Suchergebnisse

Graphical representation of the dynamic interactions among the elements of a system has found wide application in business, government, & the "system sciences." Although system representation is now ad hoc, it may be possible to develop a standard theoretical presentation in terms of the interaction & feedback of biological, biosocial, cultural, & situational determinants of behavior. The resulting framework must, of course, be modified for each problem addressed, yet the framework forces the analysis to be dynamic as well as static, to avoid overemphasis on factors of interest to a particular investigator, & to show more precisely the effect of adopting alternative social theories. Examining the applicability of this proposed framework to a variety of problems suggests that this approach will assist in the transfer of information between applied & theoretical studies & in the cumulation of social science knowledge. 1 Table, 8 Figures. AA.

Instrumental variable (IV) methods provide a powerful but underutilized tool to address many common problems with observational sociological data. Key to their successful use is having IVs that are uncorrelated with an equation's disturbance and that are sufficiently strongly related to the problematic endogenous covariates. This review briefly defines IVs, summarizes their origins, and describes their use in multiple regression, simultaneous equation models, factor analysis, latent variable structural equation models, and limited dependent variable models. It defines and contrasts three methods of selecting IVs: auxiliary instrumental variable, model implied instrumental variable, and randomized instrumental variable. It provides overidentification tests and weak IV diagnostics as methods to evaluate the quality of IVs. I review the use of IVs in models that assume heterogeneous causal effects. Another section summarizes the use of IVs in contemporary sociological publications. The conclusion suggests ways to improve the use of IVs and suggests that there are many areas in which IVs could be profitably used in sociological research.

"Mechanisms are very much a part of social life. For example, we can see that inequality has tended to increase over time, and that cities can become segregated. But how do such mechanisms work? Analytical sociology is an influential approach to sociology which holds that explanations of social phenomena should focus on the social mechanisms that bring them about. This book evaluates the major features of this approach, focusing on the significance of the notion of mechanism. Leading scholars seek to answer a number of questions in order to explore all the relevant dimensions of mechanism based explanations in social sciences. How do social mechanisms link together individual actions and social environments? What is the role of multi agent modeling in the conceptualization of mechanisms? Does the notion of mechanism solve the problem of relevance in social sciences explanations?"--

'Social-science research has been transformed over the last generation by the advent and expansion of the general social surveys (GSS). The GSS model of research has created a infrastructure for the social sciences designed to address the interests and research agenda of scholars and their students; cover a wide range of topics; utilize reliable, valid, and generalizable measurement; and provide data both across nations and across time. This design in turn has generated widespread analysis and notably contributed to our understanding of social processes and societal change.' (author's abstract)|