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.     

A third way: Developing a planetary spirituality

Globalization has brought the world closer together, but it has come with a cost. Over the past several decades, it seems our only two options for moving ahead are through continued globalization of a neoliberal model of economics as usual, or some sort of return to nationalism. Many countries are facing the challenges of globalization and opting for one or the other of these models to deal with a globalized world. Might there be a third way? Perhaps religious leaders can help bring about a third, planetary model that helps us to navigate between the ills of neoliberalism and nationalism, and toward an understanding of a planetary vision of spirituality, ethics, and citizenship.     

When is a lie acceptable? Work and private life lying acceptance depends on its beneficiary

In this article we show that when analyzing attitude towards lying in a cross-cultural setting, both the beneficiary of the lie (self vs other) and the context (private life vs. professional domain) should be considered. In a study conducted in Estonia, Ireland, Mexico, The Netherlands, Poland, Spain, and Sweden (N = 1345), in which participants evaluated stories presenting various types of lies, we found usefulness of relying on the dimensions. Results showed that in the joint sample the most acceptable were other-oriented lies concerning private life, then other-oriented lies in the professional domain, followed by egoistic lies in the professional domain; and the least acceptance was shown for egoistic lies regarding one’s private life. We found a negative correlation between acceptance of a behavior and the evaluation of its deceitfulness.     

Women’s hair as a cue to desired relationship and parenting characteristics

We investigated how women’s hair color (blond, brown, black) and length (short, medium, long) influences males’ judgments about the women’s age, health, physical attractiveness, relationship potential, and parenting capability. Results, which are generally consistent with evolutionary psychology approaches, indicate that hair color and, to a lesser extent, length can affect perceptions of personal characteristics. More specifically, we found that lighter hair (blond and brown) compared to darker hair (black) is generally associated with perceptions of youth, health and attractiveness, and generally leads to more positive perceptions of relationship and parenting potential. Furthermore, the relationships between variables suggest that characteristics directly related to reproductive potential may be inferred from more obvious indirect characteristics. These results suggest that males are able to make complex judgments about women concerning their desirable relationship and parenting potential based on discernable characteristics such as hair color and length.     

Transdisciplinary Conversations in Child and Youth Care

Beginning from the proposition that doing transdisciplinary child and youth care (CYC) entails an ethic of risk and vulnerability, four graduate students from differing social, spiritual, bodied, and academic locations trace how our research and professional projects encounter, challenge, support, and disrupt one another. Thinking through two concepts critical to the field of CYC in Canada (politics and care), we aim to (a) make visible the possibilities, tensions, and incommensurabilities that emerge when we collectively risk generous, rigorous dialogue between distinct research projects, practice orientations, and lived ontological and epistemological loyalties; and (b) imagine the practices required to enact, and the creative collaborations that might emerge through, transdisciplinary conversations in child and youth care.     

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.