Self-compassion,social rank,and psychological distress in athletes of varying competitive levels

BackgroundSelf-Compassion may be seen as a concept contrary to the aims of athletes engaged in competitive sport. This could be accentuated at more elite levels, where athletes may view concepts like self-criticism and self-judgement as more important for improvement.ObjectivesThe current study aimed to better understand how athletes of different competitive levels (from social to international) relate to concepts of self-compassion. Further, we aimed to explore how factors relating to social rank and self-compassion contribute to psychological distress.DesignCross-sectional online survey.MethodAn online survey was distributed, including the following validated questionnaires: Depression Anxiety and Stress Scales, the Self-Compassion Scale, Fears of Compassion Scales, Social Comparison Scale, Forms of Self-Criticising/Attacking & Self-Reassuring Scale, and the Striving to Avoid Inferiority Scale.ResultsTwo hundred and fifty-three participants responded to the survey, including 115 recreational and 79 competitive athletes. There were no differences between groups on any measure of compassion or social rank. In a multiple linear regression model, lower self-compassion, higher fears of compassion (for self), and higher feelings of inadequacy predicted more pronounced psychological distress in athletes.ConclusionsContrary to expectation, the results suggest that even highly elite athletes may be open to using self-compassion. Given that reduced self-compassion and sense of social rank contributed to psychological distress in athletes, the results suggest that compassion-based approaches to treating psychological distress in this population may be valid.     

A joint modeling framework of responses and response times to assess learning outcomes

Abstract

A general modeling framework of response accuracy and response times is proposed to track skill acquisition and provide additional diagnostic information on the change of latent speed in a learning environment. This framework consists of two types of models: a dynamic response model that captures the response accuracy and the change of discrete latent attribute profile upon factors such as practice, intervention effects, and other latent and observable covariates, and a dynamic response time model that describes the change of the continuous response latency due to change of latent attribute profile. These two types of models are connected through a parameter, describing the change rate of the latent speed through the learning process, and a covariate defined as a function of the latent attribute profile. A Bayesian estimation procedure is developed to calibrate the model parameters and measure the latent variables. The estimation algorithm is evaluated through several simulation studies under various conditions. The proposed models are applied to a real data set collected through a spatial rotation diagnostic assessment paired with learning tools.     

The reverse hierarchy theory of visual perceptual learning

Perceptual learning can be defined as practice-induced improvement in the ability to perform specific perceptual tasks. We previously proposed the Reverse Hierarchy Theory as a unifying concept that links behavioral findings of visual learning with physiological and anatomical data. Essentially, it asserts that learning is a top-down guided process, which begins at high-level areas of the visual system, and when these do not suffice, progresses backwards to the input levels, which have a better signal-to-noise ratio. This simple concept has proved powerful in explaining a broad range of findings, including seemingly contradicting data. We now extend this concept to describe the dynamics of skill acquisition and interpret recent behavioral and electrophysiological findings.     

Anxiety responses in a sample of South African Indians

As much cross-cultural anxiety work has focused on ensuring only the semantic equivalence of questionnaires in different languages, this study examines the response characteristics of South African Indians to an anxiety instrument tentatively constructed for this population. Results show that the scale has a fairly high degree of internal consistency, and that certain items were regularly reported to be frequently experienced. Factor analysis of the 26 items reveals a cognitive distress factor, and a possible distinction within the physiological/physical dimension between somatic distress and elevated activity.     

Observing responses and discrimination learning

An operant response in the pigeon, whose performance results in exposure to the discriminative stimuli, is described and suggested as an experimental analogue for “observing.” Such an operant response is then used to explore the relationship between observing responses and discrimination learning in a variety of discrimination situations, of progressively increasing complexity. In general, the results support the contention that the development and maintainence of observing responses is closely related to the degree of differential behaviour manifested toward the discriminative stimuli. Certain modifications are suggested in the theoretical formulation underlying the concept of “observing responses.”     

The effects of age,rank and neophobia on social learning in horses

Social learning is said to meet the demands of complex environments in which individuals compete over resources and cooperate to share resources. Horses (Equus caballus) were thought to lack social learning skills because they feed on homogenously distributed resources with few reasons for conflict. However, the horse’s social environment is complex, which raises the possibility that its capacity for social transfer of feeding behaviour has been underestimated. We conducted a social learning experiment using 30 socially kept horses of different ages. Five horses, one from each group, were chosen as demonstrators, and the remaining 25 horses were designated observers. Observers from each group were allowed to watch their group demonstrator opening a feeding apparatus. We found that young, low-ranking and more exploratory horses learned by observing older members of their own group, and the older the horse, the more slowly it appeared to learn. Social learning may be an adaptive specialisation to the social environment. Older animals may avoid the potential costs of acquiring complex and potentially disadvantageous feeding behaviours from younger group members. We argue that horses show social learning in the context of their social ecology and that research procedures must take such contexts into account. Misconceptions about the horse’s sociality may have hampered earlier studies.     

The problem of R in the Rorschach: the value of varying responses

A subject's freedom to give different numbers of responses to each inkblot has always been part of the Rorschach tradition. However, frequency of response (R) as a variable rather than a constant requires special attention when using the Rorschach psychometrically and when making clinical evaluations based in part or entirely on normative scores. In this article, I discuss the Rorschach tradition; the distinctiveness of the procedure; and the complexity of the technical, methodological, and theoretical problems. issues related to the integration of the empirical and conceptual approaches are discussed.     

Second responses in paired-associate learning

Mathematical models of memory can be evaluated using a continuous paired-associate learning paradigm in which a second response is requested immediately following an error. This procedure provides discriminability among the models on the basis of the relationship between the first- and second-response error probabilities. Theoretical predictions are derived for a variety of models, including finite-state and noncontingent operator models, formulations based on the theory of signal detectability, the multicomponent memory model of Bower (1967b), and the long- and short-term model of Atkinson and Shiffrin (1968). None of these is unequivocally acceptable, and many are decisively rejected by the data of a single-trial experiment. The most satisfactory models are the multicomponent model and the Atkinson and Shiffrin model, both of which assume a greater degree of internal structure than the rejected models. It appears that internal structure of this sort will be a necessary part of any satisfactory model of second responses.