Student mental health: how can psychiatrists better support the work of university medical centres and university counselling services?

Student psychiatric morbidity is rising. Whilst the influence of university counselling services is widely reported, NHS involvement by psychiatrists and general practitioners is not so well described. Counselling and mental health service providers for students at the University of Leeds were approached for numerical data and a university Group on Student Mental Health discussed the findings. The Student Counselling Centre, the University Medical Practice and a dedicated student psychiatric clinic have all seen a rise in referral rates. The University Medical Practice has also seen a rise in the prescribing of psychoactive medication. Collaborative links at the University of Leeds are explored and options for the future discussed. These include self-help over the internet, a research project to assess student mental health needs and the provision of a dedicated NHS psychiatric team for the university.     

Facial expression categorization by chimpanzees using standardized stimuli

The ability to recognize and accurately interpret facial expressions are critical social cognition skills in primates, yet very few studies have examined how primates discriminate these social signals and which features are the most salient. Four experiments examined chimpanzee facial expression processing using a set of standardized, prototypical stimuli created using the new ChimpFACS coding system. First, chimpanzees were found to accurately discriminate between these expressions using a computerized matching-to-sample task, and recognition was impaired for all but one expression category when they were inverted. Third, a multidimensional scaling analysis examined the perceived dissimilarity among these facial expressions revealing 2 main dimensions, the degree of mouth closure and extent of lip-puckering and retraction. Finally, subjects were asked to match each facial expression category using only individual component features. For each expression category, at least 1 component movement was more salient or representative of that expression than the others. However, these were not necessarily the only movements implicated in subject's overall pattern of errors. Therefore, similar to humans, both configuration and component movements are important during chimpanzee facial expression processing.     

The role of body-based sensory information in the acquisition of enduring spatial representations

Although many previous studies have shown that body-based sensory modalities such as vestibular, kinesthetic, and efferent information are useful for acquiring spatial information about one's immediate environment, relatively little work has examined how these modalities affect the acquisition of long-term spatial memory. Three groups of participants learned locations along a 146 m indoor route, and subsequently pointed to these locations, estimated distances between them, and constructed maps of the environment. One group had access to visual, proprioceptive, and inertial information, another had access to matched visual and matched inertial information, and another had access only to matched visual information. In contrast to previous findings examining transient, online spatial representations, our results showed very few differences among groups in the accuracy of the spatial memories acquired. The only difference was the improved pointing accuracy of participants who had access to proprioceptive information relative to that of participants in the other conditions. Results are discussed in terms of differential sensory contributions to transient and enduring spatial representations.     

Is body checking in the eating disorders more closely related to diagnosis or to symptom presentation?

Body checking behaviours and cognitions are seen as underlying the core pathology of eating disorders-the over-evaluation of eating, shape and weight. While it has been demonstrated that levels of behaviours and cognitions differentiate eating-disordered women from non-eating-disordered women, little is known with regard to how these findings relate to diagnostic group. This study aimed to determine whether body checking cognitions and behaviours are best understood with regard to diagnostic category or symptom presentation. Eighty-four eating-disordered women (with diagnoses of anorexia nervosa, bulimia nervosa, binge eating disorder or other Eating Disorders Not Otherwise Specified) completed measures of body checking behaviours and cognitions and eating psychopathology. Results showed that different aspects of body checking were more closely associated with diagnosis and with symptom presentation. Anorexia nervosa and binge-eating-disorder patients had particularly low levels of body checking behaviours and some related cognitions. However, the belief that body checking allows one to be accurate in knowing one's weight was associated with binging and vomiting behaviours, rather than diagnosis. Future directions for research include understanding the links between body checking phenomena and neurological features. Clinical implications are discussed.     

Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices

The Schmid–Leiman (S–L; Psychometrika 22: 53–61, 1957) transformation is a popular method for conducting exploratory bifactor analysis that has been used in hundreds of studies of individual differences variables. To perform a two-level S–L transformation, it is generally believed that two separate factor analyses are required: a first-level analysis in which k obliquely rotated factors are extracted from an observed-variable correlation matrix, and a second-level analysis in which a general factor is extracted from the correlations of the first-level factors. In this article, I demonstrate that the S–L loadings matrix is necessarily rank deficient. I then show how this feature of the S–L transformation can be used to obtain a direct S–L solution from an unrotated first-level factor structure. Next, I reanalyze two examples from Mansolf and Reise (Multivar Behav Res 51: 698–717, 2016) to illustrate the utility of ‘best-fitting’ S–L rotations when gauging the ability of hierarchical factor models to recover known bifactor structures. Finally, I show how to compute direct bifactor solutions for non-hierarchical bifactor structures. An online supplement includes R code to reproduce all of the analyses that are reported in the article.     

Supervisors' behavior during new employees' socialization: scale development

This study developed a 16-item scale to measure specifically the construct of Intended Socialization Behavior of the supervisor during new employees' socialization. Data were collected from 178 subjects representing six midwestern organizations. The organizations ranged in size from 100 to 1,001+ employees and represented multiple industries. The subjects included 74 subordinates (with less than 1 year tenure at the organizations) and 93 supervisors. Both the subordinate and the supervisor groups were predominantly male, and the subordinate group was primarily younger than the supervisor group.     

View combination: a generalization mechanism for visual recognition

We examined whether view combination mechanisms shown to underlie object and scene recognition can integrate visual information across views that have little or no three-dimensional information at either the object or scene level. In three experiments, people learned four “views” of a two dimensional visual array derived from a three-dimensional scene. In Experiments 1 and 2, the stimuli were arrays of colored rectangles that preserved the relative sizes, distances, and angles among objects in the original scene, as well as the original occlusion relations. Participants recognized a novel central view more efficiently than any of the Trained views, which in turn were recognized more efficiently than equidistant novel views. Experiment 2 eliminated presentation frequency as an explanation for this effect. Experiment 3 used colored dots that preserved only identity and relative location information, which resulted in a weaker effect, though still one that was inconsistent with both part-based and normalization accounts of recognition. We argue that, for recognition processes to function so effectively with such minimalist stimuli, view combination must be a very general and fundamental mechanism, potentially enabling both visual recognition and categorization.     

Investigating the Performance of Alternate Regression Weights by Studying All Possible Criteria in Regression Models with a Fixed Set of Predictors

We describe methods for assessing all possible criteria (i.e., dependent variables) and subsets of criteria for regression models with a fixed set of predictors, x (where x is an n×1 vector of independent variables). Our methods build upon the geometry of regression coefficients (hereafter called regression weights) in n-dimensional space. For a full-rank predictor correlation matrix, R _xx, of order n, and for regression models with constant R ² (coefficient of determination), the OLS weight vectors for all possible criteria terminate on the surface of an n-dimensional ellipsoid. The population performance of alternate regression weights—such as equal weights, correlation weights, or rounded weights—can be modeled as a function of the Cartesian coordinates of the ellipsoid. These geometrical notions can be easily extended to assess the sampling performance of alternate regression weights in models with either fixed or random predictors and for models with any value of R ². To illustrate these ideas, we describe algorithms and R (R Development Core Team, 2009) code for: (1) generating points that are uniformly distributed on the surface of an n-dimensional ellipsoid, (2) populating the set of regression (weight) vectors that define an elliptical arc in ℝ ⁿ , and (3) populating the set of regression vectors that have constant cosine with a target vector in ℝ ⁿ . Each algorithm is illustrated with real data. The examples demonstrate the usefulness of studying all possible criteria when evaluating alternate regression weights in regression models with a fixed set of predictors.