Existential crises in two religious patients: Vicissitudes of faith and the emergence of the true self

The authors present two clinical cases involving an existential crisis which led the patients to lose what had been the foundation in their lives, their faith. Although the therapeutic settings differ – the first patient had a few psychotherapy sessions following a psychotic episode with a mystical background, while the second was in the final stage of analytic treatment – the authors highlight how in both clinical cases a loss of faith becomes a total and urgent crisis of the Self. The fracture which ensues seems to generate an intense engagement of the body which, paradoxically during a loss of faith, induces an experience of ecstasy of the kind that has traditionally been reported. In the first case the experience of ecstasy was lived first‐hand by the patient who thereafter redefined the psychotic breakdown as a “moment of truth”; whereas the second patient, through a deep projective identification, induces an eerie countertransferential feeling of ‘metaphysical’ shortfall in the agnostic psychoanalyst, triggering bewilderment, physical discomfort and awe in him. In both cases the authors believe that the notable somatic involvement may be correlated to a potentially profound and unprecedented contact with the True Self.     

Developmental dynamics between reading and math in elementary school

Reading and math attainment develop during elementary grades. Questions remain, though, about the co‐developmental nature of the relation between reading and math. This study examined dynamic, longitudinal pathways between reading and math in first through fourth grades. Participants of the study were 554 academically at‐risk children (M_age at the first assessment point = 6.57 years; SD = 0.38) from Texas Project Achieve. Children were assessed utilizing the Woodcock‐Johnson–III reading and math measures. Results from dynamic bivariate latent change score models indicated unidirectional longitudinal coupling effects from reading to math. Specifically, average and high levels of reading performance were associated with subsequent gains in math growth, in particular for below average performing children in math. In contrast, low levels of reading performance had negligible or no amplifying influences on change in math growth. The nature of the dynamics was replicated even when controlling for nonverbal cognitive abilities. Results demonstrated that good reading skills pave the way for children to develop their math skills. Such findings underscore the importance of considering reading performance in treating math difficulties.     

Scale Alignment in the Between-Item Multidimensional Partial Credit Model

In between-item multidimensional item response models, it is often desirable to compare individual latent trait estimates across dimensions. These comparisons are only justified if the model dimensions are scaled relative to each other. Traditionally, this scaling is done using approaches such as standardization—fixing the latent mean and standard deviation to 0 and 1 for all dimensions. However, approaches such as standardization do not guarantee that Rasch model properties hold across dimensions. Specifically, for between-item multidimensional Rasch family models, the unique ordering of items holds within dimensions, but not across dimensions. Previously, Feuerstahler and Wilson described the concept of scale alignment, which aims to enforce the unique ordering of items across dimensions by linearly transforming item parameters within dimensions. In this article, we extend the concept of scale alignment to the between-item multidimensional partial credit model and to models fit using incomplete data. We illustrate this method in the context of the Kindergarten Individual Development Survey (KIDS), a multidimensional survey of kindergarten readiness used in the state of Illinois. We also present simulation results that demonstrate the effectiveness of scale alignment in the context of polytomous item response models and missing data.     

Accidentally True Beliefs and the Williamsonian Mental State of Knowing

In this paper, I will explore some philosophical implications of Williamson’s thesis that knowing is a state of mind (KSM). Using the fake barn case, I will introduce a way to evaluate Williamson’s KSM thesis and determine whether the Williamsonian mental state of knowing can be plausibly distinguished from certain other similar but epistemologically distinctive states of mind (i.e., accidentally true beliefs). Then, some tentative externalist accounts of the supposed differences between the Williamsonian mental state of knowing and accidentally true beliefs will be critically assessed, implying that the evaluated traditional versions of externalism in semantics and epistemology do not fit well with Williamson’s KSM thesis. Ultimately, I suggest that the extended-mind or extended-knower approach may be more promising, which indicates that active externalism would be called for by Williamson’s KSM thesis.     

An evaluation of progressively increasing intertrial intervals on the acquisition and generalization of three social skills

We evaluated the effects of different intertrial intervals (ITIs; time between programmed learning opportunities) on the acquisition and generalization of 2 preschoolers' social skills. Independent and generalized skills were observed only when the daily ITI was gradually increased from short to progressively longer intervals.     

7-10岁学龄儿童ADHD筛查研究

用SDQ（家长版）对上海10所小学二至四年级学生进行测查,以探求被试的ADHD症状表现,锁定ADHD高风险儿童。结果：（1）男生ADHD得分偏高（p<.01）,但女生在红橙两个级别内的百分数均高于男生;（2）9岁被试的ADHD得分分布最分散,占男生ADHD红色级别的比例最大,在女生ADHD得分中均值最大;（3）红橙两个级别为高风险级别。结论：（1）9岁是ADHD症状表现最严重的年龄;（2）女生具有更高的ADHD风险;（3）ADHD高风险被试晒出率：男生14.4%,女生17.4%。     

Establishing a trait anxiety threshold that signals likelihood of anxiety disorders

Abstract

Evidence suggests that the State Trait Inventory for Cognitive and Somatic Anxiety (STICSA) may be a more pure measure of anxiety than other commonly used scales. Further, the STICSA has excellent psychometric properties in both clinical and nonclinical samples. The present study aimed to extend the utility of the STICSA – Trait version by identifying a cut-off score that could differentiate a group of clinically diagnosed anxiety disorder patients (n=398) from a group of student controls (n =439). Two receiver operating characteristic curve analyses indicated cut-off scores of 43 (sensitivity=.73, specificity=.74, classification accuracy=.74) and 40 (sensitivity=.80, specificity=.67, classification accuracy=.73), respectively. In a large community sample (n =6685), a score of 43 identified 11.5% of individuals as probable cases of clinical anxiety, while a score of 40 identified 17.0% of individuals as probable cases of clinical anxiety. As a result of differences in sensitivity and specificity, the present findings suggest a cut-off score of 43 is optimal to identify probable cases of clinical anxiety, while a cut-off score of 40 is optimal to screen for the possible presence of anxiety disorders.     

Constructing Confidence Intervals for Effect Size Measures of an Indirect Effect

Confidence intervals for an effect size can provide the information about the magnitude of an effect and its precision as well as the binary decision about the existence of an effect. In this study, the performances of five different methods for constructing confidence intervals for ratio effect size measures of an indirect effect were compared in terms of power, coverage rates, Type I error rates, and widths of confidence intervals. The five methods include the percentile bootstrap method, the bias-corrected and accelerated (BCa) bootstrap method, the delta method, the Fieller method, and the Monte Carlo method. The results were discussed with respect to the adequacy of the distributional assumptions and the nature of ratio quantity. The confidence intervals from the five methods showed similar results for samples of more than 500, whereas, for samples of less than 500, the confidence intervals were sufficiently narrow to convey the information about the population effect sizes only when the effect sizes of regression coefficients defining the indirect effect are large.     

Is the Flynn effect on g?: A meta-analysis

Black/White differences in mean IQ have been clearly shown to strongly correlate with g loadings, so large group differences on subtests of high cognitive complexity and small group differences on subtests of low cognitive complexity. IQ scores have been increasing over the last half century, a phenomenon known as the Flynn effect. Flynn effect gains are predominantly driven by environmental factors. Might these factors also be responsible for group differences in intelligence? The empirical studies on whether the pattern of Flynn effect gains is the same as the pattern of group differences yield conflicting findings. A psychometric meta-analysis on all studies with seven or more subtests reporting correlations between g loadings and standardized score gains was carried out, based on 5 papers, yielding 11 data points (total N = 16,663). It yielded a true correlation of − .38, and none of the variance between the studies could be attributed to moderators. It appears that the Flynn effect and group differences have different causes. Suggestions for future research are discussed.