IDENTITY AND THE BRAIN: THE BIOLOGICAL BASIS OF OUR SELF

This article reviews the neuroscientific understanding of the self and personal identity, focusing on various elements of inclusivity and exclusivity as well as engaging religious and spiritual perspectives. We will also consider how the identity is comprised of biological, social, and ideological or spiritual aspects, and how they are interconnected. We will consider how the brain helps us to construct and maintain our representation of the self and what happens when we have self-transcendent experiences. Such an evaluation will have implications for understanding the intersection between consciousness and the self. This information will be helpful from both the psychological and spiritual perspective for understanding human identity.     

Adapting Strauss and Corbin's grounded theory in clinical case study research in the field of counselling

Case study can be adopted when aiming to understand an individual's lived experience. Such experience produces rich and complex qualitative data for analysis, conducive to counselling and psychotherapy research. Furthermore, grounded theory (GT) can be adopted to produce a theory from qualitative data, fitting well with case study research that explores complex experiences regarding social, psychological and phenomenological processes. This paper aims to guide the counselling researcher to incorporate Strauss and Corbin's model into the main arena of qualitative counselling research. In addition, this paper draws on a multiple case study that adopted Strauss and Corbin's method and identified various phases in the GT process. The aim is to inform the reader how to put the iterative process and pragmatic theoretical sampling into practice to produce a robust theory from clinical case study data.     

Does partisan media make a pawn of mistrust? Institutional trust and preventive COVID-19 health behaviors in a polarized pandemic

In a rapidly developing crisis such as the COVID-19 pandemic, people are often faced with contradictory or changing information and must determine what sources to trust. Across five time points (N = 5902) we examine how trust in various sources predicts COVID-19 health behaviors. Trust in experts and national news predicted more engagement with most health behaviors from April 2020 to March 2022 and trust in Fox news, which often positioned itself as counter to the mainstream on COVID-19, predicted less engagement. However, we also examined a particular public health behavior (masking) before and after the CDC announcement recommending masks on 3 April 2020 (which reversed earlier expert advice discouraging masks for the general public). Prior to the announcement, trust in experts predicted less mask-wearing while trust in Fox News predicted more. These relationships disappeared in the next 4 days following the announcement and reversed in the 2 years that follow, and emerged for vaccination in the later time points. We also examine how the media trusted by Democrats and Republicans predicts trust in experts and in turn health behaviors. Broadly we consider how the increasingly fragmented epistemic environment has implications for polarization on matters of public health.     

A sequential exploratory diagnostic model using a Pólya-gamma data augmentation strategy

Cognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy binary response model using logistic item response functions within a Bayesian Gibbs sampling procedure. In this paper, we propose a sequential exploratory diagnostic model for ordinal response data using a logit-link parameterization at the category level and extend the Pólya-gamma data augmentation strategy to ordinal response processes. A Gibbs sampling procedure is presented for efficient Markov chain Monte Carlo (MCMC) estimation methods. We provide results from a Monte Carlo study for model performance and present an application of the model.     

Economy of Shadows: The Effects of Restrictive Regulation on Religiosity in China

Religion is permitted in China, but its practice is tightly regulated by the state. This paper uses individual-level longitudinal data to investigate the association between religious regulation and religious outcomes in China. Measures of regulation are constructed from instances of state action against Christians as well as Christian perceptions of unfair treatment by the government. In summary, as regulation increases, an individual is less likely to identify with a religion and less likely to say that religion is important. For those individuals without religious identification in either wave, regulation is negatively associated with religious importance. Yet, for those individuals with identification in one or two waves, regulation is either unassociated or even positively associated with importance. These findings contribute to research on regulation of religion and religion in China. More broadly, they demonstrate the state can wield considerable power over people's private lives but also that this power has limits.     

Children’s coding of human action: cognitive factors influencing imitaation in 3‐year‐old

We used imitation as a tool for investigating how young children code action. The study was designed to examine the errors children make in re‐enacting manual gestures they see. Thirty‐two 3‐year‐old children served as subjects. Each child was shown 24 gestures, generated by systematically crossing four factors: visual monitoring, spatial endpoint, movement path, and number of hands. The results showed no difference as a function of whether the children could visually monitor their own responses. Interestingly, children made significantly more errors when the adult's action terminated on a body part than they did when the same movement terminated near the body part. There were also significantly more errors when the demonstrated act involved crossing midline than when it did not, and more errors when it involved one hand rather than two hands. Our hypothesis is that human acts are coded in terms of goals. The goals are hierarchically organized, and because young children have difficulty simultaneously integrating multiple goals into one act they often re‐enact the goals that are ranked higher, which leads to the errors observed. We argue that imitation is an active reconstruction of perceived events and taps cognitive processing. We suggest that the goal‐based imitation in 3‐year‐olds is a natural developmental outgrowth of the perceptual–motor mapping and goal‐directed coding of human acts found in infancy.