Heterogeneous factor analysis models: A bayesian approach

Multilevel factor analysis models are widely used in the social sciences to account for heterogeneity in mean structures. In this paper we extend previous work on multilevel models to account for general forms of heterogeneity in confirmatory factor analysis models. We specify various models of mean and covariance heterogeneity in confirmatory factor analysis and develop Markov Chain Monte Carlo (MCMC) procedures to perform Bayesian inference, model checking, and model comparison.We test our methodology using synthetic data and data from a consumption emotion study. The results from synthetic data show that our Bayesian model perform well in recovering the true parameters and selecting the appropriate model. More importantly, the results clearly illustrate the consequences of ignoring heterogeneity. Specifically, we find that ignoring heterogeneity can lead to sign reversals of the factor covariances, inflation of factor variances and underappreciation of uncertainty in parameter estimates. The results from the emotion study show that subjects vary both in means and covariances. Thus traditional psychometric methods cannot fully capture the heterogeneity in our data.     

Research in Emergency and Critical Care Settings: Debates,Obstacles and Solutions

Research is an integral part of evidence-based practice in the emergency department and critical care unit that improves patient management. It is important to understand the need and major obstacles for conducting research in emergency settings. Herein, we review the literature for the obligations, ethics and major implications of emergency research and the associated limiting factors influencing research activities in critical care and emergency settings. We reviewed research engines such as PubMed, MEDLINE, and EMBASE for the last two decades using the key words “emergency department”, “critical care”, “research”, “consent”, and “ethics” as the search terms. Research within emergency settings is slow or non-existent due to time and financial constraints as well as the lack of a research tradition. There are several barriers to conducting research studies in emergency situations such as who, what, when, and how to obtain patient consent. The emergency environment is highly pressurized, emotional, and overburdened. The time taken for research is a particular risk that could delay the desired immediate interventions. Ethical issues abound, particularly relating to informed consent. Research in emergency settings is still in its infancy. Thus, there is a strong need for extensive research in the emergency setting through community awareness, resource management, ethics, collaborations, capacity building, and the development of a research interest for the improvement of patient care and outcomes. We need to establish a well-structured plan to assess and track the decision-making capacity, consider a multistep enrolment and consent strategy, and develop an integrated approach for recruitment into studies.     

Bayesian factor analysis for multilevel binary observations

Multilevel covariance structure models have become increasingly popular in the psychometric literature in the past few years to account for population heterogeneity and complex study designs. We develop practical simulation based procedures for Bayesian inference of multilevel binary factor analysis models. We illustrate how Markov Chain Monte Carlo procedures such as Gibbs sampling and Metropolis-Hastings methods can be used to perform Bayesian inference, model checking and model comparison without the need for multidimensional numerical integration. We illustrate the proposed estimation methods using three simulation studies and an application involving student's achievement results in different areas of mathematics. The authors thank Ian Westbury, University of Illinois at Urbana Champaign for kindly providing the SIMS data for the application.     

AN INTERDISCIPLINARY FRAMEWORK FOR ISLAMIC COGNITIVE THEORIES

The Islamic psychology (IP) community in Europe has recently witnessed a heated debate about the credentials required to participate in the theoretical substantiation of IP and Islamically integrated psychotherapy and counseling. This debate has provided convenient circumstances for Muslim psychologists and Islamic scholars alike to rethink their roles within the flourishing movement. Specifically, the discussions hint toward the importance of adopting a collaborative research methodology for IP, in particular for basic research. The methodology of choice will need to define the necessary qualifications and responsibilities of scholars and psychologists in a collaborative research process (personal collaboration) and evince its capability to appropriately marry knowledge and data, diverging research methods, and perspectives, concepts, and theories from Islamic studies and contemporary psychology (content‐related collaboration). Here, we devise and offer a case illustration of an Islamic Psychology Basic Research Framework (coined the SALAAM Framework). This framework uses the Institute for Interdisciplinary Studies (IIS) Model of Interdisciplinary Research, developed by the IIS at the University of Amsterdam. Our first aim is to appropriate the IIS model for the IP literature by applying the model's research process phases and technique for the integration of disparate bodies of knowledge—that is, the identification of common ground—to methodological approaches in the contemporary IP literature. Our second aim is to exemplify the devised SALAAM Framework using the relatively unexplored area of Islamic cognitive theories (ICTs), which remain underdeveloped in contemporary psychological literature, primarily because of a lack of commensurability with the nomenclature of contemporary psychology. We thus provide a primer on the potential scope of ICTs. Toward the end of this article, we discuss the potential of the project of interdisciplinary construction of Islamic psychological theory, and the ability of the SALAAM Framework to establish a research program in IP that centers on cognition. We finally offer our reflections on the distinctiveness of Islamic psychologies in comparison to mainstream and Christian psychology.     

Spiritual and Religious Healing Practices: Some Reflections from Saudi National Center for Complementary and Alternative Medicine,Riyadh

Traditional practices constituting spiritual and religious (S/R) healing are an important component of the holistic healthcare model and are used in health, well-being, and treating a variety of diseases around the world. The main focus of this review is to summarize the Complementary and Alternative Medicine (CAM) studies that especially target S/R healing practices in Saudi Arabia (SA) and discuss the results in light of relevant international literature. From year 2013–2017, electronic searches of PubMed, OvidSP, Google Scholar, and two publishing housing Web sites (Sciencedomain.com and Dove Medical Press.com) were made using key words and Boolean operators and retrieved thousands of published papers from peer-reviewed journals. Two independent reviewers decided to include a total of 108 articles: 48 from SA and 60 from other international literature. The sociodemographic variables of the participants varied in local studies and were comparable with international data. The frequency and types of religious and spiritual practices reported in local and international zones varied in accordance with religious belief, gender, age, education, and prevalent chronic diseases. Most of professionals and practitioners showed fairly good knowledge and positive attitude toward spiritual and religious practices used in diverse clinical and non-clinical situations across the world. Furthermore, it was observed that in the international scenario, S/R researches using specific religious screening tools have been conducted on different aspects of clinical application including self-care, social cohesion, negative impact, and child development, whereas regional studies targeting varied participants mainly focused on the epidemiological trends of S/R therapies in Saudi Arabia. CAM practitioners and public tend to show great interest in prescribed and self-use of religious and spiritual therapies across the world because of multiple dynamic forces, including positive effects on health, sense of well-being and disease control, cost-effectiveness, easy access to services, and improvement in quality of life. Further studies are needed to assess the effectiveness of different types of religious and spiritual therapies and practices used in specific diseases, their role in promotion of health and well-being, and prevention of diseases nationwide and across the world. Besides integration of S/R into mainstream treatment modalities, medical education curriculum, continuous medical education, and training programs are needed for bridging the knowledge, attitude, and practice gaps concerning CAM in targeted population groups such as medical professionals, CAM practitioners, medical students, public and traditional healers, not only in SA but also around the world.

     

Semiparametric Thurstonian Models for Recurrent Choices: A Bayesian Analysis

We develop semiparametric Bayesian Thurstonian models for analyzing repeated choice decisions involving multinomial, multivariate binary or multivariate ordinal data. Our modeling framework has multiple components that together yield considerable flexibility in modeling preference utilities, cross-sectional heterogeneity and parameter-driven dynamics. Each component of our model is specified semiparametrically using Dirichlet process (DP) priors. The utility (latent variable) component of our model allows the alternative-specific utility errors to semiparametrically deviate from a normal distribution. This generates a robust alternative to popular Thurstonian specifications that are based on underlying normally distributed latent variables. Our second component focuses on flexibly modeling cross-sectional heterogeneity. The semiparametric specification allows the heterogeneity distribution to mimic either a finite mixture distribution or a continuous distribution such as the normal, whichever is supported by the data. Thus, special features such as multimodality can be readily incorporated without the need to overtly search for the best heterogeneity specification across a series of models. Finally, we allow for parameter-driven dynamics using a semiparametric state-space approach. This specification adds to the literature on robust Kalman filters. The resulting framework is very general and integrates divergent strands of the literatures on flexible choice models, Bayesian nonparametrics and robust time series specifications. Given this generality, we show how several existing Thurstonian models can be obtained as special forms of our model. We describe Markov chain Monte Carlo methods for the inference of model parameters, report results from two simulation studies and apply the model to consumer choice data from a frequently purchased product category. The results from our simulations and application highlight the benefits of using our semiparametric approach.     

Self-esteem as mediator and moderator of the relationship between loneliness and life satisfaction in adolescents

In this study, the mediator and moderator effects of global self-esteem on the relationship between loneliness and global life satisfaction in adolescents were investigated. The participants were 439 students, between age range of 15–18, who were attending four different high schools in Turkey. Data were collected by using the UCLA loneliness scale, Rosenberg self-esteem scale, and the satisfaction with life scale. Hierarchical regression analysis showed that global self-esteem partially mediated the relationship between loneliness and global life satisfaction. However, global self-esteem did not moderate the relationship between loneliness and global life satisfaction. The results are discussed in terms of the conceptional context.     

Evidence for internal representation of a static nonlinearity in a visual tracking task

A group of 24 participants was given over 3 h practice at a visual pursuit tracking task with a pronounced static nonlinearity between movement of the joystick and the resulting deflection of the response cursor. The aim was twofold: (1) to determine whether or not participants compensated for the nonlinearity and (2) to show that any such compensation involved the formation of an internal representation of the nonlinear relationship between movement of the joystick as sensed kinaesthetically and/or visually and movement of the response cursor as sensed visually. Results show that participants introduce partial compensation for the static nonlinearity. Furthermore, partial compensation was present even during open-loop tracking when participants were deprived of visual feedback of the position of the response cursor. This implies that participants are able to form an internal representation of the nonlinear relationship between movement of the joystick and the resulting movement of the response cursor.