The distressed (Type D) and Five-Factor Models of personality in young,healthy adults and their association with emotional inhibition and distress

The distressed (Type D) personality (the combination of negative affectivity and social inhibition traits) has been associated with adverse health outcomes. This study investigated the validity of the Type D construct against the Five-Factor Model (FFM) of personality, and its association with emotional control and distress. In total 498 university students (mean age 28.9 ± 8.4 years) completed the Type D scale (DS14), and measurements for the FFM of personality, emotional control, anxiety, depression and stress. The construct validity of the Icelandic DS14 was confirmed. The Type D components negative affectivity and social inhibition were strongly associated with neuroticism and extraversion of the FFM (r = 0.82 and r = −0.67, respectively). Negative affectivity also correlated with rehearsal/rumination (r = 0.58) and social inhibition with emotional inhibition (r = 0.54), indicative of emotional control. Type D personality (40% of sample) was associated with higher levels of anxiety, depression and stress. The Type D personality components were associated with the FFM of personality, emotional control and emotional distress. Importantly, social and emotional inhibition were closely related, providing novel information about the presence of emotional inhibition within the social inhibition trait.     

On Impediments to the Process of Individuation

A clinical case is presented at length with a view to understanding how the healthy fear of incest, which favours the process of individuation, may come into conflict with the fear of leaving childhood and becoming adult. Among the consequences of this conflict is a sort of paralysis or impediment to living which may be converted into hate. The inquiry mainly regards anxiety, fear, hate and aggression as factors which conspire in holding an individual back from his path in life. The affects are taken into consideration in accordance with Fromm's theory of aggression and his ''syndrome of decay'' diagnostic scheme, which results from the confluence and interaction of incestuous symbiosis, narcissism and destructiveness. Emphasis is placed on mechanisms of repression and splitting of hate not employed in aggression. Repressed and split hate may sustain para-hallucinatory symptoms and produce terror. This view offers an explanation of the perturbing symptomatology that afflicted the patient presented here and also shows the power of hate as a bond, as concomitant cause of the mother fixation and as obstacle to the process of individuation.     

A New Model for Acquiescence at the Interface of Psychometrics and Cognitive Psychology

ABSTRACT

When measuring psychological traits, one has to consider that respondents often show content-unrelated response behavior in answering questionnaires. To disentangle the target trait and two such response styles, extreme responding and midpoint responding, Böckenholt (2012a Böckenholt, U. (2012a). Modeling multiple response processes in judgment and choice. Psychological Methods, 17, 665–678. doi:10.1037/a0028111[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) developed an item response model based on a latent processing tree structure. We propose a theoretically motivated extension of this model to also measure acquiescence, the tendency to agree with both regular and reversed items. Substantively, our approach builds on multinomial processing tree (MPT) models that are used in cognitive psychology to disentangle qualitatively distinct processes. Accordingly, the new model for response styles assumes a mixture distribution of affirmative responses, which are either determined by the underlying target trait or by acquiescence. In order to estimate the model parameters, we rely on Bayesian hierarchical estimation of MPT models. In simulations, we show that the model provides unbiased estimates of response styles and the target trait, and we compare the new model and Böckenholt’s model in a recovery study. An empirical example from personality psychology is used for illustrative purposes.     

Exploring the Role of Spirituality in the Context of the Five Factor Model of Personality in a South African Sample

The study explored the relationship between the Five Factor Model of personality and spirituality by using the NEO PI-R (Costa & McCrae, 1992) and the Spiritual Transcendence Scale (STS) (Piedmont, 1999) respectively. Participants were 94 psychology undergraduate students at a large South African university (mean age = 19.1 years; SD =1.43, males =19, females=75). Data were analyzed using both correlations as well as principal components analysis with varimax rotation. Evidence from both correlations and factor analysis suggest separate domains within the FFM as well as a separate factor for spirituality. These results provide support for claims that aspects of spirituality are not accounted for by the FFM as operationalised by the NEO-PI-R and by implication the FFM may not be a complete taxonomy of personality.     

Resilience in Families Adapting to Autism Spectrum Disorder

This study explored adjustment and adaptation in families living with Autism Spectrum Disorder (ASD). Data on family resilience were collected from 19 biological mothers of children with ADS. The data were analysed qualitatively and quantitatively to yield information on factors that enable these families to bounce back from the diagnosis and accompanying challenges with regard to ADS. The findings from the qualitative analysis indicate that social support, the spousal relationship, and family time, togetherness and routines are the most important resilience-promoting factors with ASD. Family hardiness, family problem-solving communication, and family time and routines were significant resilience resources.     

Determinants of coach motivation and autonomy supportive coaching behaviours

ObjectiveThe objective of the present study is to build upon the existing literature examining the coaching context and how it relates to coaches' use of autonomy-supportive interpersonal behaviours (i.e. Stebbings, Taylor, Spray, & Ntoumanis, 2012) by identifying additional environmental factors and exploring the role of coach motivation.DesignAn academic model designed by Pelletier, Seguin-Levesque, and Legault (2002) to predict teacher motivation and autonomy-supportive styles in academic settings, was adapted to the coaching context.MethodsThe influence of pressure from above (sport administrations) and pressure from below (athlete motivation) on coach motivation and autonomy-supportive coaching behaviours was tested using structural equation modeling.ResultsResults support the fit of the model in a sport context.ConclusionsPressure from above, pressure from below, and coach motivation predict coaches’ reported use of autonomy-supportive behaviours.     

A non-linear model of dynamics: A case of panic

This is a case report of a patient with panic who is on the edge of relapse into alcoholism. It is a case of general theoretical interest, because of the separate phases of containment of his desperation, involving psychopharmacology, sociotherapy, and psychotherapy. It extends the dynamic model into non-linear dynamics, an extension that allows the patient to come to face his amazement at the sudden eruption of unconscious forces, and that allows the psychotherapist to see the therapeutic path of backing up from walking forward, unwittingly, into catastrophe.     

The multidimensionality of test anxiety: A test of different models

Abstract

Confirmatory factor analysis was employed to test the multidimensional structure of test anxiety. Starting with the traditional two-factor model, it was of interest whether additional dimensions could still be represented by a single higher-order factor of test anxiety or whether the additional dimensions represented correlates of test anxiety. The Revised Test Anxiety (RTA) scale and the German Test Anxiety Inventory (TAI-G) were combined collecting data from a binational sample of 218 American and 218 German university students. Considering the statistical and theoretical aspects of model fit, they indicated that a model consisting of three primary factors (worry, emotionality, and lack of confidence) fit the data best. While distraction and self-efficacy may be regarded as correlates of test anxiety, lack of confidence was substantiated as a component of test anxiety. Implications for the conceptualization of the content domain and hence area of test anxiety were discussed.     

Dissociation of sensory facilitation and decision bias in statistical learning

ABSTRACT

The detection of regularities in the sensory environment, known as statistical learning, is an important brain function that has been observed in many experimental contexts. In these experiments, statistical learning of patterned sensory stimulation leads to improvements in the speed and/or accuracy with which subsequent stimuli are recognized. That is, statistical learning facilitates the transformation of sensory stimuli into motor responses, but the mechanism by which this occurs is unclear. Statistical learning could improve the efficiency of sensory processing, or it could bias responses toward particular outcomes. The distinction is important, as these different hypotheses imply different functions and different neural substrates for statistical learning. Here we address this problem by studying statistical learning as a decision-making process, which allows us to leverage the extensive computational literature on this topic. Specifically we describe a method for applying the Diffusion Decision Model (DDM) to isolate different sensory and cognitive processes associated with decision-making. The results indicate that statistical learning improves performance on a visual learning task in two distinct ways: by altering the efficiency of sensory processing and by introducing biases in the decision-making process. By fitting the parameters of the DDM to data from individual subjects, we find that the prominence of these two factors differed substantially across the population, and that these differences were predictive of individual performance on the psychophysical task. Overall, these results indicate that different cognitive processes can be recruited by statistical learning, and that the DDM is a powerful framework for detecting these influences.