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.     

Commentaries on “Beyond statistical significance: Five principles for the new era of data analysis and reporting”

Three commentaries below provide different perspectives on data analysis and reporting. They generally focus on how the quality of the measures and manipulations determines the value of the analysis. Norbert Schwarz and Fritz Strack's comment is less on the right statistic and more on “sloppy reasoning, gaps between theoretical concepts and their operationalizations, and blissful ignorance of the situated nature of human thinking, feeling, and doing contribute more to the limited reproducibility of empirical findings than the choice of a particular test statistic.” They propose that particular effects are contextual and inappropriately labeled as true or false. Instead, our job is to focus on general constructs that make sense of the diversity of human experience and psychological reactions. Too often studies replicating psychological effects in the noisy and confounded conditions of the marketplace result in statistical uncertainty of garbage in, garbage out. Researchers instead need to look toward tests of specific interactions, which can clarify the influencing factors based on theoretical considerations. The second comment is by Andrew Gelman, an outstanding psychological statistician. He proposes that “once the data have been collected, the most important decisions have already been done.” He then provides four recommendations that enable the statistics to work appropriately. The first requirement of an effective study is to be sure that the measures address the construct of interest. Similar to the position of Schwarz and Strack, it is important to articulate the relevance of a statistically significant finding. The second recommendation seeks to curb large number of studies with inflated effect sizes built from narrow studies and unwarranted optimism. The third recommendation is to simulate data from a model and consider the distribution of possible results. That is often done to test a new analysis method, but it can be even more important in marketplace studies where novel characteristics of the sample and experimental conditions are included in the analysis. Finally, he recommends that one consider likely analyses needed before getting the data. Such foresight would encourage, for example, thinking about the kind of data needed to defend the equality of the control demographics against the treatment. The final commentary is by Stijn van Osselaer. He agrees that p-values reflect the detailed methods from a given study but do not focus on the problem of generalizability. Like Gelman, he sees designs focused on effect sizes may have generated too many studies that do not replicate. He contrasts broad explorations with narrowly defined existence tests that provide evidence that an effect exists somewhere but are mute on other contexts where they may apply. For theoretical problems relevant to applications, it is important to identify moderators through broad sampling across population characteristics, stimuli, and situations. He proposes that consumer psychologists should not try to do everything in one paper, but to build practically relevant, applicable knowledge across multiple articles. Different articles, authors, and research methods play various roles, with each article focusing on important stages in the process from generating hypotheses, providing existence proofs, and exploring their broad applicability. That pragmatic approach can integrate theoretical silos that seek to resolve complex human problems and has promise as a criterion for relevant publications.