Disparate roads to certainty processing strategy choices under need for closure

This paper describes a programme of research addressing an intriguing inconsistency in research findings about cognitive processes under a high need for cognitive closure (NFC). While early studies demonstrated that individuals who seek closure opt for closed-minded cognitive strategies, a growing body of research has identified a number of circumstances in which individuals who are high in NFC engage in effortful, open-minded information processing to an even greater extent than their low NFC counterparts. This has posed the challenge of delineating the circumstances under which people motivated to reduce uncertainty (i.e., attain closure) engage in effortful and open-minded cognition from those situations in which they rely on simplistic, low-effort strategies. This also calls for theoretical advancement in NFC theory. We discuss our proposed solution to this puzzle and the implications of this model for real-world social phenomena.     

Sikh millennials of the ‘kirtan generation’ in the making of an ‘American Sikhism’

ABSTRACT

This essay focuses on the millennial generation of Sikhs in the United States. Based on extended ethnographic research in Sikh communities, the author explores the role of Sikh millennials in the making of an ‘American Sikhism’, the contours of which are taking shape having followed after the explosive growth of gurdwara communities – and the educational, social, and other resources they provide – which were largely made possible by the affluence of Sikh communities beginning with the previous ‘Brain Drain’ generation. In particular, the author discusses this ‘kirtan generation’ of Sikhs, educated in gurdwara schools, and their growing leadership of Sikh communities.     

Connecting the dots from a distance: Does mentally traveling through space and time increase searching for life’s meaning?

As humans, we have the ability to travel beyond the present moment by considering past and future times as well as locations that are distant from oneself. An interesting possibility is that such mental travel to far-away times and places (vs. focusing on times and places closer to the present) may increase people’s desire to search for their lives’ meaning. Since searching for meaning involves the integration of separate life events into a coherent life story, mentally traveling farther away from the present may make people aware that their life stories include more than what is happening at this very minute. Such awareness, then, may increase their desire to ‘connect the dots’ between their life events by searching for some underlying meaning. Three experiments (N = 838) tested this prediction and found that greater (vs. lower) mental travel through space or time increased the search for life’s meaning.     

Crisis,Biology, Ecology: A New Starting-Point for Phenomenology?

The crisis of European sciences in Husserl’s late work diagnoses Galilean science as specifically and necessarily losing touch with the intuitive evidence that would legitimate it due to its reliance on a formal-mathematical conceptual apparatus. While the vast majority of Husserl’s late work was focussed on a critique of the formal-mathematical paradigm of the physical science of nature, at several points the possibility of biology as the exemplary science is raised to suggest that the lack of a reliance on formal-mathematical conceptual language would mean that a systemic crisis would not occur in such a case. This investigation considers the grounds for the expectation that biology would not engender a crisis, suggests that a paradigmatic role for ecology would more adequately address this expectation, and finally claims that the question of the relation between a specific exemplary science and transcendental phenomenology is not fully resolved even in this case.     

Testing autocorrelation and partial autocorrelation: Asymptotic methods versus resampling techniques

Autocorrelation and partial autocorrelation, which provide a mathematical tool to understand repeating patterns in time series data, are often used to facilitate the identification of model orders of time series models (e.g., moving average and autoregressive models). Asymptotic methods for testing autocorrelation and partial autocorrelation such as the 1/T approximation method and the Bartlett's formula method may fail in finite samples and are vulnerable to non-normality. Resampling techniques such as the moving block bootstrap and the surrogate data method are competitive alternatives. In this study, we use a Monte Carlo simulation study and a real data example to compare asymptotic methods with the aforementioned resampling techniques. For each resampling technique, we consider both the percentile method and the bias-corrected and accelerated method for interval construction. Simulation results show that the surrogate data method with percentile intervals yields better performance than the other methods. An R package pautocorr is used to carry out tests evaluated in this study.     

Cognitive diagnosis modelling incorporating item response times

To provide more refined diagnostic feedback with collateral information in item response times (RTs), this study proposed joint modelling of attributes and response speed using item responses and RTs simultaneously for cognitive diagnosis. For illustration, an extended deterministic input, noisy ‘and’ gate (DINA) model was proposed for joint modelling of responses and RTs. Model parameter estimation was explored using the Bayesian Markov chain Monte Carlo (MCMC) method. The PISA 2012 computer-based mathematics data were analysed first. These real data estimates were treated as true values in a subsequent simulation study. A follow-up simulation study with ideal testing conditions was conducted as well to further evaluate model parameter recovery. The results indicated that model parameters could be well recovered using the MCMC approach. Further, incorporating RTs into the DINA model would improve attribute and profile correct classification rates and result in more accurate and precise estimation of the model parameters.     

Central Asia as the economic and geopolitical tension nexus: Some implications for the world futures

During the last millennium the world economic and geopolitical conflicts were to a great extent connected: different crises in the World System's evolution stimulated geopolitical shifts and vice versa. This article argues that in the 15th century different geopolitical events and conflicts in Central Asia initiated the fall of the previous World System and the rise of the new one. This transformation resulted in the fall of overland and river trade routes, including the Great Silk Route, which passed through Central Asia. World trade shifted to sea and ocean routes, and European countries became the center of the new World System. Now, in the beginning of the 21st century a new transformation of the World System is underway. The center of economic and political development is migrating gradually to the East: this is why the geopolitical role of the Central Asian states is increasing. Central Asian states are a very important part of the New Silk Route; this route is to connect Eastern Asia with Europe and the Middle East. The United States, China, Russia, and other states are ardently competing to control the New Silk Route. Hence, different geopolitical, social, and military conflicts are probable in Central Asia. So economic and political integration in Eurasia between Russia, China, the United States and Central Asian states is very important for the geopolitical stabilization of the region. The article evaluates the main scenarios of geopolitical changes in Central Asia.