Perceived physical competence and body image as predictors of perceived peer acceptance in adolescents

The purpose of this study was to investigate the relationships among perceived physical competence, body image, and peer acceptance. Body image was considered as a possible mediator of the relationships between perceived physical competence and peer acceptance. Adolescents (N = 838) completed questionnaires. Direct and indirect effects of perceived physical competence and body image on perceived peer acceptance were explored using structural equation modelling. Gender differences were found and the structural mediation model was a reasonable fit to the data; the pattern of relationships in the model was different for adolescent males and females.     

The ameliorating effect of oroxylin A on scopolamine-induced memory impairment in mice

Oroxylin A is a flavonoid and was originally isolated from the root of Scutellaria baicalensis Georgi., one of the most important medicinal herbs in traditional Chinese medicine. The aim of this study was to investigate the ameliorating effects of oroxylin A on memory impairment using the passive avoidance test, the Y-maze test, and the Morris water maze test in mice. Drug-induced amnesia was induced by administering scopolamine (1 mg/kg, i.p.) or diazepam (1 mg/kg, i.p.). Oroxylin A (5 mg/kg) significantly reversed cognitive impairments in mice by passive avoidance and the Y-maze testing (P<.05). Oroxylin A also improved escape latencies in training trials and increased swimming times and distances within the target zone of the Morris water maze (P<.05). Moreover, the ameliorating effects of oroxylin A were antagonized by both muscimol and diazepam (0.25 mg/kg, i.p., respectively), which are GABA(A) receptor agonists. Furthermore, oroxylin A (100 microM) was found to inhibit GABA-induced inward Cl(-) current in a single cortical neuron. These results suggest that oroxylin A may be useful for the treatment of cognitive impairments induced by cholinergic dysfunction via the GABAergic nervous system.     

Are supervisors and coworkers likely to witness employee counterproductive work behavior? An investigation of observability and self–observer convergence

Supervisor and coworker ratings (i.e., “observer ratings”) remain a common manner of measuring counterproductive work behavior (CWB) despite long‐standing doubts that observers have the opportunity to witness the work behaviors they are expected to rate. We conducted 2 studies that evaluated the observability of CWB items and consequences of observability. First, we show that many CWBs are unlikely to be witnessed by supervisors or coworkers—specifically, behaviors such as “spends too much time fantasizing or daydreaming instead of working” and “discussed confidential company information with an unauthorized person” were found to be lowest in observability, whereas “cursed at someone at work” or “acted rudely toward someone at work” were relatively higher in observability (though observability was generally low). Second, a meta‐analysis revealed variability in item‐level relationships (correlations and mean differences) between self‐ratings and observer ratings for specific CWB scale items (i.e., items from Bennett & Robinson, 2,000). Important, this variability was partially explained by observability—behaviors with low self–observer convergence tend to have low levels of observability, whereas behaviors with higher levels of convergence tend to have higher levels of observability. This study demonstrates that supervisor and coworker ratings of CWB may be susceptible to an observability bias resulting from rating behaviors they have not likely witnessed.     

South Korean counselors’ perceived multicultural counseling competence: Relationship with openness to experience,perceived general counseling competence,and multicultural counseling education/practice

This study investigated variables related to the perceived multicultural counseling competence (MCC) of South Korean counselors. The relationship between perceived MCC and demographic information was explored, and effects of openness to experience, general counseling competence, and multicultural counseling education/practice on perceived MCC were examined.  Results revealed no relationship with demographic information and perceived MCC and significant effects of general counseling competence and multucultural counseling education/practice on perceived MCC. Implications for multicultural counseling training and future research are discussed.     

A modular approach for item response theory modeling with the R package flirt

The new R package flirt is introduced for flexible item response theory (IRT) modeling of psychological, educational, and behavior assessment data. flirt integrates a generalized linear and nonlinear mixed modeling framework with graphical model theory. The graphical model framework allows for efficient maximum likelihood estimation. The key feature of flirt is its modular approach to facilitate convenient and flexible model specifications. Researchers can construct customized IRT models by simply selecting various modeling modules, such as parametric forms, number of dimensions, item and person covariates, person groups, link functions, etc. In this paper, we describe major features of flirt and provide examples to illustrate how flirt works in practice.     

An autoregressive growth model for longitudinal item analysis

A first-order autoregressive growth model is proposed for longitudinal binary item analysis where responses to the same items are conditionally dependent across time given the latent traits. Specifically, the item response probability for a given item at a given time depends on the latent trait as well as the response to the same item at the previous time, or the lagged response. An initial conditions problem arises because there is no lagged response at the initial time period. We handle this problem by adapting solutions proposed for dynamic models in panel data econometrics. Asymptotic and finite sample power for the autoregressive parameters are investigated. The consequences of ignoring local dependence and the initial conditions problem are also examined for data simulated from a first-order autoregressive growth model. The proposed methods are applied to longitudinal data on Korean students’ self-esteem.     

The Suicidal Narrative and Its Relationship to the Suicide Crisis Syndrome and Recent Suicidal Behavior

In this study, we introduce the construct of the suicidal narrative, a hypothetical personal narrative linked to imminent suicide, and explore its relationship to near‐term suicidal risk and the suicide crisis syndrome (SCS). Psychiatric outpatients (N = 289) were administered the Columbia Suicide‐Severity Rating Scale (C‐SSRS), Suicide Crisis Inventory (SCI), and Suicide Narrative Inventory (SNI), a novel instrument combining the documented risk factors of Thwarted Belongingness, Perceived Burdensomeness, Humiliation, Social Defeat, Goal Disengagement, and Goal Reengagement. Dimensional measures of past month, lifetime, and past suicidal phenomena, incorporating ideation and behavior, were calculated from the C‐SSRS. Structural equation modeling was used to explore the interaction among variables. Factor analysis of the SNI yielded two orthogonal factors, termed Interpersonal and Goal Orientation. The former factor was comprised of Perceived Burdensomeness, Social Defeat, Humiliation, and Thwarted Belongingness, the latter of Goal Disengagement and Goal Reengagement. The Interpersonal factor correlated with both SCS severity and suicidal phenomena in each time frame and the Goal Orientation factor with no other variable. As hypothesized, the proposed model was significant for the past month only. Our findings support the construct of the suicidal narrative and its function as a near‐term suicidal risk factor.     

Childhood Parental Death and Lifetime Suicide Attempt of the Opposite‐Gender Offspring in a Nationwide Community Sample of Korea

Although previous studies have shown that childhood parental death influences suicide attempts of their offspring, few studies have examined influence of gender and age at exposure. Koreans show the third highest suicide rate in the world, and many children and adolescents lost their parents during and after the Korean War. A total of 12,532 adults, randomly selected through a one‐person‐per‐household method, completed the Korean version of the Composite International Diagnostic Interview and questionnaire for suicidal ideation, plan, and attempt (response rate 80.2%). A total of 2,332 subjects experienced biological parental death in childhood (18.6%). Male suicide attempts were associated with age of exposure to maternal death from 0 to 4 years (adjusted OR = 4.48, 95% CI 1.32–15.18) and from 5 to 9 years (adjusted OR = 5.52, 95% CI 1.97–16.46), but not with paternal death, after adjusting for age, education years, marital status, monthly income, and psychiatric comorbidities. Female suicide attempts were associated with paternal death from 5 to 9 years (adjusted OR = 2.20, 95% CI 1.13–4.27), but not with maternal death. Childhood parental death is significantly associated with lifetime suicide attempt in the opposite‐gender offspring, especially when exposure occurs before age 10.     

Estimating Complex Measurement and Growth Models Using the R Package PLmixed

Measurement models, such as factor analysis and item response theory models, are commonly implemented within educational, psychological, and behavioral science research to mitigate the negative effects of measurement error. These models can be formulated as an extension of generalized linear mixed models within a unifying framework that encompasses various kinds of multilevel models and longitudinal models, such as partially nonlinear latent growth models. We introduce the R package PLmixed, which implements profile maximum likelihood estimation to estimate complex measurement and growth models that can be formulated within the general modeling framework using the existing R package lme4 and function optim. We demonstrate the use of PLmixed through two examples before concluding with a brief overview of other possible models.