The Index of Emancipative Values: Measurement Model Misspecifications
This article reports evidence of misspecification of the measurement model for the index of emancipative values, a value construct used as a key explanatory variable in many important contributions to political science. It shows that the scale on which the index is measured is noninvariant across cultural zones and countries in the World Values Survey. In addition, it demonstrates that the current index composition mixes different value dimensions and their actual associations with various political outcomes, in particular the index of effective democracy. However, an analysis using a novel approximate Bayesian approach shows that at least one specific subdimension of emancipative values, known as pro-choice values, truly exists and may be validly measured and compared cross-nationally. The article also contributes to the recent discussion on whether emancipative values are a reflective or a formative construct by providing thought experiments and empirical evidence supporting the former interpretation.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.
This paper examines correlations between the genetic characteristics of human populations and their aggregate levels of tolerance and happiness. A metadata analysis of genetic polymorphisms supports the interpretation that a major cause of the systematic clustering of genetic characteristics may be climatic conditions linked with relatively high or low levels of parasite vulnerability. This led vulnerable populations to develop gene pools conducive to avoidance of strangers, while less-vulnerable populations developed gene pools linked with lower levels of avoidance. This, in turn, helped shape distinctive cultures and subsequent economic development. Survey evidence from 48 countries included in the World Values Survey suggests that a combination of cultural, economic and genetic factors has made some societies more tolerant of outsiders and more predisposed to accept gender equality than others. These relatively tolerant societies also tend to be happier, partly because tolerance creates a less stressful social environment. Though economic development tends to make all societies more tolerant and open to gender equality and even somewhat happier, these findings suggest that cross-national differences in how readily these changes are accepted, may reflect genetically-linked cultural differences.
Three dimensions of subordinate-supervisor relations (affective attachment, deference to supervisor, and personal-life inclusion) that had been found by Chen et al. (2009) to be characteristic of a guanxi relationship between subordinates and their supervisors in China were surveyed in Taiwan, Singapore and six non-Chinese cultural contexts. The affective attachment and deference subscales demonstrated full metric invariance whereas the personal-life inclusion subscale was found to have partial metric invariance across all eight samples. Structural equation modelling revealed that the affective attachment dimension had a cross-nationally invariant positive relationship to affective organizational commitment and a negative relationship to turnover intention. The deference to the supervisor dimension had invariant positive relationships with both affective and normative organizational commitment. The personal-life inclusion dimension was unrelated to all outcomes. These results indicate the relevance of aspects of guanxi to superior-subordinate relations in non-Chinese cultures. Studies of indigenous concepts can contribute to a broader understanding of organizational behavior.
This book provides an in-depth analysis of public opinion patterns among Muslims, particularly in the Arab world. On the basis of data from the World Values Survey, the Arab Barometer Project and the Arab Opinion Index, it compares the dynamics of Muslim opinion structures with global publics and arrives at social scientific predictions of value changes in the region. Using country factor scores from a variety of surveys, it also develops composite indices of support for democracy and a liberal society on a global level and in the Muslim world, and analyzes a multivariate model of opinion structures in the Arab world, based on over 40 variables from 12 countries in the Arab League and covering 67% of the total population of the Arab countries. While being optimistic about the general, long-term trend towards democracy and the resilience of Arab and Muslim civil society to Islamism, the book also highlights anti-Semitic trends in the region and discusses them in the larger context of xenophobia in traditional societies. In light of the current global confrontation with radical Islamism, this book provides vital material for policy planners, academics and think tanks alike.
This chapter focuses on one specific way of conducting analysis of measurement invariance of latent classes. We describe group-as-covariate approach, focus on unordered latent class models, explicate levels of invariance and procedures required to test them making strong links with factor analysis, and supplement it with a detailed example. In addition to the application provided by Siegers (this volume), we describe and show how to test for metric invariance of classifications. The chapter is accompnied by an empirical illustration with basic value latent classes in West&North vs. East Europe.
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.