Factor Analysis via Components Analysis

When the factor analysis model holds, component loadings are linear combinations of factor loadings, and vice versa. This interrelation permits us to define new optimization criteria and estimation methods for exploratory factor analysis. Although this article is primarily conceptual in nature, an illustrative example and a small simulation show the methodology to be promising.     

A Sandwich-Type Standard Error Estimator of SEM Models with Multivariate Time Series

Structural equation models are increasingly used as a modeling tool for multivariate time series data in the social and behavioral sciences. Standard error estimators of SEM models, originally developed for independent data, require modifications to accommodate the fact that time series data are inherently dependent. In this article, we extend a sandwich-type standard error estimator of independent data to multivariate time series data. One required element of this estimator is the asymptotic covariance matrix of concurrent and lagged correlations among manifest variables, whose closed-form expression has not been presented in the literature. The performance of the adapted sandwich-type standard error estimator is evaluated using a simulation study and further illustrated using an empirical example.     

Kullback–Leibler Information and Its Applications in Multi-Dimensional Adaptive Testing

This paper first discusses the relationship between Kullback–Leibler information (KL) and Fisher information in the context of multi-dimensional item response theory and is further interpreted for the two-dimensional case, from a geometric perspective. This explication should allow for a better understanding of the various item selection methods in multi-dimensional adaptive tests (MAT) which are based on these two information measures. The KL information index (KI) method is then discussed and two theorems are derived to quantify the relationship between KI and item parameters. Due to the fact that most of the existing item selection algorithms for MAT bear severe computational complexity, which substantially lowers the applicability of MAT, two versions of simplified KL index (SKI), built from the analytical results, are proposed to mimic the behavior of KI, while reducing the overall computational intensity.     

“Why Am I so Anxious?” A Study of Attention Bias in Obsessive Compulsive Disorder

Previous research investigating attentional bias has produced intriguingly equivocal results. The present large-scale study explored attentional bias in subjects diagnosed with obsessive-compulsive disorder (OCD) and in a control group (n = 80) using the Emotional Stroop Test. Results clearly indicated poorer performances across the board amongst patients diagnosed with OCD compared to the control group, particularly in the case of anxiety-related stimuli. This paper discusses, in the light of current models of attentional bias towards threat in anxiety disorders, the processes whereby attentional bias towards anxiety stimuli might play a vital role in the causation and maintenance of OCD.     

Dynamic adaptation to history of trial difficulty explains the effect of congruency proportion on masked priming

In reaction time research, there has been an increasing appreciation that response-initiation processes are sensitive to recent experience and, in particular, the difficulty of previous trials. From this perspective, the authors propose an explanation for a perplexing property of masked priming: Although primes are not consciously identified, facilitation of target processing by a related prime is magnified in a block containing a high proportion of related primes and a low proportion of unrelated primes relative to a block containing the opposite mix (Bodner & Masson, 2001). In the present study, this phenomenon is explored with a parity (even/odd) decision task in which a prime (e.g., 2) precedes a target that can be either congruent (e.g., 4) or incongruent (e.g., 3). It is shown that the effect of congruence proportion with masked primes cannot be explained in terms of the blockwise prime-target contingency. Specifically, with masked primes, there is no congruency disadvantage in a block containing a high proportion of incongruent primes, but there is a congruency advantage when the block contains an equal proportion of congruent and incongruent primes. In qualitative contrast, visible primes are sensitive to the blockwise prime-target contingency. The authors explain the relatedness proportion effect found with masked primes in terms of a model according to which response-initiation processes adapt to the statistical structure of the environment, specifically the difficulty of recent trials. This account is supported with an analysis at the level of individual trials using the linear mixed effects model.     

American Medicine as Religious Practice: Care of the Sick as a Sacred Obligation and the Unholy Descent into Secularization

Modern medicine serves a religious function for modern Americans as a conduit through which science can be applied directly to the human body. The first half of this paper will focus on the theoretical foundations for viewing medicine as a religious practice arguing that just as a hierarchical structured authoritarian church historically mediated access to God, contemporary Western medicine provides a conduit by which the universalizable truths of science can be applied to the human being thereby functioning as a new established religion. I will then illustrate the many parallels between medicine and religion through an analysis of rituals and symbols surrounding and embedded within the modern practice of medicine. This analysis will pay special attention to the primacy placed on secret interior knowledge of the human body. I will end by responding to the hope for a “secularization of American medicine,” exploring some of the negative consequences of secularization, and arguing that, rather than seeking to secularize, American medicine should strive to use its religious features to offer hope and healing to the sick, in keeping with its historically religious legacy.     

Cancer Survivors’ Spiritual Well-Being and Use of Complementary Methods: A Report from the American Cancer Society’s Studies of Cancer Survivors

We examined associations between spiritual well-being and CAM use among 4,139 cancer survivors. We also explored the classification of religious/spiritual practices (R/S) as CAMs and alternative subscale structures of the Functional Assessment of Chronic Illness Therapy—Spiritual Well-being (FACIT-Sp). We evaluated three aspects of spirituality, Faith, Peace, and Meaning, and use of 19 CAMs in 5 domains. Mind–body methods were subdivided into R/S and non-R/S. All FACIT-Sp factors were associated with CAM use, but in different directions: Meaning and Faith were positively associated; Peace was negatively associated. Peace was negatively associated with R/S CAMs, but not non-R/S CAMs. The prevalence of CAM use dropped from 79.3 to 64.8% when R/S items were excluded. These findings confirm an association between spiritual well-being and CAM use, including some non-R/S CAMs, and provide evidence of the benefits of using the three-factor FACIT-Sp solution and treating R/S CAMs as a separate category.     

Religion and Health: Making Sense of a Disheveled Literature

A growing body of research suggests that religion may exert a beneficial effect on both physical and mental health. Unfortunately, the rapid growth of this literature has made it difficult to get a clear picture of what has been accomplished. This issue is addressed by presenting a conceptual model that focuses on the needs that are satisfied by religion. In the process, an effort is made to show how this conceptual scheme can be used to add greater coherence to the field.