Interpersonal perception and personality disorders: Utilization of a thin slice approach

Study 1 expands upon previous research by looking at the ability of untrained raters to detect pathological traits within a normal population of college students. In Study 1, 30-s video clips of 81 target persons were shown to 42 raters. Ratings of traits of personality disorders made by thin slice raters reliably predicted scores on the personality pathology measures obtained from the targets themselves and from close peers. Study 2 is a preliminary examination of how pathological rater traits impacts thin slice accuracy. In Study 2, peer and self-report data were examined regarding 87 thin slice raters. Raters who exhibited traits of narcissistic personality disorder were significantly less accurate in making personality predictions regarding targets. Three clusters of personality items were identified based on rater characteristics related to accuracy in predicting behavior.     

Reconsidering the Factor Structure of the Beavers Interactional Scales: Do External Ratings Mirror Self-Reports?

Factor analytic studies indicate that family relationships assessed by self-reports may be most clearly and parsimoniously differentiated along three dimensions, namely, Affective Expression, Behavioral Control, and Shared Activity. The present study explored the question of whether this were true of family ratings by outside parties. Confirmatory factor analysis was used with three data sets (n = 97, 91, and 95; N = 283) employing the Beavers Interactional Scales of family functioning. Multicollinearity of the observed variables was a pervasive problem. When the redundancy of the observed variables was pared down so that there were two observed variables for each latent factor, these three factors in oblique relationship provided a good fit to the observed data.     

Abstract Conceptual Feature Ratings Predict Gaze Within Written Word Arrays: Evidence From a Visual Wor(l)d Paradigm

The Abstract Conceptual Feature (ACF) framework predicts that word meaning is represented within a high‐dimensional semantic space bounded by weighted contributions of perceptual, affective, and encyclopedic information. The ACF, like latent semantic analysis, is amenable to distance metrics between any two words. We applied predictions of the ACF framework to abstract words using eyetracking via an adaptation of the classical “visual word paradigm” (VWP). Healthy adults (n = 20) selected the lexical item most related to a probe word in a 4‐item written word array comprising the target and three distractors. The relation between the probe and each of the four words was determined using the semantic distance metrics derived from ACF ratings. Eye movement data indicated that the word that was most semantically related to the probe received more and longer fixations relative to distractors. Importantly, in sets where participants did not provide an overt behavioral response, the fixation rates were nonetheless significantly higher for targets than distractors, closely resembling trials where an expected response was given. Furthermore, ACF ratings which are based on individual words predicted eye fixation metrics of probe‐target similarity at least as well as latent semantic analysis ratings which are based on word co‐occurrence. The results provide further validation of Euclidean distance metrics derived from ACF ratings as a measure of one facet of the semantic relatedness of abstract words and suggest that they represent a reasonable approximation of the organization of abstract conceptual space. The data are also compatible with the broad notion that multiple sources of information (not restricted to sensorimotor and emotion information) shape the organization of abstract concepts. While the adapted “VWP” is potentially a more metacognitive task than the classical visual world paradigm, we argue that it offers potential utility for studying abstract word comprehension.     

Weight-related words associated with figure silhouettes

Antifat attitudes and obesity bias are prevalent in Western society; however, little is known about the social meanings and connotations of weight-related words such as fat, overweight, and obese (e.g., Robison & Erdman, 1998). The purpose of this study was to explore college students' perceptions of weight-related terminology. Participants (n=131) completed a modified figure rating scale in which they identified male and female figure silhouettes most associated with a variety of weight-related words and personal characteristics. Additionally, participants completed a word association task and provided definitions of five weight terms. Results indicated that participants grouped weight terms into two groupings (i.e., "slender" and "heavy" weight terms) both in the figure rating task and in the word association and definition tasks. Both male and female participants selected smaller female figure silhouettes for the weight terms overweight, large, fat, and normal weight than for the male figure silhouettes. Moreover, associations between weight-related words and personal characteristics, including normal weight -physically fit and overweight -lazy, were found. The results suggest that weight-related words carry with them social meanings and values that reflect an "ideology of blame."     

The observer perspective: effects on social anxiety and performance

The cognitive model of social phobia by Clark and Wells (Social phobia : Diagnosis, Assessment and treatment (1995)) proposes that individuals with social phobia generate a negative impression of how they appear to others, constructed from their own thoughts, feelings and internal sensations. This impression can occur in the form of a visual image from an external, or "observer", perspective. Although social phobics use this perspective more than controls, the impact of the observer perspective has not been tested experimentally. This study investigated the effects of taking the observer perspective on thinking, anxiety, behaviour and social performance in high and low socially anxious participants. Forty-four participants (N=22 in each group) gave two speeches, one in the observer and one in the field perspective. Use of the observer perspective produced more frequent negative thoughts, more safety behaviours, and worse self-evaluation of performance in both groups. There were also clear trends demonstrating increases in anxiety and in thought belief ratings in the observer perspective compared to the field perspective. Results are consistent with the Clark and Wells model of social phobia. This study also suggests that in low socially anxious individuals, the observer perspective may contain positive information.     

Measurement Equivalence and Multisource Ratings for Non-managerial Positions: Recommendations for Research and Practice

ABSTRACT: The present investigation applies a comprehensive sequence of confirmatory factor analysis tests (Vandenberg and Lance, Organisational Research Methods, 3, 4–69, 2000) to the examination of the measurement equivalence of self, peer, and supervisor ratings of non-managerial targets across several performance dimensions. Results indicate a high degree of measurement equivalence across rater sources and performance dimensions. The paper illustrates how this procedure can identify very specific areas of non-equivalence and how the complexity of a multisource feedback system may be represented using such procedures. Implications of these results and recommendations for both research and practice are offered.     

Managerial Experience and the Measurement Equivalence of Performance Ratings

ABSTRACT: Establishing the measurement equivalence of instruments is a prerequisite to making meaningful comparisons between individuals or within individuals over time. Whereas previous research has investigated the effects of rater characteristics on the measurement equivalence of performance ratings, the current study investigated a ratee characteristic—ratee job experience. Using confirmatory factor analysis and item response theory methods with replication, the measurement equivalence of supervisor ratings of 7,200 managers with differing levels of managerial experience was assessed. Overall, results indicated a high degree of measurement equivalence suggesting that meaningful comparison may be made across ratees with different levels of job experience.     

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.