A Motivational Model of Authoritarianism: Integrating Personal and Situational Determinants

We describe and test a collective security model of authoritarianism. This model sees Right Wing Authoritarianism (RWA) as directly caused by collective security motivation (CSM), which is in turn influenced jointly by personality (with its effects mediated through group identification and dangerous world beliefs) and social threat (with its effects mediated through dangerous world beliefs). Two studies tested this model using student samples—one was correlational ( N =  218), while the other included an experimental manipulation of threat using future scenarios ( N =  136). Structural equation analyses partially supported the model suggesting that CSM fully mediated the effects of threat and group identification on RWA, but only partially mediated the effect of personality, which also had important direct effects.     

Insular activity during passive viewing of aversive stimuli reflects individual differences in state negative affect

People differ with regard to how they perceive, experience, and express negative affect. While trait negative affect reflects a stable, sustained personality trait, state negative affect represents a stimulus limited and temporally acute emotion. So far, little is known about the neural systems mediating the relationship between negative affect and acute emotion processing. To address this issue we investigated in a healthy female sample how individual differences in state negative affect are reflected in changes in blood oxygen level-dependent responses during passive viewing of emotional stimuli. To assess autonomic arousal we simultaneously recorded changes in skin conductance level. At the psychophysiological level we found increased skin conductance level in response to aversive relative to neutral pictures. However, there was no association of state negative affect with skin conductance level. At the neural level we found that high state negative affect was associated with increased left insular activity during passive viewing of aversive stimuli. The insula has been implicated in interoceptive processes and in the integration of sensory, visceral, and affective information thus contributing to subjective emotional experience. Greater recruitment of the insula in response to aversive relative to neutral stimuli in subjects with high state negative affect may represent increased processing of salient aversive stimuli.     

Hurt feelings and four letter words: Swearing alleviates the pain of social distress

Methods for alleviating physical pain are increasingly found to attenuate social pain. Recent evidence suggests that swearing may attenuate sensitivity to physical pain. This study examined whether swearing similarly attenuates two consequences of social distress: social pain and exclusion‐induced hyperalgesia. Sixty‐two people wrote about an autobiographical experience of exclusion or inclusion. Then they repeated a swear or neutral word for 2 minutes followed by measures of social and physical pain. Excluded non‐swearers reported feeling more social pain and greater sensitivity to physical pain compared with included non‐swearers. Excluded swearers reported less social pain than excluded non‐swearers and no heightened sensitivity to physical pain. The findings suggest that social and physical pain are functionally similar and that swearing attenuates social pain.     

SSL: a theory of how people learn to select strategies

The assumption that people possess a repertoire of strategies to solve the inference problems they face has been raised repeatedly. However, a computational model specifying how people select strategies from their repertoire is still lacking. The proposed strategy selection learning (SSL) theory predicts a strategy selection process on the basis of reinforcement learning. The theory assumes that individuals develop subjective expectations for the strategies they have and select strategies proportional to their expectations, which are then updated on the basis of subsequent experience. The learning assumption was supported in 4 experimental studies. Participants substantially improved their inferences through feedback. In all 4 studies, the best-performing strategy from the participants' repertoires most accurately predicted the inferences after sufficient learning opportunities. When testing SSL against 3 models representing extensions of SSL and against an exemplar model assuming a memory-based inference process, the authors found that SSL predicted the inferences most accurately.     

The Machines Take Over: A Comparison of Various Supervised Learning Approaches for Automated Scoring of Divergent Thinking Tasks

Traditionally, researchers employ human raters for scoring responses to creative thinking tasks. Apart from the associated costs this approach entails two potential risks. First, human raters can be subjective in their scoring behavior (inter-rater-variance). Second, individual raters are prone to inconsistent scoring patterns (intra-rater-variance). In light of these issues, we present an approach for automated scoring of Divergent Thinking (DT) Tasks. We implemented a pipeline aiming to generate accurate rating predictions for DT responses using text mining and machine learning methods. Based on two existing data sets from two different laboratories, we constructed several prediction models incorporating features representing meta information of the response or features engineered from the response’s word embeddings that were obtained using pre-trained GloVe and Word2Vec word vector spaces. Out of these features, word embeddings and features derived from them proved to be particularly effective. Overall, longer responses tended to achieve higher ratings as well as responses that were semantically distant from the stimulus object. In our comparison of three state-of-the-art machine learning algorithms, Random Forest and XGBoost tended to slightly outperform the Support Vector Regression.     

Elucidating the Functional Relationship Between Working Memory Capacity and Psychometric Intelligence: A Fixed-Links Modeling Approach for Experimental Repeated-Measures Designs

Numerous studies reported a strong link between working memory capacity (WMC) and fluid intelligence (Gf), although views differ in respect to how close these two constructs are related to each other. In the present study, we used a WMC task with five levels of task demands to assess the relationship between WMC and Gf by means of a new methodological approach referred to as fixed-links modeling. Fixed-links models belong to the family of confirmatory factor analysis (CFA) and are of particular interest for experimental, repeated-measures designs. With this technique, processes systematically varying across task conditions can be disentangled from processes unaffected by the experimental manipulation. Proceeding from the assumption that experimental manipulation in a WMC task leads to increasing demands on WMC, the processes systematically varying across task conditions can be assumed to be WMC-specific. Processes not varying across task conditions, on the other hand, are probably independent of WMC. Fixed-links models allow for representing these two kinds of processes by two independent latent variables. In contrast to traditional CFA where a common latent variable is derived from the different task conditions, fixed-links models facilitate a more precise or purified representation of the WMC-related processes of interest. By using fixed-links modeling to analyze data of 200 participants, we identified a non-experimental latent variable, representing processes that remained constant irrespective of the WMC task conditions, and an experimental latent variable which reflected processes that varied as a function of experimental manipulation. This latter variable represents the increasing demands on WMC and, hence, was considered a purified measure of WMC controlled for the constant processes. Fixed-links modeling showed that both the purified measure of WMC (β = .48) as well as the constant processes involved in the task (β = .45) were related to Gf. Taken together, these two latent variables explained the same portion of variance of Gf as a single latent variable obtained by traditional CFA (β = .65) indicating that traditional CFA causes an overestimation of the effective relationship between WMC and Gf. Thus, fixed-links modeling provides a feasible method for a more valid investigation of the functional relationship between specific constructs.     

Parents’ influence on the development of their children’s ethnic intergroup attitudes: a longitudinal analysis from middle childhood to early adolescence

This study investigated to what extent parents’ intergroup attitudes influence the development of their children’s ethnic intergroup attitudes (i.e., ingroup bias), and which socialization factors moderate this influence. We report on a four-year longitudinal study of 213 children (M_age = 7.94) and their parents conducted in Eastern Germany. Findings showed significant interindividual differences in children’s developmental trajectories, which could, in part, be explained by child gender, socio-economic status and parental attitudes. The influence of parents’ intergroup attitudes was moderated by parenting style and parental similarity in attitudes both of which, our findings suggest, can make the transmission of parental attitudes more likely.     

Semantic effects on sensory-motor modality switching

Language processing always involves a combination of sensory (auditory or visual) and motor modalities (vocal or manual). In line with embodied cognition theories, we additionally assume a semantically implied modality (SIM) due to modality references of the underlying concept. Understanding ear-related words (e.g. “noise”), for example, should activate the auditory SIM. In the present study, we investigated the influence of the SIM on sensory-motor modality switching (e.g. switching between the auditory-vocal and visual-manual combination). During modality switching, participants categorised words with regard to their SIM (e.g. ear- versus eye-related words). Overall performance was improved and switch costs were reduced whenever there was concordance between SIMs and sensory-motor modalities (e.g. an auditory presentation of ear-related words). Thus, the present study provides first evidence for semantic effects during sensory-motor modality switching in terms of facilitation effects whenever the SIM was in concordance with sensory-motor modalities.     

A review of ideomotor approaches to perception,cognition, action,and language: advancing a cultural recycling hypothesis

The term “cultural recycling” derives from the neuronal recycling hypothesis, which suggests that representations of cultural inventions like written words, Arabic numbers, or tools can occupy brain areas dedicated to other functions. In the present selective review article, we propose a recycling hypothesis for the ideomotor mechanism. The ideomotor approach assumes that motor actions are controlled by the anticipation of the expected perceptual consequences that they aim to generate in the environment. Arguably, such action–perception mechanisms contribute to motor behaviour for human and non-human animals since millions of years. However, recent empirical studies suggest that the ideomotor mechanism can also contribute to word processing, number representation, and arithmetic. For instance, it has been shown that the anticipatory simulation of abstract semantics, like the numerical quantitative value of three items can prime processing of the associated Arabic number “3”. Arabic numbers, words, or tools represent cultural inventions, so that, from a theoretical perspective, we suggest an ideomotor recycling hypothesis for the interaction with such artefacts. In this view, the ideomotor mechanism spreads its influence to other functions beyond motor control, and is recycled to flexibly adapt different human behaviours towards dealing with more abstract concepts.