Predicting Actual Social Skill Expression from Personality and Skill Self-Concepts

Social skills are of key importance in everyday and work life. However, the way in which they are typically assessed via self-report questionnaires has one potential downside; self-reports assess individuals’ global self-concepts, which do not necessarily reflect individuals’ actual social behaviors. In this research, we aimed to investigate how self-concepts assessed via questionnaires relate to skill expression assessed via behavioral observations after short interpersonal simulations. For this, we used an alternative behavior-based skill assessment approach designed to capture expressions of predefined social skills. Self- and observer ratings were collected to assess three different social skills: agency (i.e., getting ahead in social situations), communion (i.e., getting along in social situations), and interpersonal resilience (i.e., staying calm in social situations). We explored how these skills were related to self-concepts by differentiating between a classic personality measure (i.e., Big Five Inventory 2; BFI-2) and a novel skill questionnaire (i.e., Behavioral, Emotional, and Social Skills Inventory; BESSI). The results (N = 137) showed that both personality and skill self-concepts predicted self-rated skill expression, with the BESSI showing incremental validity. For both personality and skills self-concepts, the relationships with observer-rated skill expression were significant for agency but not for communion or interpersonal resilience. We discuss these results and highlight the theoretical and practical importance of differentiating between skill self-concepts and actual skill expression.

Measuring Distinct Social Skills via Multiple Speed Assessments

Abstract. Social skills (e.g., persuading others, showing compassion, staying calm) are of key importance in work and education settings. Accordingly, the goal of many selection processes is to identify candidates who excel in desired skills. For this, high-fidelity simulations such as assessment centers (ACs) are regarded as ideal procedures because they can be used to evoke, observe, and evaluate candidates’ actual behavior. However, research has repeatedly shown that observed performance differences in ACs are not sufficiently driven by the specific skill dimensions that are defined for assessment. Building on multiple speed assessments and incorporating insights from behavioral personality science, we offer an alternative approach for the reliable and valid assessment of distinct social skills. We hereby (a) selected skills on the basis of a bottom-up analysis of observable and distinguishable interpersonal behaviors and (b) specifically designed exercises around these skills (i.e., one skill per exercise, multiple exercises per skill). Here, we present the initial results of this newly developed procedure across three samples in a high-stakes selection context ( N = 589). Generalizability theory analyses showed that a substantial amount of variance in assessor ratings could be attributed to the selected skills. This underlines the importance of more behaviorally focused selection procedures.

The Impact of Item Parceling Ratios and Strategies on the Internal Structure of Assessment Center Ratings

Abstract. The aim of the present study was to investigate whether using item parcels instead of single indicators would increase support for the factorial validity of assessment center (AC) ratings in factor analytic applications. Factor analytic analyses of AC ratings are often plagued by poor model fit as well as admissibility and termination problems. In the present study, three purposive item parceling strategies, in conjunction with three parceling approaches (specifying different ratios of indicators to dimensions), were investigated in relation to five confirmatory factor analysis specifications of AC ratings across two AC samples (Sample 1: N = 244; Sample 2: N = 320). The findings were equivocal across the two samples. Nonetheless, a three-parcel approach using a factorial allocation strategy performed better that a one-parcel approach (akin to the postexercise dimension rating).