust? A Confirmatory Tetrad Analysis of the Sources of Generalized Trust:

In this paper we ask whether individuals decide that people are generally trustworthy or untrustworthy by extrapolating from their experiences in localized interactions or whether a more fixed predisposition drives assessments of trustworthiness. These two contrasting theoretical perspectives on generalized trust can be translated into empirically testable models and adjudicated using confirmatory tetrad analysis. This paper is among the first substantive applications of confirmatory tetrad analysis and illustrates an important advantage of this technique—the ability to distinguish between causal and reflective indicators of a latent variable. We find that individuals develop a generalized expectation of trustworthiness based on their experiences with different groups of people in localized settings. We demonstrate the robustness of our results across disparate samples and spatially dissimilar survey sites.

The International Women's Movement and Women's Political Representation, 1893–2003:

Womens political representation, once considered unacceptable by politicians and their publics, is now actively encouraged by powerful international actors. In this article, the authors ask how the growth and discourse of the international womens movement affected womens acquisition of political power over time. To answer this question, they use event history techniques to address womens political representation in more than 150 countries over 110 years (1893–2003). They consider multiple political outcomes: female suffrage, first female parliamentarian, and achievement of 10, 20, and 30 percent women in a countrys national legislature. The findings show that increasing global pressure for the inclusion of women in international politics and the changing discourse of the international womens movement help to explain womens acquisition of these multiple political outcomes. Furthermore, by adding these concepts to traditional domestic models of women in politics, the authors demonstrate that country-level political, social structural, and cultural characteristics cause countries to act in conjunction with, or in opposition to, these global pressures. This is the first time that research on women in politics has considered such a comprehensive list of countries, time points, and outcomes.

Pathways to power : The role of political parties in women's national political representation

The authors extend previous research on women’s participation in politics by examining the role of female elites in political parties in selecting and supporting women as political candidates. They hypothesize that political parties, in their role as gatekeepers, mediate the relationship between country‐level factors, such as women’s participation in the labor force, and political outcomes for women. The article focuses on three outcomes for women: the percentage of female political party leaders, the percentage of female candidates in a country, and the percentage of women elected. New cross‐national measures of women’s inclusion in political parties are developed and analyzed in a cross‐national, path‐analytic model of women in politics to find that (1) women’s position in party elites translates into gains for women as candidates only under proportional representation systems, (2) women’s position in party elites increases the likelihood that female candidates will be elected only in nonproportional representation systems, and (3) parties may be overly sensitive to the perceived liability of women as candidates, when in fact, women have success as candidates across all regions of the world.

Detection and determinants of bias in subjective measures

Many concepts in sociology are difficult or impossible to objectively measure. This limitation forces a reliance on subjective measures that typically contain both systematic and random measurement errors. Systematic errors, or biases, are the focus of this paper. Donald T. Campbell and Donald W. Fiskes multitrait-multimethod (MTMM) research design is the best known social scientific procedure for uncovering systematic errors, but the data requirements for classical MTMM designs are too demanding for many areas of sociology in which secondary data are the norm. The authors show that the benefits of the MTMM design are available under more relaxed conditions. In addition, they illustrate how researchers can examine the determinants of systematic errors and gain insights into the potential for confounding or spurious effects caused by systematic errors. They demonstrate the usefulness of these methods using the subjective measures of liberal democracy used in several recent «American Sociological Review» papers and provide additional examples, including measures of the reputational quality of graduate programs and job evaluations for comparable-worth investigations. They conclude that sociologists can do far more to understand the systematic error present in their subjective variables