Faith Moves Mountains—Mountains Move Faith: Two Opposite Epidemiological Forces in Research on Religion and Health

Research suggests opposite epidemiological forces in religion and health: (1). Faith seems to move mountains in the sense that religion is associated with positive health outcomes. (2). Mountains of bad health seem to move faith. We reflected on these forces in a population of 3000 young Danish twins in which all religiosity measures were associated with severe disease. We believe the reason for this novel finding is that the sample presents as a particularly secular population-based study and that the second epidemiological force has gained the upper hand in this sample. We suggest that all cross-sectional research on religion and health should be interpreted in light of such opposite epidemiological forces potentially diluting each other.

     

Capturing Context-Related Change in Emotional Dynamics via Fixed Moderated Time Series Analysis

Much of recent affect research relies on intensive longitudinal studies to assess daily emotional experiences. The resulting data are analyzed with dynamic models to capture regulatory processes involved in emotional functioning. Daily contexts, however, are commonly ignored. This may not only result in biased parameter estimates and wrong conclusions, but also ignores the opportunity to investigate contextual effects on emotional dynamics. With fixed moderated time series analysis, we present an approach that resolves this problem by estimating context-dependent change in dynamic parameters in single-subject time series models. The approach examines parameter changes of known shape and thus addresses the problem of observed intra-individual heterogeneity (e.g., changes in emotional dynamics due to observed changes in daily stress). In comparison to existing approaches to unobserved heterogeneity, model estimation is facilitated and different forms of change can readily be accommodated. We demonstrate the approach's viability given relatively short time series by means of a simulation study. In addition, we present an empirical application, targeting the joint dynamics of affect and stress and how these co-vary with daily events. We discuss potentials and limitations of the approach and close with an outlook on the broader implications for understanding emotional adaption and development.     

Religious revivalism in nineteenth-century Norway and twentieth-century Egypt: A critique of fundamentalism studies

The aim of this article is to challenge the idea that the current Islamist movements could fruitfully be considered to belong to a global category of fundamentalism. For this purpose it is necessary to criticize the most sophisticated attempts that have been made to argue for the existence of such a general phenomenon, with Islamism as one of its most prominent constituent parts.     

Bayesian adaptive estimation: The next dimension

We propose a new psychometric model for two-dimensional stimuli, such as color differences, based on parameterizing the threshold of a one-dimensional psychometric function as an ellipse. The Ψ Bayesian adaptive estimation method applied to this model yields trials that vary in multiple stimulus dimensions simultaneously. Simulations indicate that this new procedure can be much more efficient than the more conventional procedure of estimating the psychometric function on one-dimensional lines independently, requiring only one-fourth or less the number of trials for equivalent performance in typical situations. In a real psychophysical experiment with a yes-no task, as few as 22 trials per estimated threshold ellipse were enough to consistently demonstrate certain color appearance phenomena. We discuss the practical implications of the multidimensional adaptation. In order to make the application of the model practical, we present two significantly faster algorithms for running the Ψ method: a discretized algorithm utilizing the Fast Fourier Transform for better scaling with the sampling rates and a Monte Carlo particle filter algorithm that should be able to scale into even more dimensions.     

On Identification and Non-normal Simulation in Ordinal Covariance and Item Response Models

Psychometrika - A standard approach for handling ordinal data in covariance analysis such as structural equation modeling is to assume that the data were produced by discretizing a multivariate...     

Teachers’ Identity, Self and the Process of Learning

In this paper we try, by drawing on some insights from practical knowledge, to bridge a gap between common conceptions of teaching on the one hand, and of learning on the other. In Western traditions of educational thought and discourse, practical knowledge—i.e. the dynamics of thinking, speaking, acting, and personal writing—is frequently separated from disciplinary knowledge: i.e. the knowledge of academic disciplines. But this separation often fails to recognize an inherent dialectic in teaching and learning. Through fresh explorations of human capacities to act and think, to speak and write, we try to illuminate different aspects of a teacher’s identity, including the teacher’s individuality and the teacher as an agent of an educational institution. The teacher has to present and represent knowledge in education, both as an agent of an institution and as a person. By examining the disclosure and transformation of the self in light of understandings of identity as sameness (i.e. that which doesn’t change with time), or as selfhood (i.e. that which is confronted by successive challenges), we hope to draw some productive conclusions about the teacher’s self-understanding as the source for personal learning in education. We aim to explore the importance of transformation of the teachers’ self for the quality of learning relationships between the teacher and the always Other student.     

Priority setting in health care: on the relation between reasonable choices on the micro-level and the macro-level

There has been much discussion about how to obtain legitimacy at macro-level priority setting in health care by use of fair procedures, but how should we consider priority setting by individual clinicians or health workers at the micro-level? Despite the fact that just health care totally hinges upon their decisions, surprisingly little attention seems being paid to the legitimacy of these decisions. This paper addresses the following question: what are the conditions that have to be met in order to ensure that individual claims on health care are well aligned with an overall concept of just health care? Drawing upon a distinction between individual and aggregated needs, I argue that even though we assume the legitimacy of macro-level guidelines, this legitimacy is not directly transferable to decisions at micro-level simply by adherence to the guidelines’ recommendation. Further, I argue that individual claims are subject to the formal principle of equality and the demands of vertical and horizontal equity in a way that gives context- and patient-related equity concerns precedence over equity concerns captured at the macro-level. I conclude that if we aim to achieve just health care, we need to develop a complementary framework for legitimising individual judgment of patients’ claims on health care resources. Moreover, I suggest the basic structure of such a framework.     

Testing for selectivity in the dependence of random variables on external factors

Random variables A and B, whose joint distribution depends on factors (x,y), are selectively influenced by x and y, respectively, if A and B can be represented as functions of, respectively, (x,S_A,C) and (y,S_B,C), where S_A,S_B,C are stochastically independent and do not depend on (x,y). Selective influence implies selective dependence of marginal distributions on the respective factors: thus no parameter of A may depend on y. But parameters characterizing stochastic interdependence of A and B, such as their mixed moments, are generally functions of both x and y. We derive two simple necessary conditions for selective dependence of (A,B) on (x,y), which can be used to conduct a potential infinity of selectiveness tests. One condition is that, for any factor values x,x^′ and y,y^′,

s_xy≤s_xy^′+s_x^′y^′+s_x^′y,     

A Woman's Choice? — On Women, Assisted Reproduction and Social Coercion

This paper critically discusses an argument that is sometimes pressed into service in the ethical debate about the use of assisted reproduction. The argument runs roughly as follows: we should prevent women from using assisted reproduction techniques, because women who want to use the technology have been socially coerced into desiring children--and indeed have thereby been harmed by the patriarchal society in which they live. I call this the argument from coercion. Having clarified this argument, I conclude that although it addresses important issues, it is highly problematic for the following reasons. First, if women are being coerced to desire to use AR, we should eradicate the coercive elements in pro-natalist ideology, not access to AR. Second, the argument seems to have the absurd implication that we should prevent all women, whether fertile or not, to try to have children. Third, it seems probable that women's welfare will be greater if we let well informed and decision-competent women decide for themselves whether they want to use AR.