On the performance of two clustering methods for spatial functional data

The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by the trace-variogram function is analyzed. The main features of both procedures is shown through a simulation study based on a variety of practical scenarios easily encountered in the analysis of spatial functional data. An application on real data based on salinity curves is also presented.     

Sensitivity analysis and choosing between alternative polytomous IRT models using Bayesian model comparison criteria

Polytomous Item Response Theory (IRT) models are used by specialists to score assessments and questionnaires that have items with multiple response categories. In this article, we study the performance of five model comparison criteria for comparing fit of the graded response and generalized partial credit models using the same dataset when the choice between the two is unclear. Simulation study is conducted to analyze the sensitivity of priors and compare the performance of the criteria using the No-U-Turn Sampler algorithm, under a Bayesian approach. The results were used to select a model for an application in mental health data.     

How to Do Things With Texts: A Functional Account of Reading Comprehension

We offer an account of reading comprehension that we believe will help clarify some common conceptual confusions in the relevant literature, as well as contribute to existing functional accounts. We argue that defining texts qua texts as stimulus classes, on the one hand, and equating “comprehension” with behavior (covert or otherwise), on the other, are not useful conceptual moves, especially when behavioral settings go beyond basic literacy skills acquisition. We then analyze the structure of the contingencies that usually evoke talk of “comprehension” using techniques from analytic philosophy. We show how keeping the results of this analysis in mind can help avoid the conceptual bafflement that often arises, even among behavior analysts, when defining or assessing behavioral phenomena related to reading comprehension. Using two contrasting cases (legal texts and stories), we argue that what counts as comprehension depends, not peripherally but crucially, on the shared social practices of which texts are a part. Finally, we propose a new framework for classifying reader–text contingencies by combining two dimensions: openness of setting and embeddedness of reinforcement.     

Bayesian analysis of the generalized gamma distribution using non-informative priors

The Generalized gamma (GG) distribution plays an important role in statistical analysis. For this distribution, we derive non-informative priors using formal rules, such as Jeffreys prior, maximal data information prior and reference priors. We have shown that these most popular formal rules with natural ordering of parameters, lead to priors with improper posteriors. This problem is overcome by considering a prior averaging approach discussed in Berger et al. [Overall objective priors. Bayesian Analysis. 2015;10(1):189–221]. The obtained hybrid Jeffreys-reference prior is invariant under one-to-one transformations and yields a proper posterior distribution. We obtained good frequentist properties of the proposed prior using a detailed simulation study. Finally, an analysis of the maximum annual discharge of the river Rhine at Lobith is presented.     

ABC Shadow algorithm: a tool for statistical analysis of spatial patterns

This paper presents an original ABC algorithm, ABC Shadow, that can be applied to sample posterior densities that are continuously differentiable. The proposed algorithm solves the main condition to be fulfilled by any ABC algorithm, in order to be useful in practice. This condition requires enough samples in the parameter space region, induced by the observed statistics. The algorithm is tuned on the posterior of a Gaussian model which is entirely known, and then, it is applied for the statistical analysis of several spatial patterns. These patterns are issued or assumed to be outcomes of point processes. The considered models are: Strauss, Candy and area-interaction.     

Growing Up in A Single Mother Family and Student’s Tardiness: A Cross-National Study Exploring the Moderating Role of Family Resources

Research shows that growing up in a single-parent family has a negative effect on children’s educational level, whereas the relationship between family structure and test scores is less consistent or even nonexistent in some countries. Some authors suggested that something besides cognitive ability is responsible for the poorer school outcomes of children from nonintact families. In this study, we focus on a noncognitive outcome, in this case student tardiness, which is one of the components of problematic absenteeism. Using PISA 2003 data from Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Italy, New Zealand, Norway, Portugal, Spain, Sweden, the United Kingdom, and the United States, we find that children who grow up in a single-mother family have greater chances of arriving late for school in 16 of the 17 countries analyzed. Some studies have analyzed the extent to which the effect of growing up in a single-mother family is compensated by a high level of family resources. However, these yield mixed findings, which can be attributed to the differences between the countries studied. With the exception of Bernardi and Radl (2014), to our knowledge no study analyzes the heterogeneity of family structure effects using a cross-national approach. We find that in most of the 17 countries analyzed, a high level of family resources, such as home possessions, cultural resources, mother’s occupational and educational level, and mother’s type of work, do not compensate for the harmful effects of growing up in a single-mother family on children’s school tardiness.     

CEO satisfaction and intended strategic changes: The moderating role of performance cues

How do CEOs react to attainment discrepancies in their organizations' performance? Scholars have generally argued that (only) when performance falls below a certain aspiration level do CEOs intend to change the organization's strategy. However, empirical evidence on this issue is ambiguous and inconclusive. We address this puzzle directly by studying how CEOs' cognitive interpretations of performance (their satisfaction with the firm's performance) affect the magnitude of intended strategic changes, and we explore the moderating effect of the context (performance compared to the industry) on this relationship. Using a sample of medium-sized organizations, we find that CEOs' satisfaction with performance is negatively related to intended strategic changes, as expected, but only in contexts of poor performance compared to the industry. The negative relationship becomes less pronounced when performance compared to the industry reaches a certain threshold and even appears to reverse when the latter is extremely high. Moreover, exploratory post hoc analyses tentatively suggest the existence of two alternative intended change trajectories: contractive as a reaction to dissatisfaction and poor performance, and expansive as a response to satisfaction and high performance. These findings help to contextualize the effects of attainment discrepancies in light of conventional performance feedback theory and alternative theoretical perspectives.     

How is internal migration reshaping metropolitan populations in Latin America? A new method and new evidence

Internal migration is a key driver of patterns of human settlement and socio-economic development, but little is known about its compositional impacts. Exploiting the wide availability of census data, we propose a method to quantify the internal migration impacts on local population structures, and estimate these impacts for eight large Latin American cities. We show that internal migration generally had small feminizing, downgrading educational, and demographic window effects: reducing the local sex ratio, lowering the average years of schooling, and raising the share of working-age population due to an increased young adult population. Over time, a rise in the proportion of males and a drop in the share of the young adult population moving into cities reduced the feminizing and demographic window effects. Concurrently, a rise in the average years of schooling associated with people moving into cities attenuated the downgrading impact of internal migration on local education levels.     

New Light on the Remittances‐Poverty‐Health Nexus in Macedonia

Macedonia receives about 10 per cent of GDP as cash remittances per year while a third of the population faces poverty. The study aims to investigate whether remittances improve the poverty and health of individual remittance‐receivers in Macedonia. To that end, we rely on the 2008 Remittances’ Survey and a sequential structural model linking remittances to social indicators. We find that remittances have a significant effect oto consumption, in particular health consumption, hence contribute to reducing poverty. In turn, improved health consumption significantly reduces the incidence of bad health among receivers. This finding lends support to the claim that remittances serve an informal social protection in Macedonia.