Predicting Supervisor and Student Competency Ratings from a Developmental Assessment Center: A Longitudinal Validation Study

The current study examined the ability of a developmental assessment center to support and predict professional competency development in a vocational education context. A longitudinal study was conducted where graduate organizational psychology students (N = 157 students and 501 placements) completed a developmental assessment center at the beginning of their degree, along with measures of Big Five personality and self-efficacy. Their performance was then assessed throughout the degree in three or four separate work placements using student and placement supervisor ratings. Both assessment center and placement ratings assessed students on seven work-relevant competencies. Competence developed linearly over placements with student-rated competency lower than supervisor-rated competency at the first placement but with these differences disappearing by the final placement. Consistent with the students undergoing a period of rapid professional development and principles of dynamic validity, the predictive validity of assessment center performance declined over time. The research also presents a rich picture of how competency ratings converge across raters and develop at different rates. The research provides novel longitudinal evidence regarding how objective competence and self-confidence are developed in a professional educational setting. It also shows how developmental assessment centers can be implemented within professional educational training to support career development.

Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants

Age and disease prevalence are the two biggest risk factors for COVID-19 symptom severity and death. We therefore hypothesized that increased biological age, beyond chronological age, may be driving disease-related trends in COVID-19 severity. Using the UK Biobank England data, we tested whether a biological age estimate (PhenoAge) measured more than a decade prior to the COVID-19 pandemic was predictive of two COVID-19 severity outcomes (inpatient test positivity and COVID-19 related mortality with inpatient test-confirmed COVID-19). Logistic regression models were used with adjustment for age at the pandemic, sex, ethnicity, baseline assessment centers, and pre-existing diseases/conditions. 613 participants tested positive at inpatient settings between March 16 and April 27, 2020, 154 of whom succumbed to COVID-19. PhenoAge was associated with increased risks of inpatient test positivity and COVID-19 related mortality (ORMortality=1.63 per 5 years, 95% CI: 1.43-1.86, p=4.7x10E-13) adjusting for demographics including age at the pandemic. Further adjustment for pre-existing disease s/conditions at baseline (OR_M=1.50, 95% CI: 1.30-1.73 per 5 years, p=3.1x10E-8) and at the early pandemic (OR_M=1.21, 95% CI: 1.04-1.40 per 5 years, p=0.011) decreased the association. PhenoAge measured in 2006-2010 was associated with COVID-19 severity outcomes more than 10 years later. These associations were partly accounted for by prevalent chronic diseases proximate to COVID-19 infection. Overall, our results suggest that aging biomarkers, like PhenoAge may capture long-term vulnerability to diseases like COVID-19, even before the accumulation of age-related comorbid conditions.

Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants

Age and disease prevalence are the two biggest risk factors for COVID-19 symptom severity and death. We therefore hypothesized that increased biological age, beyond chronological age, may be driving disease-related trends in COVID-19 severity. Using the UK Biobank England data, we tested whether a biological age estimate (PhenoAge) measured more than a decade prior to the COVID-19 pandemic was predictive of two COVID-19 severity outcomes (inpatient test positivity and COVID-19 related mortality with inpatient test-confirmed COVID-19). Logistic regression models were used with adjustment for age at the pandemic, sex, ethnicity, baseline assessment centers, and pre-existing diseases/conditions. 613 participants tested positive at inpatient settings between March 16 and April 27, 2020, 154 of whom succumbed to COVID-19. PhenoAge was associated with increased risks of inpatient test positivity and COVID-19 related mortality (ORMortality=1.63 per 5 years, 95% CI: 1.43-1.86, p=4.7x10E-13) adjusting for demographics including age at the pandemic. Further adjustment for pre-existing disease s/conditions at baseline (OR_M=1.50, 95% CI: 1.30-1.73 per 5 years, p=3.1x10E-8) and at the early pandemic (OR_M=1.21, 95% CI: 1.04-1.40 per 5 years, p=0.011) decreased the association. PhenoAge measured in 2006-2010 was associated with COVID-19 severity outcomes more than 10 years later. These associations were partly accounted for by prevalent chronic diseases proximate to COVID-19 infection. Overall, our results suggest that aging biomarkers, like PhenoAge may capture long-term vulnerability to diseases like COVID-19, even before the accumulation of age-related comorbid conditions.

Forms of ethical dilemmas in industrial-organizational psychology

Professional ethics has not been a major focus in industrial-organizational (I-O) psychology—in comparison with our study of unethical behavior in organizations. Consequently, we know very little about ethical situations actually faced by I-O psychologists. This article presents and tests a structural perspective on understanding the nature of ethical dilemmas that can facilitate such study. A taxonomy of five paradigmatic forms of ethical dilemmas is defined and placed in a theoretical context. Narrative descriptions of 292 ethical situations were obtained from a sample of 228 professional members of the Society for Industrial and Organizational Psychology (SIOP) in the United States and were used to empirically test the taxonomy. The narratives were content analyzed for form of dilemma, work domain of occurrence, relevance to human resource administration concerns, and favorability of the situation’s resolution. The work domains that were most problematic were academic research/publication activities, individual assessment/assessment centers, consulting issues regarding the client, and academic supervising/mentoring. There were no significant differences as a function of respondents’ sex, seniority, or professional membership status (member/fellow). This relatively “content free” structural aspect of ethical dilemmas enables comparisons across different domains (of professions, organizations, demographic groups, age cohorts, etc.) in which the overt idiosyncratic ethical problems experienced are not commensurable. Similarly, it can yield interpretable longitudinal comparisons despite changes in the manifestations of ethical problems encountered over time.

Measuring Distinct Social Skills via Multiple Speed Assessments

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 Fixated Threat Assessment Centers

Fixated threat assessment centers (FTACs) have been established in the United Kingdom, Australia, and New Zealand. The model was developed to assess and manage risk from isolated loners who write concerning communications or make problematic approaches to politicians or the British royal family. It has recently been expanded to encompass risks of lone actor grievance-fueled violence more broadly. The essential feature of FTACs is that they are police units jointly staffed by police officers and psychiatric staff from the health service. Given the central role that mental state and motivation play in the assessment of risk, the presence of psychiatric personnel greatly enhances the power of risk assessment and catalyzes multiagency interventions with fixated loners, a population with high psychiatric morbidity. This chapter describes the function, structure, and operating methods of FTACs. The FTACs deal with forms of psychotic pathology rarely seen in psychiatric services, but well described by 19th-century phenomenologists.

Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants

Background Age and disease prevalence are the two biggest risk factors for COVID-19 symptom severity and death. We therefore hypothesized that increased biological age, beyond chronological age, may be driving disease-related trends in COVID-19 severity. Methods Using the UK Biobank England data, we tested whether a biological age estimate (PhenoAge) measured more than a decade prior to the COVID-19 pandemic was predictive of two COVID-19 severity outcomes (inpatient test positivity and COVID-19 related mortality with inpatient test-confirmed COVID-19). Logistic regression models were used with adjustment for age at the pandemic, sex, ethnicity, baseline assessment centers, and pre-existing diseases/conditions. Results 613 participants tested positive at inpatient settings between March 16 and April 27, 2020, 154 of whom succumbed to COVID-19. PhenoAge was associated with increased risks of inpatient test positivity and COVID-19 related mortality (ORMortality=1.63 per 5 years, 95% CI: 1.43-1.86, p=4.7×10 -13) adjusting for demographics including age at the pandemic. Further adjustment for pre-existing disease s/conditions at baseline (ORM=1.50, 95% CI: 1.30-1.73 per 5 years, p=3.1×10 -8) and at the early pandemic (ORM=1.21, 95% CI: 1.04-1.40 per 5 years, p=0.011) decreased the association. Conclusions PhenoAge measured in 2006-2010 was associated with COVID-19 severity outcomes more than 10 years later. These associations were partly accounted for by prevalent chronic diseases proximate to COVID-19 infection. Overall, our results suggest that aging biomarkers, like PhenoAge may capture long-term vulnerability to diseases like COVID-19, even before the accumulation of age-related comorbid conditions.