Cognitive-behavior therapy with children: Developmental reconsiderations

The present paper reconsiders the role of developmental theory in the use of cognitive-behavior therapy (CBT) with children. The implication of Piaget's theory of cognitive development and Selman's social perspectivetaking theory are reviewed briefly in regard to CBT. It is argued that the assessment of both logical/analytical thought structures and social perspective-taking abilities may be useful in planning a course of CBT with children.Andrew Kinney, Ph.D., is an Associate Fellow at the Institute for Rational-Emotive Therapy, New York City. He is an Assistant Professor of Psychology at Mohawk Valley Community College, Utica, NY, and an Adjunct Lecturer of psychology at the State University of New York Institute of Technology at Utica/Rome, NY.     

Culturally grounded strategies for suicide and alcohol risk prevention delivered by rural Alaska Native communities: A dynamic wait-listed design evaluation of the Qungasvik intervention

We examined the effectiveness of the Qungasvik (Tools for Life) intervention in enhancing protective factors as a universal suicide and alcohol prevention strategy for young people ages 12−18 living in highly affected rural Alaska Native communities. Four communities were assigned to immediate intervention or to a dynamic wait list. Outcomes were analyzed for 239 young people at four time points over two years of community intervention. Outcomes assessed two ultimate variable protective factors buffering suicide and alcohol risk, and three intermediate variable protective factors at the individual, family, and community level. Dose dependent intervention effects were associated with growth in ultimate but not intermediate variables. This evaluation of the Qungasvik intervention provides support for the effectiveness of its Indigenous strategies for suicide and alcohol misuse prevention in this rural Alaska Native setting. Though findings did not provide support for a theory of change where growth in ultimate variables is occasioned through effects on intermediate variables, research designs focused on young people who enter intervention at lower levels of preexisting protection hold promise for better understanding of intervention change processes. The Qungasvik intervention is responsive to an acute public health need for effective rural Alaska Native suicide and alcohol risk prevention strategies.     

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.