The relationship between anxiety sensitivity and latent symptoms of emotional problems: A structural equation modeling approach

A large body of research suggests that common and specific psychopathology dimensions underlie the symptoms that occur within mood and anxiety disorders. As of yet, it is unclear precisely how the facets of Anxiety Sensitivity (AS), or fear of the symptoms of fear and anxiety, relate to these latent factors. Using data from 606 adolescents participating in the baseline phase of a longitudinal study on risk factors for emotional disorders, we modeled the facets of AS as measured by the Anxiety Sensitivity Index-Expanded Form (ASI-X) and related these facets to a hierarchical model of latent symptoms of psychological distress. Results suggest that one facet of AS is associated with a broad General Distress factor underlying symptoms of most emotional disorders while others relate to intermediate-level and conceptually-meaningful narrow factors representing aspects of psychological distress specific to particular emotional disorders.     

Developing a screening instrument and at-risk profile for nonsuicidal self-injurious behavior in college women and men

Archival data (N = 1,048 women, 1,136 men) from a mental health survey of college students were used to investigate incidence of nonsuicidal self-injury (NSSI), including cutting. Significant levels (defined as 4-5 lifetime incidents) were found in 9.3% of women and 5.3% of men. The Counseling Center Assessment for Psychological Symptoms (a global symptom inventory) and an assessment of trauma had been field tested with this sample. We randomly partitioned half of these data into a holdout sample and used the remainder to develop an NSSI screening inventory that included (a) 5 women's screening items, including 1 item to assess trauma experienced; (b) 11 men's screening items; and (c) 12 items common to men and women, including depression, dissociation, anger, unwanted thoughts, nightmares or flashbacks, and having witnessed trauma. Logistic regression and receiver-operating characteristic curve analysis suggested the inventory significantly discriminated NSSI men and women in the holdout sample, p < .001. Cutoff scores were identified to correctly classify about 48% of the true positive male and female NSSI cases, with false positive rates of 13.2% and 8.4% for women and men, respectively.     

Whatever does not kill us: cumulative lifetime adversity, vulnerability, and resilience

Exposure to adverse life events typically predicts subsequent negative effects on mental health and well-being, such that more adversity predicts worse outcomes. However, adverse experiences may also foster subsequent resilience, with resulting advantages for mental health and well-being. In a multiyear longitudinal study of a national sample, people with a history of some lifetime adversity reported better mental health and well-being outcomes than not only people with a high history of adversity but also than people with no history of adversity. Specifically, U-shaped quadratic relationships indicated that a history of some but nonzero lifetime adversity predicted relatively lower global distress, lower self-rated functional impairment, fewer posttraumatic stress symptoms, and higher life satisfaction over time. Furthermore, people with some prior lifetime adversity were the least affected by recent adverse events. These results suggest that, in moderation, whatever does not kill us may indeed make us stronger.     

Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis

This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found. Conditions under which monotonic relationships do not exist are also identified. Such functional relationships allow researchers to better understand the problem when significant factor loading estimates are expected but not obtained, and vice versa. What will affect the likelihood for Heywood cases (negative unique variance estimates) is also explicit through these relationships. Empirical findings in the literature are discussed using the obtained results.     

Quasicrystalline Al-Fe phase formed by ion mixing

Abstract

A quasicrystalline Al-Fe phase has been formed by room-temperature ion mixing of AI-Fe multiple layers with no additional postannealing. The quasicrystalline phase was dispersed as grain in an amorphous matrix. The size of the grains was about 10-30nm, and the composition was determined to be Al₈₀Fe₂₀. The structure of the quasicrystalline phase was identified by calculating some 20 sharp diffraction rings in the selected-area diffraction pattern and found to be similar to that of the rapidly quenched AI-Mn quasicrystalline phase.     

The Process Mechanisms Linking Recruiter Positive Moods and Organizational Attraction

The main purpose of this study is to investigate the mechanisms through which recruiters' positive moods lead to organizational attraction. Participants consisted of 161 applicant–recruiter dyads from 55 companies in Taiwan. Results show that recruiters' felt positive moods were positively related to applicant's perceptions of informativeness and competence, which, in turn, influenced organizational attraction. In addition, recruiters felt that positive moods were positively related to their display of positive moods, which were positively related to applicant's positive moods, which, in turn, affected organizational attraction.     

Remembering the past and imagining the future: A role for nonvisual imagery in the everyday cognition of blind and sighted people

Past research has associated depression with memory biases pertaining to the frequency, duration, and specificity of past events. Associations have been proposed between both negative and positive memory biases and depression symptoms. However, research has not examined the occurrence of actual events over time in the study of memory bias. To address these limitations and investigate whether a negative or positive memory bias is associated with symptoms of depression, we collected weekly data on specific types of life events over a 4-year period from a sample of college students, and asked students to recall event frequency at the end of that period. Exaggerated recall of frequency for positive events but not other types of events was associated with depression symptoms, using both continuous and categorical measures. Moderator analyses indicated that these effects were evidenced primarily for memories involving the self and among individuals low in trait self-enhancement. The current study indicates that positive memory-frequency bias is an important type of memory bias associated with symptoms of depression. Results support the idea that the link between memory bias for positive event frequency and depressed mood arises out of a current-self vs past-self comparison.     

元认知在线监控和离线监控与一般元认知能力的关系

该研究探索元认知在线监控和离线监控与一般元认知能力之间的关系,采用跟踪击键任务、学习判断任务和大学生元认知能力量表,对40名大学生进行研究。结果表明:(1)元认知离线监控对一般元认知能力各个子成分的预测作用受元认知在线监控的影响;(2)元认知在线、离线监控对一般元认知能力的预测作用是彼此独立的。     

Scientific Discovery With Law-Encoding Diagrams

This article introduces the concept of law-encoding diagrams (LEDs) and presents the argument that they have had a role in scientific discovery that has not been previously recognized. An LED is a representation that correctly encodes the underlying relations of a law, or a system of simultaneous laws, in the structure of a diagram by the means of geometric, topological, and spatial constraints, such that the instantiation of a particular diagram represents a single instance of the phenomena or a particular case of the law(s). Examples of LEDs in the history of science are discussed, and the benefits of using LEDs in discovery are considered. LEDs are distinguished from other forms of diagrammatic representation. Previous work on the computational modeling of diagrammatic law induction is reinterpreted in terms of the search for diagrammatic constraints of LEDs. A general characterization of the role of LEDs in discovery is considered, and a framework for classifying processes of discovery based on LEDs is proposed.