Links between attachment and theory of mind in childhood: Meta‐analytic review

Theoretical models suggest a relation between children's attachment and their theory of mind (ToM), but existing empirical studies are inconclusive with respect to the existence and magnitude of this association. We present the first meta‐analytic review of available studies on the attachment‐ToM association during childhood. Fifteen research on attachment‐ToM links among typically developed children aged 2 to 6 were reviewed and 12 studies that report correlations between attachment and ToM (N = 629) were included in a quantitative meta‐analysis. Meta‐analytic results showed that the higher attachment security, the better ToM skills; the combined effect size for this association was moderate, r = .30. These findings are discussed in‐depth and future research directions are proposed.     

State attachment variability across distressing situations in middle childhood

Contemporary research suggests that attachment has both a trait‐like, stable component, and a state‐like component that varies across contexts. In the current study, we assessed state attachment variability across comparably distressing situations in middle childhood. In two samples, children reported their expectations of maternal support in each situation. Additionally, we administered trait attachment and psychological well‐being measures. Results indicated that, overall, children varied in their expectations across situations: more than half of the variance was explained by intra‐individual differences across situations. Results revealed two components underlying variability: a Signal‐and‐Support component reflecting expectations of support‐seeking and receiving, and a Back‐on‐Track component reflecting expectations of stress reduction and comfort. State attachment variability was related to individual differences in trait attachment: children who are more securely attached at the trait level, overall appear to vary less in their state attachment, likely due to their high mean state attachment scores across situations. When the mean state attachment scores are accounted for, more securely attached children seem to vary more, suggesting that their state attachment expectations are more sensitive to contextual fluctuations. Importantly, degree of state attachment variability explained psychological well‐being over and above trait attachment.     

Let's not get tied into knots: a response to Newman, (2018)—Vygotsky,Wittgenstein and sociocultural theory

The September 2018 issue of this journal included an article by Newman, (2018) that challenges research carried out on second language acquisition (henceforth, SCT‐L2) informed by the psychological theory proposed by L. S. Vygotsky. We would like to respond to Newman's critique, which he problematizes as three “knots” that he then undertakes to untie through analysis of Vygotsky's writings contained in Vygotsky's two most popular works, Thought and Language and Mind in Society. We first summarize Newman's knots and his approach to untying them. We then present our response to each of these in turn.     

Sampling from a Max‐Stable Process Conditional on a Homogeneous Functional with an Application for Downscaling Climate Data

Conditional simulation of max‐stable processes allows for the analysis of spatial extremes taking into account additional information provided by the conditions. Instead of observations at given sites as usually done, we consider a single condition given by a more general functional of the process as may occur in the context of climate models. As the problem turns out to be intractable analytically, we make use of Markov chain Monte Carlo methods to sample from the conditional distribution. Simulation studies indicate fast convergence of the Markov chains involved. In an application to precipitation data, the utility of the procedure as a tool to downscale climate data is demonstrated.     

Every child matters: a legal perspective

Recent legal and policy changes, including the introduction of the Human Rights Act, provide the context for the new child welfare and protection policies proposed for England. These proposals are discussed from a legal perspective in relation to early and coordinated intervention, sharing information between agencies and with children and families, partnership with children, information management, and structural and legal change. Consideration is also given to issues overlooked by the Green Paper, such as immigration and asylum, youth justice and the whole family justice system. The discussion concludes by arguing for the need for integrating cultural and structural change and for leadership (and investment of resources) across government to achieve such goals. Copyright © 2004 John Wiley & Sons, Ltd.     

A Discrete Time Parametric Model for the Analysis of Failure Time Data

This paper introduces a parametric discrete failure time model which allows a variety of smooth hazard function shapes, including shapes which are not readily available with continuous failure time models. The model is easy to fit, and statistical inference is simple. Further, it is readily extended to allow for differences between subjects while retaining the ease of fit and simplicity of statistical inference. The performance of the discrete time analysis is demonstrated by application to several data sets.     

Families and family study in international perspective

Many changes are occurring in the world's families. Some observers feel that the changes are destructive, whereas others see them as leading to new opportunities and understanding. Issues in international family studies include regional limitations and the various aspects of doing research cross‐culturally. Knowledge regarding certain categories of families, inheritance, and the social psychology of families is incomplete. There are, however, some universals and universal or worldwide changes, including movement toward individual partner choice, more divorces, lower fertility, and greater opportunities for women.     

Robust estimation for linear regression with asymmetric errors

The authors propose a new class of robust estimators for the parameters of a regression model in which the distribution of the error terms belongs to a class of exponential families including the log‐gamma distribution. These estimates, which are a natural extension of the MM‐estimates for ordinary regression, may combine simultaneously high asymptotic efficiency and a high breakdown point. The authors prove the consistency and derive the asymptotic normal distribution of these estimates. A Monte Carlo study allows them to assess the efficiency and robustness of these estimates for finite samples.     

Stability in Center Day Care: Relations with Children's Well‐being and Problem Behavior in Day Care1

Mothers and primary professional caregivers of 186 children, aged 6–30 months, participated in this study in which a new measure for daily stability in center day care was developed, describing staffing, grouping, and program features. Relative contributions of infants’ daily experiences of care stability, quality of care, and mother's daily stress to the child's adjustment to day care were analyzed with hierarchical regressions. The child's adjustment was assessed with the Child Behavior Checklist ( Achenbach, 1997 ) and with the Leiden Inventory for the Child's Well‐being in Day Care. Children enrolled in fewer care arrangements showed less internalizing behavior and more well‐being in the day care setting. Children had higher well‐being scores when trusted caregivers were more available. Mother's family management stress was related to more internalizing problem behavior. Interactions between mother's daily stress and stability in care were found to affect the child's adjustment to day care.     

On a class of bivariate mixed Sarmanov distributions

Multivariate distributions are more and more used to model the dependence encountered in many fields. However, classical multivariate distributions can be restrictive by their nature, while Sarmanov's multivariate distribution, by joining different marginals in a flexible and tractable dependence structure, often provides a valuable alternative. In this paper, we introduce some bivariate mixed Sarmanov distributions with the purpose to extend the class of bivariate Sarmanov distributions and to obtain new dependency structures. Special attention is paid to the bivariate mixed Sarmanov distribution with Poisson marginals and, in particular, to the resulting bivariate Sarmanov distributions with negative binomial and with Poisson‐inverse Gaussian marginals; these particular types of mixed distributions have possible applications in, for example modelling bivariate count data. The extension to higher dimensions is also discussed. Moreover, concerning the dependency structure, we also present some correlation formulas.