A structural model for postpartum responses to the somatic and cognitive items on the Beck Depression Inventory

A distinction can be drawn between those items on the Beck Depression Inventory (BDI) that reflect mainly cognitive and emotional symptoms and those that reflect somatic symptoms. Responses to the BDI were obtained from women at 3, 6, 9, and 24 weeks postpartum. The covariances of cognitive and somatic symptom scores across the four time points were closely fit by a structural equations model referred to as the simplex. The modeling indicates that earlier cognitive scores directly predict later somatic scores but that early somatic scores do not directly predict later cognitive scores. Other data confirm the results.Much of this research was supported while the first author was an NIMH Fellow at the University of Iowa (MH15168).     

Superimposition of response-independent reinforcement

Studies that have superimposed response-independent reinforcement (or reinforcers scheduled by contingencies placed on the absence of responding) upon conventional response-dependent schedules are reviewed. In general, providing alternative sources of reinforcement reduced response rates below the levels observed when alternative reinforcement was absent. However, response-rate elevation was sometimes found, particularly when rates of superimposed response-independent reinforcement were low. Superimposition of schedules providing reinforcers contingent on the absence of responding usually produced more severe response-rate decrements than superimposition of response-independent reinforcement. A variant of Herrnstein's equation, which assumes that some of the alternative reinforcers function as if they were delivered by baseline response-dependent source of reinforcement, is in qualitative agreement with the overall body of results obtained, and can predict both increases and decreases in response rate as resulting from superimposed reinforcers.     

Experimental analysis of individual differences and personality

In psychological studies individual differences that result in variability in data and thus mask the effects under investigation have been reduced or eliminated in two ways: (1) through the use of large numbers of subjects and statistical manipulations, or (2) through extensive and controlled studies of individual subjects. The latter, behavior-analytic, method is scientifically better because it permits identification of the variables that result in individual differences. This paper advocates the direct study of individual differences and personality rather than indirect study through experimental control procedures. Some data are presented showing that individual differences in response patterns have orderly characteristics. Extension of the experimental analysis of behavior to the study of individual differences and personality is likely to be important both scientifically and for the future growth of behavior analysis.     

Personality and the Policy Positions of Politicians

Politicians’ support of or opposition to concrete policies is uniquely consequential for policymaking, public opinion, and a host of other societal outcomes. Explaining their policy positions is therefore a major research agenda in political science. Here, we evaluate the role of politicians’ personality traits, measured with the Big Five typology, in shaping how liberal or conservative their economic and social policy positions are. While existing research establishes this link among nonelites, it is far from obvious that the same holds for politicians, who have systematically different personality profiles, and whose positions are constrained by party lines. Using an in-person study of 893 legislators in five countries who completed personality questionnaires and provided detailed issue positions, we find that Openness to Experience is strongly and positively predictive of politicians’ liberal positions on both economic and social policies, but a null relationship for Conscientiousness. We also find that Extraversion predicts more conservative economic (but not social) policy positions. We discuss implications for the role of elites’ individual characteristics in policymaking.     

Intentional response distortion during the COVID-19 pandemic

COVID-19 has abruptly and unexpectedly transformed nearly every aspect of work, including but not limited to increased unemployment rates and uncertainty regarding future job prospects. Response distortion has always been a concern given that many organizations rely on information that is self-reported by applicants regarding their potential employability (e.g., responses to self-reported personality instruments, resumes, interview responses). Drawing from the Valence-Instrumentality-Expectancy (VIE) theory of motivation, we propose that the uncertainty surrounding jobs may lead to amplified distorted responses on these measures in areas where COVID-19 was most salient. In a sample of 213 working adults [~50% female, age M = 38.48], the present study shows that increases in response distortion on a measure of conscientiousness were more pronounced as a function of (a) local COVID positivity rates and (b) job type, such that frontline workers distorted their responses the most. Findings are discussed in the context of VIE theory, personality measurement, and challenges with maintaining effective selection procedures.     

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.     

Are curmudgeon personality scales resistant to response distortion?

Curmudgeon personality, which is assessed by having participants evaluate a heterogeneous set of attitude objects, provides an applied value beyond that of more established personality traits. Recent research, for instance, suggests that curmudgeon personality is distinct from the Five Factor Model personality traits and that it predicts unique variance in important criteria, such as job attitudes and well-being. In the current paper we contribute to this literature by testing an explanation of how curmudgeon personality is distinct from other traits—their potential resistance to response distortion. We estimated response distortion for scales of curmudgeon personality and FFM traits across two quasi-experimental studies. As expected, the score shifts between nonapplicant and applicant conditions were smaller for scales of curmudgeon personality compared to scales of emotional stability and conscientiousness. We argue that curmudgeon personality scales may be more resistant to response distortion than are measures of other traits because curmudgeon personality items are semi-implicit and lack an obvious desirable response. The resistance to response distortion should serve as a call to future researchers to test the criterion validity of curmudgeon personality in regard to performance criteria.     

Understanding dark side personality at work: Distinguishing and reviewing nonlinear,interactive, differential,and reciprocal effects

The topic of dark side personality at work has received considerable research attention over the past decade, and both qualitative and quantitative reviews of this field have already been published. To show the relevance of dark personality in the work context, existing reviews have typically focused on systematically discussing the different criteria that have been linked to dark traits (e.g., job performance, work attitudes, leadership emergence, etc.). In contrast, and complementing this earlier work, the current review paper summarizes the available literature on this topic by structuring it in terms of the nature of the relationships studied rather than in terms of the types of outcome variables. Doing so, the focus shifts from “What are the outcomes of dark traits?” to “How are dark traits related to work outcomes?” Scrutinizing the nature of these relationships, we specifically focus on four types of effects (i.e., nonlinear, interactive, differential, and reciprocal) that highlight the complexity of how dark side traits operate in the work context. Structured this way, this review first provides a conceptual underpinning of each of these complex effects, followed by a summary of the empirical literature published over the past 10 years. To conclude, we present an integration of this field, provide suggestions for future research, and highlight concrete assessment challenges.     

Context-dependent shifts in self-regulatory personality processes during COVID-19: Changes in control predict dynamic shifts in goal reengagement capacity

The ability to reengage with new attainable goals after major setbacks is a core self-regulatory trait linked to health and well-being. Yet little is known about the extent to which such goal reengagement capacities may shift over time in response to changing contextual circumstances. Using a nationally-representative sample of U.S. adults aged 18–80 (n = 293), the present 1-year study examined whether changes in opportunity to influence life circumstances (perceived control) were coupled with dynamic shifts in goal reengagement capacity for individuals who differed in their levels of control at pandemic onset. Results from multilevel models showed that within-person increases in perceived control during the pandemic predicted corresponding within-person increases in goal reengagement capacity. Moderation models showed that the positive within-person association between perceived control and goal reengagement was pronounced for individuals with lower levels of control at pandemic onset who may be particularly sensitive to periods of opportunity to pursue new attainable goals. Findings inform theories of personality and self-regulation in pointing to contextual circumstances under which goal reengagement capacity exhibits dynamic shifts in populations who differ in their perceived opportunities for control.