Psychometric properties of an adapted version of the parental sense of competence (PSOC) scale for Portuguese at‐risk parents

Parental sense of competence is one of the central dimensions targeted on psychosocial interventions aimed at supporting at‐risk families. Researchers and practitioners need reliable instruments to assess the parental role adapted for these families. Although the parental sense of competence (PSOC) scale has been frequently used to assess this construct, there is still no adapted version for Portuguese parents. In this study, the reliability, validity and factor structure of the PSOC scale is examined with a clinical sample of 146 mothers from at‐risk families receiving psychosocial interventions for family preservation from Child Protective Services. Results show that the Portuguese version of the PSOC measures three distinct constructs with acceptable psychometric properties: efficacy, dissatisfaction and controllability. As expected, the obtained factors were significantly and positively related to parenting alliance and family cohesion, and negatively associated with parenting stress. In sum, the proposed Portuguese version shows reliability and validity evidences to measure three relevant dimensions of parental self‐evaluation, and it constitutes a cost‐ and time‐effective instrument suited for at‐risk mothers.     

The Influence of Attitude to Money on Individuals’ Financial Well-Being

Social Indicators Research - Using the quarterly data of the United Kingdom (UK) for the period from 1975Q1 to 2016Q1, the paper analyses the dynamic and the asymmetric responses of inequality to...     

Street trees in Paris are sensitive to spring and autumn precipitation and recent climate changes

Urban Ecosystems - Determining the main factors causing urban tree decline is becoming essential for sustaining their health and survival. Understanding responses of tree growth to urban...     

No overall effect of urbanization on nest-dwelling arthropods of great tits (Parus major).

Urbanization has been shown to strongly affect community composition of various taxa with potentially strong shifts in ecological interactions, including those between hosts and parasites. We investigated the effect of urbanization on the composition of arthropods in nests of great tits in Flanders, Belgium. These nests contain taxonomically and functionally diverse arthropod communities including parasites, predators, detritivores and accidental commensals. Using a standardized hierarchical sampling design with subplots (200 m?×?200 m) nested in plots (3 km?×?3 km) of varying urbanization levels, we collected arthropods from nests of resident great tits after the young had fledged. Arthropods were extracted, identified to Primary Taxonomical Groups (PTG) and counted. Using generalized linear mixed models (GLMMs) we found diverging effects of urbanization on PTG occurrences and abundances at various levels, but we did not find an overall signal in arthropod diversity or richness. Also, visual inspection of non-metric multidimensional scaling (NMDS) plots did not reveal any community differences between urbanization levels at plot or subplot scales. Land use and environmental variables at different distances around nestboxes did not contribute much to the variation between communities. Our results indicate that arthropod nestbox communities are generally not adversely affected by urbanization, and even city gardens and parks harbor comparable communities to forests and suburban areas. We thus found no evidence for a parasite release effect due to urbanization, nor an increased risk of parasitism in human-dominated environments.

     

The objects that personalize bedrooms and their relationship with attachment and self / Los objetos que personalizan los dormitorios y su relación con el apego y el self

The personalization of space is constructed through the items that the resident distributes around the space they inhabit, and they can be considered part of the resident’s self. Three studies were conducted with the goal of establishing the categories into which the objects contained in bedrooms can be organized and to evaluate to what extent these categories are related to the extended self and attachment. In the first study, with 77 students, we obtained a list of the most representative objects in their bedrooms. In the next study, a group of 56 students classified these objects freely using their own criteria; a subsequent cluster analysis showed four categories: Functional, Personal Grooming, Symbolic and Free Time. In the last study, 144 students evaluated the relationship between the categories of the objects and the extended self and attachment. The results showed that the residents’ representative objects were part of their extended self more than the level of attachment attributed to these objects.     

Deux méthodes d'estimation pour les paramètres de processus moyenne mobile spatiaux

We consider moving average processes, {X_s, s ∈ ??}, where ?? is a triangular lattice in the plane R^2. To estimate the parameters of such processes, Adjengue & Moore (1993) have considered likelihood and gaussian pseudo-likelihood methods. We consider here two other methods. The first one is based on the estimation of the correlations and the relation between these correlations and the parameters of the process. The second relies on a linear approximation of the process. The asymptotic properties of the proposed estimators are analyzed and compared. A simulation study allows us to compare the estimators for fixed sample sizes.     

LTD and RTI dependence orderings

The authors show how the approach of Capéra à & Genest (The Canadian Journal of Statistics, 1990) can be used to order bivariate distributions with arbitrary marginals by their degree of dependence in the LTD (left‐tail decreasing) or RTI (right‐tail increasing) sense. Some properties of these new orderings are given, along with applications to Archimedean copulas, order statistics and compound random variables.     

Small area estimation-based prediction methods to track poverty: validation and applications

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However, regular series of strictly comparable data are only rarely available. Price deflators are also often missing or disputed. In response, poverty prediction methods that track consumption correlates as opposed to consumption itself have been developed. These methods typically assume that the estimated relation between consumption and its predictors is stable over time??assumptions that cannot usually be tested directly. This study analyzes the performance of poverty prediction models based on small area estimation (SAE) techniques. Predicted poverty estimates are compared with directly observed levels in two country settings where data comparability over time is not a problem. Prediction models that employ either non-staple food or non-food expenditures or a full set of assets as predictors are found to yield poverty estimates that match observed poverty well. This offers some support to the use of such methods to approximate the evolution of poverty. Two further country examples illustrate how an application of the method employing models based on household assets can help to adjudicate between alternative price deflators.     

Penalized multidimensional fitting for protein movement detection

The three-dimensional structure of a given protein can take different conformations depending upon the reaction it undergoes and its substrate/cofactor/partners binding state. Various methods exist to study these conformational changes but only one, called DynDom, is clearly focused on movement detection. An alternative method is proposed, making use of multivariate data analysis, called ‘penalized Multidimensional Fitting (penalized MDF)’ based on penalized movements of points in order to approach the distances between points after movement to the distances given by the reference matrix. The objective is to detect the amino acids that undergo an important movement by fitting the distances of one conformation to the distances of the second one by modifying only the coordinates of the first one. This method is applied to three different proteins.     

Longitudinal Change in Adolescent Depression and Anxiety Symptoms from before to during the COVID-19 Pandemic

This study aimed to examine changes in depression and anxiety symptoms from before to during the first 6 months of the COVID-19 pandemic in a sample of 1,339 adolescents (9–18 years old, 59% female) from three countries. We also examined if age, race/ethnicity, disease burden, or strictness of government restrictions moderated change in symptoms. Data from 12 longitudinal studies (10 U.S., 1 Netherlands, 1 Peru) were combined. Linear mixed effect models showed that depression, but not anxiety, symptoms increased significantly (median increase = 28%). The most negative mental health impacts were reported by multiracial adolescents and those under ‘lockdown’ restrictions. Policy makers need to consider these impacts by investing in ways to support adolescents’ mental health during the pandemic.