Designed for Patience: The Significance of Internal Factors in the Ukrainian and Belarusian Transitions

This paper focuses on Belarus in order to find explanation as to why Alexander Lukashenko was able remain the authoritarian leader of Belarus, while in Ukraine the position of the political elite had proved less stable and collapsed in 2004. We seek to determine whether the internal factors (macroeconomic conditions, standard of living, the oppressive nature of the political system) play a significant role in the operation of the domino effect. This article emphasises the determining role of immanent internal factors, thus the political stability in Belarus can be explained by the role of the suppressing political regime, the hindrance of democratic rights and the relatively good living conditions that followed the transformational recession. Whilst in Ukraine, the markedly different circumstances brought forth the success of the Orange Revolution.      

The relationship between leisure and life satisfaction: application of activity and need theory

The purpose of this study was to better understand the complex relationship between leisure and life satisfaction. Components of two distinct, but potentially integrative, theoretical frameworks (i.e., activity theory and need theory) predicting the relationship between leisure and life satisfaction were tested with a sample of residents from a Midwestern community (n = 633). Findings provided support for both theoretical perspectives, but stronger relationships were found between satisfied needs than with participated activities. In spite of these findings, the various inconsistencies within the two theoretical frameworks suggest that future research is needed.     

SPC Study of a Brewing Process

The process of brewing is a complex one, in which several biological and chemical reactions occur that involve many variables and their interactions. This pilot study is an attempt to understand and to control the chemical and biological nature of the process of 'beer cooking'. Through data collection and analysis the measurement system was initially evaluated and improved to allow the assessment of the stability of the analysed response variable: wort's F (F is a fictitious name for this variable due to confidentiality). Next, a deeper analysis was carried out to characterize, improve and control the behaviour of this factor by means of confidence intervals and several regression analyses. The way to control F is by adding a certain amount of element X according to a previously empirically developed table. After the analyses, this table was questioned and a new one was developed. This study is the outcome of the willingness of a group of people in this company to incorporate into its traditional and, at some stages, artisan way of producing beer, the utilization of statistical techniques for analysing and improving its processes and products.     

Goodness-of-fit tests for parametric models in censored regression

The authors propose a goodness-of-fit test for parametric regression models when the response variable is right-censored. Their test compares an estimation of the error distribution based on parametric residuals to another estimation relying on nonparametric residuals. They call on a bootstrap mechanism in order to approximate the critical values of tests based on Kolmogorov-Smirnov and Cramér-von Mises type statistics. They also present the results of Monte Carlo simulations and use data from a study about quasars to illustrate their work.     

Paternal domination and the mafia state under post-communism

This review essay discusses Bálint Magyar’s most recent book, Stubborn Structures: Conceptualizing Post-communist Regimes (Budapest: CEU Press 2019). Bálint Magyar first published in Hungarian in 2015 (published in English by CEU Press in 2016) a path-breaking book on The Post-Communist Mafia State: The Case of Hungary. This was the first major attempt to move beyond political controversies and offer a systematic critique of post-communist states. The book also went beyond the usual accusation of “corruption.” Magyar’s key point is that—at least in Hungary—a mafia style of “upper-world” was created, with a “godfather” at the top of it and an “adopted family” below it. This fascinating idea was followed by edited books that included contribution by other scholars. The latest such book is Magyar’s Stubborn Structures: Conceptualizing Post-communist Regimes (CEU Press 2019), which includes articles applying the “mafia state theory” to a great variety of post-communist countries.

     

Vertical and Horizontal Inequality in Ecuador: The Lack of Sustainability

We analyse the evolution of vertical and horizontal inequality in Ecuador in the long-run (1990–2016), as well as during and after the recent commodities boom (2005–2014). Using data from censuses, living standard measurement surveys, and employment surveys we show that Ecuador has made significant progress in reducing inequality, particularly since 2000. However, inequality has not decreased further since 2011. We argue that a key factor behind the reduction and ensuing stagnation of inequality is the dynamic of oil revenues, particularly regarding its effect on economic growth and on the financing of redistributive policies. Using the decomposition of the Gini coefficient by income source proposed by Lerman and Yitzhaki (Rev Econ Stat 67:151–156, 1985) we show that during the last decade there has been a shift away from market sources towards sources of income derived from government expenditures. Following the end of the commodities boom, this process is no longer sustainable. Indeed, we show that the underlying causes that led to the change in the sources of income started long before the end of the boom. The temporary shock following the 2008 financial crisis already affected the structure of Ecuador’s public finances and its current account. And, since around 2011, its institutions and labour market indicators have also deteriorated. We conclude that sustainable inequality reductions require improving the current institutions.

     

The Role of Neighborhood in the Analysis of Spatial Economic Inequality

Social Indicators Research - Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial...     

Prompts,Not Questions: Four Techniques for Crafting Better Interview Protocols

Qualitative Sociology - We offer effective ways to write interview protocol “prompts” that are generative of the most critical types of information researchers wish to learn from...     

Why die for my sibling? The positive association between identity fusion and imagined loss with endorsement of self-sacrifice / ¿Por qué morir por un hermano? La asociación positiva entre la fusión de identidad y la pérdida imaginada con la disposición al autosacrificio

Abstract

Identity fusion — a visceral feeling of connection with a group — is a powerful predictor of willingness to engage in extreme pro-group behaviour. Here we propose that identity fusion also reinforces willingness to fight and die for one’s siblings, and we explore one of the underlying mechanisms producing this effect. We additionally controlled for a powerful predictor of family investment, perceived psychological similarity with the sibling. Our study shows that fusion with a sibling, but not perceived similarity, is positively associated with willingness to fight and die for the sibling. This relation is mediated by the imagined personal consequences of losing one’s sibling. This research extends previous work on fusion with groups to pairs of individuals and identifies a new mediator of the effect of fusion on willingness to fight and die for others. Overall, these results suggest that identity fusion might contribute towards explaining self-sacrifice among genetically related individuals as predicted by the theory of kin selection.     

CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables

Relationships between species and their environment are a key component to understand ecological communities. Usually, this kind of data are repeated over time or space for communities and their environment, which leads to a sequence of pairs of ecological tables, i.e. multi-way matrices. This work proposes a new method which is a combined approach of STATICO and Tucker3 techniques and deals to the problem of describing not only the stable part of the dynamics of structure–function relationships between communities and their environment (in different locations and/or at different times), but also the interactions and changes associated with the ecosystems’ dynamics. At the same time, emphasis is given to the comparison with the STATICO method on the same (real) data set, where advantages and drawbacks are explored and discussed. Thus, this study produces a general methodological framework and develops a new technique to facilitate the use of these practices by researchers. Furthermore, from this first approach with estuarine environmental data one of the major advantages of modeling ecological data sets with the CO-TUCKER model is the gain in interpretability.