The mediating role of distributive justice perceptions in the relationship between emotion regulation and emotional exhaustion in healthcare workers

This research proposes that the use of emotion regulation strategies by employees in the service professions determines their perceptions of fairness in interactions with clients, which in turn influences their emotional exhaustion. Based on social exchange theory and models of self-control, the investigation tested whether: (1) the type of emotion regulation strategy that employees use to meet the emotional demands of their job role partially influences their perceptions of distributive justice (i.e. that clients respond to their efforts), and (2) these perceptions mediate the relationship between emotion regulation and emotional exhaustion. To test this, a longitudinal field survey study of a sample of primary care workers in Spain (general practitioners and nurses; N?=?233) was conducted. Findings showed that the relationship between emotion regulation and emotional exhaustion was mediated by perceptions of distributive justice. A bootstrapping mediational analysis showed a significant indirect effect of surface acting on emotional exhaustion through distributive justice when inter-individual differences at T1 and when intra-individual changes between T1 and T2 were considered. Deep acting indirect effects were not significant for intra-individual changes. The findings indicate that employees’ perception of distributive justice has implications for understanding the impact of emotion regulation on well-being.     

Spatial planning in small islands: the need to discuss the concept of ecological structure

The concepts of green infrastructure and ecological structure (ES) are current topics of discussion among the scientific community and spatial planners. ES is mandatory in Portugal in land-planning, such as municipal master plans, but no consensus has been reached on how to implement it. The concept has not yet been implemented in the Azores, a Portuguese autonomous region, even though the Region has the responsibility of adapting legislation or accomplishing the Portuguese legislature. This study presents a critical analysis of the available literature about ES and proposes a conceptual framework to define ES for small islands, which have unique characteristics, focusing on the Azorean archipelago. The conceptual framework meets the requirements of local legislation and uses an ecological function approach that is increasingly advocated in recent European recommendations. This framework is presented as a strategic and flexible way to identify both the important elements (recognized in current legislation) in a territory and the remaining potential of the territory. The framework also supports decision-making by allowing the identification of integrated solutions, decreasing trade-offs as much as possible and reconciling the needs of nature conservation and socioeconomic development. This framework could be applied to other small islands and other territories, with local adaptations.     

Single‐ and Multiple‐Informant Research Designs to Examine the Human Resource Management−Performance Relationship

During the last decades, many empirical studies have analysed the relationship between human resource management and firm performance. Despite the call for multiple‐rater designs, a relatively large number of researchers still rely on survey responses provided by a single informant in each organization. Single‐informant designs suffer from a number of problems, especially when the responses provided by different types of raters across firms are pooled into a single dataset prior to assessing their equivalence across raters. Using an illustration of the relationship between high performance work systems and firm performance, in this paper we observe that responses provided by managers holding different positions (human resource managers and sales managers) differ significantly and therefore pooling their responses into a single dataset may result in confusing conclusions. Furthermore, we demonstrate that differences arise in the estimated parameters when a multiple‐key‐informant approach, compared to a single‐informant design, is adopted. For these reasons, data collection using multiple key informants is recommended, based on the assumption that some raters in the firm will be more knowledgeable about the variables of interest than others.     

Collinearity diagnostic applied in ridge estimation through the variance inflation factor

The variance inflation factor (VIF) is used to detect the presence of linear relationships between two or more independent variables (i.e. collinearity) in the multiple linear regression model. However, the traditionally used VIF definitions encounter some problems when extended to the case of the ridge estimation (RE). This paper presents an extension of the VIF in RE by providing two alternative VIF expressions that overcome these problems in the general case. Some characteristics of these expressions are also presented and compared with the traditional expression. The results are illustrated with an economic example in the case of three independent variables and with a Monte Carlo simulation for the general case.     

Max–min optimal discriminating designs for several statistical models

In the literature, different optimality criteria have been considered for model identification. Most of the proposals assume the normal distribution for the response variable and thus they provide optimality criteria for discriminating between regression models. In this paper, a max–min approach is followed to discriminate among competing statistical models (i.e., probability distribution families). More specifically, k different statistical models (plausible for the data) are embedded in a more general model, which includes them as particular cases. The proposed optimal design maximizes the minimum KL-efficiency to discriminate between each rival model and the extended one. An equivalence theorem is proved and an algorithm is derived from it, which is useful to compute max–min KL-efficiency designs. Finally, the algorithm is run on two illustrative examples.     

Spatial–temporal modellization of the $$\hbox {NO}_{2}$$ concentration data through geostatistical tools

The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of \(\hbox {NO}_{2}\) levels, by using geostatistical approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis was carried out on daily values of the target variable, daily measured in Portugal from 2004 to 2012, which led to identify three influential covariates (type of site, environment and month of measurement). In a second step, appropriate geostatistical tools were applied to model the trend and the space–time variability, thus enabling us to use the kriging techniques for prediction, without requiring data from a dense monitoring network. This methodology has valuable applications, as it can provide accurate assessment of the nitrogen dioxide concentrations at sites where either data have been lost or there is no monitoring station nearby.     

Trends in the Quantiles of the Life Table Survivorship Function

We offer a new approach for modeling past trends in the quantiles of the life table survivorship function. Trends in the quantiles are estimated, and the extent to which the observed patterns fit the unit root hypothesis or, alternatively, an innovative outlier model, are conducted. Then a factor model is applied to the detrended data, and it is used to construct quantile cycles. We enrich the ongoing discussion about human longevity extension by calculating specific improvements in the distribution of the survivorship function, across its full range, and not only at the central-age ranges. To illustrate our proposal, we use data for the UK from 1922 to 2013. We find that there is no sign in the data of any reduction in the pace of longevity extension during the last decades.     

Assessing ‘empowerment’ as social development: goal and process

ABSTRACT

Empowerment is a concept widely used in several policy documents and is presented, in social work and social care professional universes, as an operative process to reduce vulnerability and to increase the power, or capabilities, of individuals and groups to make choices and to transform these into actions and results. However, to move beyond rhetoric and paternalistic practices, we need to understand what empowerment really means and implies in different contexts, and especially, how to evaluate what has changed (outcomes) or is changing (processes), both on an individual and a collective level.     

Food Well-Being in Older Adults: Effects of a Universal Non-contributory Pension in Mexico

Social Indicators Research - One of the few universal programs in Latin America is the Food Pension for Adults Older than 68 (PAAM) of Mexico City, which aims to reduce food insecurity while...     

Exact Goodness‐of‐Fit Testing for the Ising Model

The Ising model is one of the simplest and most famous models of interacting systems. It was originally proposed to model ferromagnetic interactions in statistical physics and is now widely used to model spatial processes in many areas such as ecology, sociology, and genetics, usually without testing its goodness of fit. Here, we propose various test statistics and an exact goodness‐of‐fit test for the finite‐lattice Ising model. The theory of Markov bases has been developed in algebraic statistics for exact goodness‐of‐fit testing using a Monte Carlo approach. However, finding a Markov basis is often computationally intractable. Thus, we develop a Monte Carlo method for exact goodness‐of‐fit testing for the Ising model that avoids computing a Markov basis and also leads to a better connectivity of the Markov chain and hence to a faster convergence. We show how this method can be applied to analyze the spatial organization of receptors on the cell membrane.