Executive control of thought and action

In addition to processing information about stimuli in the environment, the cognitive system performs executive functions to control and coordinate the processes that deal with environmental stimuli. Several executive functions may be distinguished: (1) Making choices about alternative strategies for processing environmental stimuli; (2) constructing or instantiating a version of the chosen strategy to enable performance on the task; (3) controlling and coordinating execution of the strategy during real-time performance on the task; and (4) disabling or disengaging the strategy in response to changes in goals or changes in the task environment that make the current strategy inappropriate. This paper presents a selective review of research addressing each of these executive functions, focusing on the time and resources used to accomplish each one.     

Testing the validity of conflict drift-diffusion models for use in estimating cognitive processes: A parameter-recovery study

Researchers and clinicians are interested in estimating individual differences in the ability to process conflicting information. Conflict processing is typically assessed by comparing behavioral measures like RTs or error rates from conflict tasks. However, these measures are hard to interpret because they can be influenced by additional processes like response caution or bias. This limitation can be circumvented by employing cognitive models to decompose behavioral data into components of underlying decision processes, providing better specificity for investigating individual differences. A new class of drift-diffusion models has been developed for conflict tasks, presenting a potential tool to improve analysis of individual differences in conflict processing. However, measures from these models have not been validated for use in experiments with limited data collection. The present study assessed the validity of these models with a parameter-recovery study to determine whether and under what circumstances the models provide valid measures of cognitive processing. Three models were tested: the dual-stage two-phase model (Hübner, Steinhauser, & Lehle, Psychological Review, 117(3), 759–784, 2010), the shrinking spotlight model (White, Ratcliff, & Starns, Cognitive Psychology, 63(4), 210–238, 2011), and the diffusion model for conflict tasks (Ulrich, Schröter, Leuthold, & Birngruber, Cogntive Psychology, 78, 148–174, 2015). The validity of the model parameters was assessed using different methods of fitting the data and different numbers of trials. The results show that each model has limitations in recovering valid parameters, but they can be mitigated by adding constraints to the model. Practical recommendations are provided for when and how each model can be used to analyze data and provide measures of processing in conflict tasks.     

The relationship between gender,perceived career barriers,and occupational aspirations

The relationships between college student gender, perceived career barriers, and occupational aspirations were examined. Participants were 314 students located in the southeastern United States. Overall, college women reported higher levels of occupational aspirations than college men. While occupational aspirations were not correlated with perceived career barriers for women or men, women reported anticipating more barriers to their career advancement than their male peers. Perceived career barriers and the interaction between gender and perceived career barriers predicted occupational aspirations after controlling for gender, socioeconomic status, ethnicity, and year in school. The relationship between occupational aspirations and the interaction between gender and perceived career barriers in college‐age adults enhances our understanding of occupational aspirations.     

Informant reports add incrementally to the understanding of the perfectionism–depression connection: Evidence from a prospective longitudinal study

Perfectionism is a putative risk factor for depressive symptoms. However, most research in this area uses cross-sectional designs (which fail to address temporal precedence) and mono-source designs (which are influenced by various biases). The present study overcomes these limitations by using a novel design involving both self- and informant reports of self-critical perfectionism (i.e., negative reactions to perceived failures, concern over others’ criticism and expectations, doubts about performance abilities, and intense self-rebuke). It was hypothesized that self- and informant reports of self-critical perfectionism would correlate moderately and that self- and informant reports of self-critical perfectionism would predict increases in depressive symptoms over time. A sample of 155 target participants and 588 informants was recruited and studied using a prospective longitudinal design. All study hypotheses were supported, including evidence that self- and informant reports of self-critical perfectionism each add incrementally to the understanding of the self-critical perfectionism–depressive symptoms connection. Informant reports may provide a more complete picture of the self-critical perfectionist and her or his vulnerability to depressive symptoms.     

Balancing cognitive demands: control adjustments in the stop-signal paradigm

Cognitive control enables flexible interaction with a dynamic environment. In 2 experiments, the authors investigated control adjustments in the stop-signal paradigm, a procedure that requires balancing speed (going) and caution (stopping) in a dual-task environment. Focusing on the slowing of go reaction times after stop signals, the authors tested 5 competing hypotheses for post-stop-signal adjustments: goal priority, error detection, conflict monitoring, surprise, and memory. Reaction times increased after both successful and failed inhibition, consistent with the goal priority hypothesis and inconsistent with the error detection and conflict hypotheses. Post-stop-signal slowing was greater if the go task stimulus repeated on consecutive trials, suggesting a contribution of memory. We also found evidence for slowing based on more than the immediately preceding stop signal. Post-stop-signal slowing was greater when stop signals occurred more frequently (Experiment 1), inconsistent with the surprise hypothesis, and when inhibition failed more frequently (Experiment 2). This suggests that more global manipulations encompassing many trials affect post-stop-signal adjustments.     

Nonindependent and nonstationary response times in stopping and stepping saccade tasks

Saccade stop signal and target step tasks are used to investigate the mechanisms of cognitive control. Performance of these tasks can be explained as the outcome of a race between stochastic go and stop processes. The race model analyses assume that response times (RTs) measured throughout an experimental session are independent samples from stationary stochastic processes. This article demonstrates that RTs are neither independent nor stationary for humans and monkeys performing saccade stopping and target-step tasks. We investigate the consequences that this has on analyses of these data. Nonindependent and nonstationary RTs artificially flatten inhibition functions and account for some of the systematic differences in RTs following different types of trials. However, nonindependent and nonstationary RTs do not bias the estimation of the stop signal RT. These results demonstrate the robustness of the race model to some aspects of nonindependence and nonstationarity and point to useful extensions of the model.     

Personality disorder and violence: making the link through risk formulation

The extant research demonstrates that the combination of personality disorder and violence implies severe dysfunction, poor responsivity to treatment, more serious and persistent violence, and higher recidivism rates. Thus, it comes as no surprise that personality disorder is included in many of the available guidelines for assessing and managing violence. Unsurprisingly, the combination of personality pathology and violence frequently presents the greatest challenge to services, even those in whom violence risk assessment and management practice is established and routine. Conceptual and methodological limitations pervade the literature and a full explanation of the nature of the association between personality pathology and violence is still awaited. Furthermore, current approaches to risk assessment fail to provide a systematic framework for assessors to use to make sense of the heterogeneous presentations typically found in individuals with personality disorder and violence. In this paper, formulation is proposed as the critical process linking risk assessment and risk management. It is argued that assessors must move beyond a simple listing of risk factors and should instead produce detailed, comprehensive, individualized explanations of risk potential and risk management needs. Personality disorder is used in this paper to illustrate the important contribution of formulation to the risk assessment process, and in doing so, the link between personality pathology and violence is explored.