Perception of size-related formant information in male koalas (Phascolarctos cinereus)

Advances in bioacoustics allow us to study the perceptual and functional relevance of individual acoustic parameters. Here, we use re-synthesised male koala bellows and a habituation-dishabituation paradigm to test the hypothesis that male koalas are sensitive to shifts in formant frequencies corresponding to the natural variation in body size between a large and small adult male. We found that males habituated to bellows, in which the formants had been shifted to simulate a large or small male displayed a significant increase in behavioural response (dishabituation) when they were presented with bellows simulating the alternate size variant. The rehabituation control, in which the behavioural response levels returned to that of the last playbacks of the habituation phase, indicates that this was not a chance increase in response levels. Our results provide clear evidence that male koalas perceive and attend to size-related formant information in their own species-specific vocalisations and suggest that formant perception is a widespread ability shared by marsupials and placental mammals, and perhaps by vertebrates more widely.     

Counselor Demographics,Ageist Attitudes,and Multicultural Counseling Competence Among Counselors and Counselor Trainees

The purpose of this study was to understand the relationship among counselors’ self‐reported multicultural counseling competence and their attitudes of the geriatric population. A statistically significant negative correlation was found between participants’ attitudes of the geriatric population and their self‐reported multicultural counseling competence. Implications for training and practice are provided.     

Neural correlates of automatic mood regulation in girls at high risk for depression

Daughters of depressed mothers are at significantly elevated risk for developing a depressive disorder themselves. We have little understanding, however, of the specific factors that contribute to this risk. The ability to regulate negative affect effectively is critical to emotional and physical health and may play an important role in influencing risk for depression. We examined whether never-disordered daughters whose mothers have experienced recurrent episodes of depression during their daughters' lifetime differ from never-disordered daughters of never-disordered mothers in their patterns of neural activation during a negative mood induction and during automatic mood regulation. Sad mood was induced in daughters through the use of film clips; daughters then recalled positive autobiographical memories, a procedure shown previously to repair negative affect. During the mood induction, high-risk girls exhibited greater activation than did low-risk daughters in brain areas that have frequently been implicated in the experience of negative affect, including the amygdala and ventrolateral prefrontal cortex. In contrast, during automatic mood regulation, low-risk daughters exhibited greater activation than did their high-risk counterparts in brain areas that have frequently been associated with top-down regulation of emotion, including the dorsolateral prefrontal cortex and dorsal anterior cingulate cortex. These findings indicate that girls at high and low risk for depression differ in their patterns of neural activation both while experiencing, and while repairing negative affect, and suggest that anomalies in neural functioning precede the onset of a depressive episode.     

Thin-slice perception develops slowly

Body language and facial gesture provide sufficient visual information to support high-level social inferences from "thin slices" of behavior. Given short movies of nonverbal behavior, adults make reliable judgments in a large number of tasks. Here we find that the high precision of adults' nonverbal social perception depends on the slow development, over childhood, of sensitivity to subtle visual cues. Children and adult participants watched short silent clips in which a target child played with Lego blocks either in the (off-screen) presence of an adult or alone. Participants judged whether the target was playing alone or not; that is, they detected the presence of a social interaction (from the behavior of one participant in that interaction). This task allowed us to compare performance across ages with the true answer. Children did not reach adult levels of performance on this task until 9 or 10 years of age, and we observed an interaction between age and video reversal. Adults and older children benefitted from the videos being played in temporal sequence, rather than reversed, suggesting that adults (but not young children) are sensitive to natural movement in social interactions.     

Spiritual Integration Predicts Self-Reported Mental and Physical Health

Data from 167 participants were used to establish the psychometric properties of the Reidhead spiritual integration scale, 31-item version (SI-31). Structural equation modeling was used to empirically evaluate influences on perceived health functioning, while accounting for possible confounds. The analyses showed that SI-31 predicted perceived mental and physical health while controlling for life satisfaction, religious variables, mood patterns, depression symptoms, and demographics. The importance of SI as a predictor of health-related outcomes is supported, as is the usefulness of the SI-31 in predicting these outcomes.     

The Regulatory Easy Street: Self-Regulation Below the Self-Control Threshold Does not Consume Regulatory Resources

We present and test a theory in which self-control is distinguished from broader acts of self-regulation when it is both effortful and conscious. In two studies, we examined whether acts of behavioral management that do not require effort are exempt from resource depletion. In Study 1, we found that a self-regulation task only reduced subsequent self-control for participants who had previously indicated that completing the task would require effort. In Study 2, we found that participants who completed a self-regulation task for two minutes did not evidence the subsequent impairment in self-control evident for participants who had completed the task for four or more minutes. Our results support the notion that self-regulation without effort falls below the self-control threshold and has different downstream consequences than self-control.     

Person and environmental factors associated with well-being in medical students

Medical students are exposed to demanding academic workloads and are often under considerable psychological strain. This study examined important person and environmental variables that might predict their psychological well-being. Participants were 755 students in years 2-6 from 11 Australian medical schools. A web-based survey assessed well-being, personality, professional expectations, lifestyle expectations, barriers, academic stress, and debt. A hierarchical regression analysis demonstrated that extraversion, conscientiousness, professional expectations, and lifestyle expectations were positively associated with well-being, while academic stress, which was the strongest predictor, neuroticism, and concern about debt were negatively associated. Medical students who displayed a disposition that was outgoing, conscientious, and stable, who were less stressed about their academic workload and their level of debt, and who held higher expectations for their future professional career, and expectations of a balanced lifestyle, had better well-being. Medical educators should be aware of these factors and provide support and strategies that promote well-being to students during medical training.     

Development and validation of a revised measure of codependency

This study assessed the factor structure, internal consistency, and concurrent validity of a revised instrument, the Composite Codependency Scale (CCS), a 19‐item measure designed to assess codependent traits. Exploratory factor analysis of the CCS, using data from 301 adults from the general population and 49 attending members of Codependents Anonymous (CoDA), yielded three factors: self‐sacrifice, interpersonal control, and emotional suppression. The scale and its subscales exhibited good internal consistency. Consistent with the tenets of the codependency model, higher codependency scores were significantly associated with higher levels of depression, anxiety, stress, and familial dysfunction and lower levels of narcissistic tendencies, self‐esteem, and emotional expressivity. Furthermore, the revised measure effectively discriminated members of CoDA from those in the general population.     

Verbal interference suppresses exact numerical representation

Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Pirahã (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks, they are able to perform one-to-one matching tasks but make errors in more difficult tasks. Their pattern of errors suggests that they are using analog magnitude estimation, an evolutionarily- and developmentally-conserved mechanism for estimating quantities. Here we show that English-speaking participants rely on the same mechanisms when verbal number representations are unavailable due to verbal interference. Followup experiments demonstrate that the effects of verbal interference are primarily manifest during encoding of quantity information, and—using a new procedure for matching difficulty of interference tasks for individual participants—that the effects are restricted to verbal interference. These results are consistent with the hypothesis that number words are used online to encode, store, and manipulate numerical information. This linguistic strategy complements, rather than altering or replacing, non-verbal representations.     

A generalized least squares regression approach for computing effect sizes in single-case research: application examples

A new method for deriving effect sizes from single-case designs is proposed. The strategy is applicable to small-sample time-series data with autoregressive errors. The method uses Generalized Least Squares (GLS) to model the autocorrelation of the data and estimate regression parameters to produce an effect size that represents the magnitude of treatment effect from baseline to treatment phases in standard deviation units. In this paper, the method is applied to two published examples using common single case designs (i.e., withdrawal and multiple-baseline). The results from these studies are described, and the method is compared to ten desirable criteria for single-case effect sizes. Based on the results of this application, we conclude with observations about the use of GLS as a support to visual analysis, provide recommendations for future research, and describe implications for practice.