Analytic Idealizations and the Disavowed: Winnicott,His Patients,and Us

This paper explores the dynamics of mutual idealization within the analytic dyad. While the subject of idealization is not a new one, very little has been written about the analyst's own participation in patients' idealizations or her vulnerability to idealizing the patient. I use both published and unpublished materials to muse about coconstructed idealizations as they appear to have coalesced in Winnicott's treatment of Masud Khan and Harry Guntrip. Because the notion that we might be involved in being idealized by our patients—or in idealizing them—collides with our professional vision, we tend to be highly resistant to acknowledging these dynamics and often turn to denigration when they are unmasked. I argue for the ubiquity of idealization's dynamics and against the demonization of Winnicott.     

Cross-Ethnic Measurement Equivalence of the RCMAS in Latino and White Youth With Anxiety Disorders

In normal vision, the various “gestalt-free” combinations which form early in a percept, are repressed by the emergence of the veridical composite perception; but in schizophrenic vision, with its inadequate repressive powers, the early combinations emerge as the completed composite. This completed composite, if at all veridical, is so only partially. Rorschach studies support the idea of a range of perceptual abortions among schizophrenics, varying directly with the process-reactive range.     

Gender Differences in Problem Solving: Expectancy and Problem Context

In this study, we investigated gender differences in problem solving as a function of problem context and expectations for success. Subjects were 90 women and 56 men from introductory psychology classes who were administered a set of mathematical problems varying in gender context under male-expectancy, female-expectancy, and neutral-expectancy conditions. No significant gender differences or interaction of gender with problem context were found. However, significant effects of problem context and expectancy were found. Both male and female subjects made higher scores on female-context problems and lower scores in the female-expectancy condition. When mathematics aptitude was used as a covariate, an interaction of gender with expectancy was found. Men in the female-expectancy condition made significantly lower scores than either men or women in the male-expectancy condition.     

The effects of relationship context and modality on ratings of funniness

There is evidence to suggest that humour is an important part of mate choice and that humour may serve as an indicator of genetic quality. The current study investigated how rated funniness from a video clip was related to an individual’s attractiveness as a short-term or long-term partner. We additionally tested for the presence of an attractiveness halo effect on humour ratings by comparing ratings of funniness from video clips, audio-only presentations, and photographs. We found that funniness was most strongly correlated with attractiveness for short-term relationships, especially in videos of males. We also found that attractiveness was related to funniness ratings differently across video, audio-only clips, and photographs. Relative to their rated funniness in the audio-only condition, with no appearance cues, attractive individuals were rated as funnier in video clips than less attractive individuals. An additional study demonstrated that ratings of flirtatiousness and funniness were strongly correlated. Perceived similarity between producing humour and flirting may explain why humour is more preferable in a short-term partner as flirting may be seen to signal proceptivity. The effects of attractiveness on humour judgement may also be explained by an association with flirtation as flirting may be most enjoyable when directed by attractive individuals.     

Using Principal Components as Auxiliary Variables in Missing Data Estimation

To deal with missing data that arise due to participant nonresponse or attrition, methodologists have recommended an “inclusive” strategy where a large set of auxiliary variables are used to inform the missing data process. In practice, the set of possible auxiliary variables is often too large. We propose using principal components analysis (PCA) to reduce the number of possible auxiliary variables to a manageable number. A series of Monte Carlo simulations compared the performance of the inclusive strategy with eight auxiliary variables (inclusive approach) to the PCA strategy using just one principal component derived from the eight original variables (PCA approach). We examined the influence of four independent variables: magnitude of correlations, rate of missing data, missing data mechanism, and sample size on parameter bias, root mean squared error, and confidence interval coverage. Results indicate that the PCA approach results in unbiased parameter estimates and potentially more accuracy than the inclusive approach. We conclude that using the PCA strategy to reduce the number of auxiliary variables is an effective and practical way to reap the benefits of the inclusive strategy in the presence of many possible auxiliary variables.     

Multi-domain Models of Risk Factors for Depression and Anxiety Symptoms in Preschoolers: Evidence for Common and Specific Factors

Relatively few studies have examined multiple pathways by which risk factors from different domains are related to symptoms of anxiety and depression in young children; even fewer have assessed risks for these symptoms specifically, rather than for internalizing symptoms in general. We examined a theoretically- and empirically-based model of variables associated with these symptom types in a diverse community sample of 796 4-year-olds (391 boys, 405 girls) that included factors from the following domains: contextual (SES, stress and family conflict); parent characteristics (parental depression); parenting (support/engagement, hostility and scaffolding); and child characteristics including negative affect (NA) effortful control (EC) sensory regulation (SR), inhibitory control (IC) and attachment. We also compared the models to determine which variables contribute to a common correlates of symptoms of anxiety or depression, and which correlates differentiate between those symptom types. In the best-fitting model for these symptom types (a) SES, stress and conflict had indirect effects on both symptom types via long-chain paths; (b) caregiver depression had direct effects and indirect ones (mediated through parenting and child effortful control) on both symptom types; (c) parenting had direct and indirect effects (via temperament and SR); and temperament had direct effects on both symptom types. These data provide evidence of common risk factors, as well as indicate some specific pathways/mediators for the different symptom types. EC was related to anxiety, but not depression symptoms, suggesting that strategies to improve child EC may be particularly effective for treatment of anxiety symptoms in young children.     

Learning Impacts of a Digital Augmentation in a Science Museum

ABSTRACT

This study investigated the effects of using digital augmentation to enhance an exhibit device to influence conceptual understanding about a science topic in a science museum setting. In particular, the study considered how students in Grades 6–8 engaged with the device that was available in both augmented and nonaugmented (control) conditions. Results show increased cognitive (critical thinking) skills when the digital augmentation was present that we hypothesize led to increased conceptual gains. We illustrate how this research contributes to three important areas of need identified in informal science literature: the need for evidence of conceptual and cognitive gains; the need for understanding how digital platforms improve the learning experience; and the need to demonstrate how designed interactive devices may impact higher order skills such as critical thinking and theorizing.