The results of the interrogative psycholinguistic experiment described in this article is part of a broader research of how soci-ocultural knowledge influences communication in the Internet discussions by readers of American press. The experiment allows obtaining a complex model of positively/negatively evaluated events in the American society, paying special attention to the value-evaluation component. This model can further be a basis for explanation of the communicative strategies of argumentation and manipulation used in verbal description of events. The type of sociocultural mental structures described in the article is viewed as a dynamic cognitive gestalt that can be potentially split into a number of parameters, but is not reducible to their sum, which is characterized by both individual existence in the mind of a native speaker and distributed existence in a sociocultural community as an abstract social invariant. The article discusses advantages of psycholinguistic approach to modeling the fragments of this background knowledge compared to using exclusively introspective text analysis, as it allows to separate methodologically the research of mental structures and particular instances of verbal communication that are based on those structures and gives an opportunity to avoid the vicious circle of studying communicative strategies used in the text exclusively modeled from the same text material.
A joint research project carried out by an interdisciplinary group of Russian and Swedish linguists, sociologists and educators-psychologists (the Swedish Institute grant), besides solving pragmatic tasks of finding out relative quantitative-qualitative specificity of national cognitive representations of values, first of all, had methodological goals. They were to check the efficiency of the linguistic methods developed in this study (and, thus, to prove the theoretical ideas that served the basis for it) of getting factual data that allow reconstructing and comparing of the corresponding areas of cognitive representations.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.