Causal Ordering of Basic Psychological Needs and Well-Being

What is the relationship between well-being and satisfaction of basic psychological needs overtime? The basic psychological needs theory is a subtheory of the self-determination theory that elaborates the concept of psychological needs and its relations to psychological health and well-being. The goals of this research was to establish the causal ordering between basic psychological needs and three psychological well-being indicators (subjective well-being, self-esteem and satisfaction with life), in a longitudinal study. We used a cross-lagged two-wave design. A total of 272 university students completed the questionnaire at the beginning and at the end of the semester. Relatedness at time 1 (T₁) had a positive and significant effect on all well-being indicators at time 2 (T₂); competence (T₁) had a positive and significant effect on all indicators except for self-esteem (T₂); finally, autonomy (T₁) did not have a significant effect on any of the well-being indicators (T₂). In conclusion, we confirm the causal ordering of competence and relatedness on well-being, according to the basic psychological needs subtheory. Universities, in general, and teachers, in particular, should promote relations between students and support the need of competence.     

An Empirical Analysis of Monitoring Behaviour and Private Benefits of Investors in the Spanish Market

The objective of our study is to look for anequilibrium among three factors: the privatebenefits that main shareholders can obtain fromthe firm, the social benefits derived from acertain ownership structure (such assupervision and alignment of interests) and thecosts derived from ownership concentration(such as loss of liquidity and riskdiversification). Our empirical analysis allowsus to conclude that the supervisory role ofownership is more intense in firms where thepotential conflict of interest betweenshareholders and managers is greater, andtherefore the value of the firm can beincreased through a specific composition of itsshareholders.     

Private Action for Public Good?: The Public Role of Voluntary Sector Organizations

Voluntary sector organizations claim to be private institutions acting for the public good. However, if the concept of public is disengaged from the state and connected instead to citizenship, VSOs can be shown to have both private and public origins, as well as private and public impacts. As citizens, VSOs are public organizations serving the public good through their purported representation of the people and civic leadership. The legitimacy of their assumption of these public roles remains a continuing challenge.     

Rethinking a universal framework in the psychiatric symptom-disorder relationship

Research on disparities in health and services should include a critical examination of how social, cultural, and contextual factors affect the connection between symptoms and psychiatric disorders. Systematic differences in this connection by these factors will mean that clinicians using a universalist approach to disorders may make more diagnostic errors for certain patients (e.g., ethnic minorities, the poor). Based on the literature on normative clinical decision-making, this study tests for whether the effect of specific psychiatric disorders on key symptoms is the same for certain groups of the population. The data come from the National Comorbidity Survey. Conditional probabilities of disorders and symptoms, the elements feeding into clinical decision-making, are calculated and tested for equivalence across various racial/ethnic, educational, income, and gender groups. We find some significant differences in the relation of key symptoms to disorders across groups. These findings should encourage testing relativistic frameworks in diagnostic nosology as a step to improve clinical decision-making and reduce diagnostic and treatment disparities in mental health services.     

Framing in Legislation: The Case of Population Policy in the Philippines

This paper investigates the political framing of population in policy discourse through an analysis of legislative documents. Semantic network analysis was conducted and results were interpreted through discourse analysis of the typical arguments identified. Policy texts were classified into three sets: population management, reproductive health and family planning, and anti-abortion and anti-FP. While the “population management” frame focuses on social and economic consequences of population growth, the “reproductive health” frame defines the problem from a health perspective. Both policies propose aggressive FP programs but each frame uses distinct political rhetoric and semantic approach in its arguments. The “anti-abortion and anti-FP” frame identifies two problems: rise in incidence of abortion and existing policy that prohibit health professionals from refusing patients information on contraception. By invoking a moral argument and anchoring on rights, these policies challenge the problem and solutions identified by the first two frames.     

A comparison of classification models to identify the Fragile X Syndrome

The main models of machine learning are briefly reviewed and considered for building a classifier to identify the Fragile X Syndrome (FXS). We have analyzed 172 patients potentially affected by FXS in Andalusia (Spain) and, by means of a DNA test, each member of the data set is known to belong to one of two classes: affected, not affected. The whole predictor set, formed by 40 variables, and a reduced set with only nine predictors significantly associated with the response are considered. Four alternative base classification models have been investigated: logistic regression, classification trees, multilayer perceptron and support vector machines. For both predictor sets, the best accuracy, considering both the mean and the standard deviation of the test error rate, is achieved by the support vector machines, confirming the increasing importance of this learning algorithm. Three ensemble methods - bagging, random forests and boosting - were also considered, amongst which the bagged versions of support vector machines stand out, especially when they are constructed with the reduced set of predictor variables. The analysis of the sensitivity, the specificity and the area under the ROC curve agrees with the main conclusions extracted from the accuracy results. All of these models can be fitted by free R programs.     

Manipulating an aggregation rule under ordinally fuzzy preferences

It is well known that many aggregation rules are manipulable through strategic behaviour. Typically, the aggregation rules considered in the literature are social choice correspondences. In this paper the aggregation rules of interest are social welfare functions (SWFs). We investigate the problem of constructing a SWF that is non-manipulable. In this context, individuals attempt to manipulate a social ordering as opposed to a social choice. Using techniques from an ordinal version of fuzzy set theory, we introduce a class of ordinally fuzzy binary relations of which exact binary relations are a special case. Operating within this family enables us to prove an impossibility theorem. This theorem states that all non-manipulable SWFs are dictatorial, provided that they are not constant. This theorem uses a weaker transitivity condition than the one in Perote-Peña and Piggins (J Math Econ 43:564–580, 2007), and the ordinal framework we employ is more general than the cardinal setting used there. We conclude by considering several ways of circumventing this impossibility theorem.     

The Impact of Educational Homogamy on Isolated Illiteracy Levels

In this article, we explore the impacts that education expansion and increased levels in educational homogamy have had on couples’ isolated illiteracy rates, defined as the proportion of illiterates in union that are married to an illiterate partner. First, we develop the methodology to decompose isolated illiteracy rates into two main components: one related to level of homogamy among illiterates, and the other related to the educational distribution of the spouses. Second, we use harmonized international census microdata from IPUMS and DHS data for 73 countries and 217 samples to investigate which of the two components is more important in shaping the level of isolated illiteracy. Our results indicate that the expansion of literacy has been more powerful than the increases in the tendency toward homogamy in its impact on isolated illiteracy rates. As the percentage of illiterates decreases over time, an increasingly large proportion of them marry literate individuals, showing that opportunities for intermarriage among illiterates expand despite the strengthening of homogamy.     

Robust Methods of Building Regression Models—An Application to thè Housing Sector

This article studies robustification strategies for the linear model in the presence of outliers. The advantages of an internal analysis of the robustness of least squares for a given sample are pointed out. The application of this methodology is illustrated by building an explicit model of the determinants of rental housing values in the Madrid Metropolitan Area.     

Examining coping strategies used by Spanish female social work students: evidence for the importance of social problem-solving abilities

The present study examined the role of social problem-solving abilities in the coping strategies used by 310 female social work students from Spain. Results from comparative analyses of the coping strategies, used by students to deal with stressful situations, indicated the greater use of functional forms of coping (eg problem solving and cognitive restructuring), compared to dysfunctional forms of coping (eg problem avoidance and wishful thinking). Moreover, results from regression analyses indicated that constructive social problem-solving abilities, namely, positive problem orientation and rational problem solving, predicted the use of functional coping strategies (eg problem solving, cognitive restructuring, and express emotions). Alternatively, one damaging social problem-solving ability, namely, negative problem orientation, predicted the use of dysfunctional coping strategies (eg problem avoidance, wishful thinking, self criticism, and social withdrawal). Taken together, these findings provide an important first step for understanding what and how social problem-solving abilities might inform how social work students cope with stressful situations as they arise. Some implications for social work education and training are discussed.