Speed of reasoning and its relation to reasoning ability

The study investigates empirical properties of reasoning speed which is conceived as the fluency of solving reasoning problems. Responses and response times in reasoning tasks are modeled jointly to clarify the covariance structure of reasoning speed and reasoning ability. To determine underlying abilities, the predictive validities of two cognitive covariates, namely perceptual and executive attention, are investigated. A sample of N = 230 test takers completed a reasoning test, Advanced Progressive Matrices (APM), and attention tests indicating perceptual and executive attention. For modeling responses the two-parameter normal ogive model, and for modeling response times the two-parameter lognormal model was applied. Results suggest that reasoning speed is a unidimensional construct representing significant individual differences, and that reasoning speed and ability are negatively correlated but clearly distinguishable constructs. Perceptual and executive attention showed differential effects on reasoning speed and reasoning ability, i.e., reasoning speed is explained by executive attention only, while reasoning ability is explained by both covariates. Implications for the assessment of reasoning are discussed.     

Individuals differ in the attentional blink: Mental speed and intra-subject stability matter

The failure to correctly report two targets (“T₁”, “T₂”) that follow each other in close temporal proximity has been called the “attentional blink” (AB). The AB has, so far, mainly been studied using experimental approaches. The present studies investigated individual differences in AB performance, revealing (among further findings) a high positive correlation between the accuracies of detecting the two targets correctly (r = 0.69); and between T₂∣T₁ accuracy and psychometric intelligence (0.41 ≤ r ≤ 0.43) and RT variability in short-term and working memory (− 0.38 ≤ r ≤ − 0.45). Together, these results support important aspects of major theoretical accounts of the AB from an individual differences perspective and introduce intelligence and intra-subject stability as contributing factors in AB performance.     

Does a sensory processing deficit explain counting accuracy on rapid visual sequencing tasks in adults with and without dyslexia?

The experiments conducted aimed to investigate whether reduced accuracy when counting stimuli presented in rapid temporal sequence in adults with dyslexia could be explained by a sensory processing deficit, a general slowing in processing speed or difficulties shifting attention between stimuli. To achieve these aims, the influence of the inter-stimulus interval (ISI), stimulus duration, and sequence length were evaluated in two experiments. In the first that used skilled readers only, significantly more errors were found with presentation of long sequences when the ISI or stimulus durations were short. Experiment 2 used a wider range of ISIs and stimulus durations. Compared to skilled readers, a group with dyslexia had reduced accuracy on two-stimulus sequences when the ISI was short, but not when the ISI was long. Although reduced accuracy was found on all short and long sequences by the group with dyslexia, when performance on two-stimulus sequences was used as an index of sensory processing efficiency and controlled, group differences were found with presentation of stimuli of short duration only. We concluded that continuous, repetitive stimulation to the same visual area can produce a capacity limitation on rapid counting tasks in all readers when the ISIs or stimulus durations are short. While reduced accuracy on rapid sequential counting tasks can be explained by a sensory processing deficit when the stimulus duration is long, slower processing speed in the group with dyslexia explains the greater inaccuracy found as sequence length is increased when the stimulus duration is short.     

Clinical features of major depressive disorder in adolescents and their relatives: impact on familial aggregation, implications for phenotype definition, and specificity of transmission

Three questions were addressed using family study data from a community sample: (a) Which clinical features of major depressive disorder (MDD) in adolescents are associated with elevated rates of MDD in relatives? (b) Which features of MDD in relatives distinguish family members of depressed adolescents from relatives of adolescents without mood disorders (NMD)? and (c) Do depressed adolescents with particular features have higher proportions of depressed relatives with the same features? Participants included 268 MDD adolescents, 401 NMD adolescents, and their 2,202 first-degree relatives. Rates of MDD were highest among relatives of depressed adolescents with recurrent episodes and greater impairment. Depression severity best distinguished the relatives of depressed adolescents from relatives of controls. Specific clinical features did not aggregate in families.     

Self‐regulation principles underlying risk perception and decision making within the context of genomic testing

Advances in theory and research on self‐regulation and decision‐making processes have yielded important insights into how cognitive, emotional, and social processes shape risk perceptions and risk‐related decisions. We examine how self‐regulation theory can be applied to inform our understanding of decision‐making processes within the context of genomic testing, a clinical arena in which individuals face complex risk information and potentially life‐altering decisions. After presenting key principles of self‐regulation, we present a genomic testing case example to illustrate how principles related to risk representations, approach and avoidance motivations, emotion regulation, defensive responses, temporal construals, and capacities such as numeric abilities can shape decisions and psychological responses during the genomic testing process. We conclude with implications for using self‐regulation theory to advance science within genomic testing and opportunities for how this research can inform further developments in self‐regulation theory.     

Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings

An environmental scan (ES) is an efficient mixed-methods approach to collect and interpret relevant data for strategic planning and project design. To date, the ES has not been used nor evaluated in the clinical cancer genetics setting. We created and implemented an ES to inform the design of a quality improvement (QI) project to increase the rates of adherence to national guidelines for cancer genetic counseling and genetic testing at three unique oncology care settings (OCS). The ES collected qualitative and quantitative data from reviews of internal processes, past QI efforts, the literature, and each OCS. The ES used a data collection form and semi-structured interviews to aid in data collection. The ES was completed within 6 months, and sufficient data were captured to identify opportunities and threats to the QI project’s success, as well as potential barriers to, and facilitators of guideline-based cancer genetics services at each OCS. Previously unreported barriers were identified, including inefficient genetic counseling appointment scheduling processes and the inability to track referrals, genetics appointments, and genetic test results within electronic medical record systems. The ES was a valuable process for QI project planning at three OCS and may be used to evaluate genetics services in other settings.     

Specific Onboarding Practices for the Socialization of New Employees

Onboarding is frequently used by organizations to help socialize newcomers, but little research has focused on the specific onboarding practices organizations use or the effectiveness of those practices in facilitating newcomer adjustment. To begin addressing this gap, this study explores specific onboarding practices and evaluates the Inform‐Welcome‐Guide framework of onboarding practices. Data are presented from representatives of 10 organizations regarding what onboarding practices they offer and how those practices are offered. Three hundred seventy‐three new employees from those same 10 organizations also shared their perceptions of the practices they experienced, when those practices were experienced, and the perceived helpfulness of those practices. Lastly, the extent to which new employees were socialization was assessed. Several research questions and hypotheses among these variables were examined, and most of the hypotheses supported. Implications of these findings for future research and practice are discussed.