Culture‐Inclusive Theories of Self and Social Interaction: The Approach of Multiple Philosophical Paradigms

In view of the fact that culture‐inclusive psychology has been eluded or relatively ignored by mainstream psychology, the movement of indigenous psychology is destined to develop a new model of man that incorporates both causal psychology and intentional psychology as suggested by Vygotsky (1927). Following the principle of cultural psychology: “one mind, many mentalities” (Shweder et al., 1998), the Mandala Model of Self (Hwang, 2011a,b) and Face and Favor Model (Hwang, 1987, 2012) were constructed to represent the universal mechanisms of self and social interaction that can be applied to any culture; both models can be used as conceptual frameworks for analyzing mentalities of people in any given culture. Taking research works from Foundations of Chinese Psychology: Confucian Social Relation as exemplars (Hwang, 2012), this article illustrates how to construct culture‐inclusive theories of Confucianism by multiple philosophical paradigms. The mechanism of culture‐inclusive theory can be applied to explain qualitative research findings on lifeworld events of people in a particular society. It can also be utilized to predict results of quantitative research conducted to verify theoretical propositions in the scientific microworld by empirical methods.     

Activation,Public Employment Services and their Clients: The Role of Social Class in a Continental Welfare State

This article fills a gap in the existing literature by investigating how public employment service (PES) staff actually deal with their clients under a continental regime of activation. The results reported here are based on interviews both with PES staff and their unemployed clients in Germany. We argue that due to its Bismarckian origins as an insurance‐based system of ‘unemployment protection’, Germany's system of unemployment compensation is attractive not only for the marginalized, but also for core workers. As a result, PES staff deal with clients from very heterogeneous class backgrounds. We demonstrate that social class is a significant factor in client outcomes, and that earlier research has perhaps overemphasized the role of frontline staff as ‘street‐level bureaucrats’. While staff do have considerable power, the result of the encounters between the administration and clients also depends on the capabilities of the clients, which, in turn, are strongly related to social class.     

Addressing common forms of child maltreatment: evidence‐informed interventions and gaps in current knowledge

This paper reviews interventions for preventing the occurrence and recurrence of major types of child maltreatment. We begin with an overview of the challenges of establishing evidence‐based interventions to prevent child abuse and neglect in many countries, and underscore the importance of this need with child maltreatment incidence rates in the USA, and how much each type and subtype contribute to child out‐of‐home placement. Next, we identify the well‐supported, supported and promising interventions for each child maltreatment type and subtype, according to their level of research evidence using an evidence‐based clearing house. The paper closes with a discussion of the implications for practice, evaluation, policy and agency management, including intervention knowledge gaps that showcase areas that need additional practice research.     

Toleration or trust? Investigating the acceptance of ‘boat people’ among young Australians

There has been intense debate in Australia regarding how asylum seekers who arrive by boat should be treated. Some call for compassion towards those prepared to risk their lives to seek protection, whereas others believe ‘boat people’ should not be allowed into the country. This article uses data from a large representative sample of young people in Queensland, Australia, to understand the acceptance of asylum seekers by young people in Australia. The findings suggest that young Australians are more accepting than the Australian adult population. Several social and political background factors were also found to be associated with the belief that ‘boat people’ should be permitted into Australia. Fewer factors, however, are associated with the trust young Australians have in people from another country. This suggests that while some young Australians may believe boats carrying asylum seekers should not be turned away, fewer might be prepared to enter into trusting relationships with ‘boat people’ should they resettle in Australia.     

Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations

The semiparametric accelerated failure time (AFT) model is not as widely used as the Cox relative risk model due to computational difficulties. Recent developments in least squares estimation and induced smoothing estimating equations for censored data provide promising tools to make the AFT models more attractive in practice. For multivariate AFT models, we propose a generalized estimating equations (GEE) approach, extending the GEE to censored data. The consistency of the regression coefficient estimator is robust to misspecification of working covariance, and the efficiency is higher when the working covariance structure is closer to the truth. The marginal error distributions and regression coefficients are allowed to be unique for each margin or partially shared across margins as needed. The initial estimator is a rank-based estimator with Gehan’s weight, but obtained from an induced smoothing approach with computational ease. The resulting estimator is consistent and asymptotically normal, with variance estimated through a multiplier resampling method. In a large scale simulation study, our estimator was up to three times as efficient as the estimateor that ignores the within-cluster dependence, especially when the within-cluster dependence was strong. The methods were applied to the bivariate failure times data from a diabetic retinopathy study.     

Bayes Hilbert Spaces

A Bayes linear space is a linear space of equivalence classes of proportional σ‐finite measures, including probability measures. Measures are identified with their density functions. Addition is given by Bayes' rule and substraction by Radon–Nikodym derivatives. The present contribution shows the subspace of square‐log‐integrable densities to be a Hilbert space, which can include probability and infinite measures, measures on the whole real line or discrete measures. It extends the ideas from the Hilbert space of densities on a finite support towards Hilbert spaces on general measure spaces. It is also a generalisation of the Euclidean structure of the simplex, the sample space of random compositions. In this framework, basic notions of mathematical statistics get a simple algebraic interpretation. A key tool is the centred‐log‐ratio transformation, a generalization of that used in compositional data analysis, which maps the Hilbert space of measures into a subspace of square‐integrable functions. As a consequence of this structure, distances between densities, orthonormal bases, and Fourier series representing measures become available. As an application, Fourier series of normal distributions and distances between them are derived, and an example related to grain size distributions is presented. The geometry of the sample space of random compositions, known as Aitchison geometry of the simplex, is obtained as a particular case of the Hilbert space when the measures have discrete and finite support.