Executive functions in decision making: An individual differences approach

This individual differences study examined the relationships between three executive functions (updating, shifting, and inhibition), measured as latent variables, and performance on two cognitively demanding subtests of the Adult Decision Making Competence battery: Applying Decision Rules and Consistency in Risk Perception. Structural equation modelling showed that executive functions contribute differentially to performance in these two tasks, with Applying Decision Rules being mainly related to inhibition and Consistency in Risk Perception mainly associated to shifting. The results suggest that the successful application of decision rules requires the capacity to selectively focus attention and inhibit irrelevant (or no more relevant) stimuli. They also suggest that consistency in risk perception depends on the ability to shift between judgement contexts.     

Exploring the Relationship between Psychopathy and Helping Behaviors in Naturalistic Settings: Preliminary Findings

This study examined the helping behavior of participants with high (High-P; 15 males, 13 females) and low (Low-P; 14 males, 16 females) psychopathic traits without their awareness. In the first of three tests, we found Low-P participants offered more help to an apparently lost female confederate than High-P participants. In the second test, High-P compared to Low-P males offered more help to an “injured” female experimenter, the reverse was true for females. In the third test, High-P compared to Low-P females offered more help to a female confederate who had apparently dropped papers they were carrying; whereas the reverse was true for males. Our preliminary findings indicate that context, gender and psychopathic traits interact and impact helping behavior.     

Exploring temperamental differences in infants from the USA and the Netherlands

This longitudinal study employed the Infant Behaviour Questionnaire-Revised in assessing temperamental differences between infants at 6 months (n = 114 US, 184 Dutch) and 12 months (n = 92 US, 172 Dutch) from the USA and the Netherlands. Main effects indicated that Dutch infants were rated higher on the Orienting/Regulatory Capacity (ORC) factor and fine-grained dimensions of smiling and laughter, falling reactivity, cuddliness, low-intensity pleasure, and soothability, whereas US infants received higher ratings on the Negative Affectivity factor and on dimensions of activity level, vocal reactivity, fear, frustration, and sadness. Cultural differences for ORC were more pronounced in early infancy, cultural differences for Fear were stronger in late infancy, and US infants demonstrated higher duration of orienting at 12 months only. Culture also appeared to impact the pace of consolidation of temperamental characteristics, with greater stability exhibited by US than Dutch infants in smiling and laughter and vocal reactivity.     

Reading span task performance,linguistic experience,and the processing of unexpected syntactic events

Accounts of individual differences in online language processing ability often focus on the explanatory utility of verbal working memory, as measured by reading span tasks. Although variability in reading span task performance likely reflects individual differences in multiple underlying traits, skills, and processes, accumulating evidence suggests that reading span scores also reflect variability in the linguistic experiences of an individual. Here, through an individual differences approach, we first demonstrate that reading span scores correlate significantly with measures of the amount of experience an individual has had with written language (gauged by measures that provide “proxy estimates” of print exposure). We then explore the relationship between reading span scores and online language processing ability. Individuals with higher reading spans demonstrated greater sensitivity to violations of statistical regularities found in natural language—as evinced by higher reading times (RTs) on the disambiguating region of garden-path sentences—relative to their lower span counterparts. This result held after statistically controlling for individual differences in a non-linguistic operation span task. Taken together, these results suggest that accounts of individual differences in sentence processing can benefit from a stronger focus on experiential factors, especially when considered in relation to variability in perceptual and learning abilities that influence the amount of benefit gleaned from such experience.     

An investigation of the role of some person and situation variables in multiple cue probability learning

Making decisions using judgements of multiple non-deterministic indicators is an important task, both in everyday and professional life. Learning of such decision making has often been studied as the mapping of stimuli (cues) to an environmental variable (criterion); however, little attention has been paid to the effects of situation-by-person interactions on this learning. Accordingly, we manipulated cue and feedback presentation mode (graphic or numeric) and task difficulty, and measured individual differences in working memory capacity (WMC). We predicted that graphic presentation, fewer cues, and elevated WMC would facilitate learning, and that person and task characteristics would interact such that presentation mode compatible with the decision maker's cognitive capability (enhanced visual or verbal WMC) would assist learning, particularly for more difficult tasks. We found our predicted main effects, but no significant interactions, except that those with greater WMC benefited to a larger extent with graphic than with numeric presentation, regardless of which type of working memory was enhanced or number of cues. Our findings suggest that the conclusions of past research based predominantly on tasks using numeric presentation need to be reevaluated and cast light on how working memory helps us learn multiple cue–criterion relationships, with implications for dual-process theories of cognition.     

Going with your gut: How William James' theory of emotions brings insights to risk perception and decision making research

The basic premise of William James' theory of emotions – that bodily changes lead to emotional feelings – ignited debate about the relative importance of bodily processes and cognitive appraisals in determining emotions. Similarly, theories of risk perception have been expanding to include emotional and physiological processes along with cognitive processes. Taking a closer look at The Principles of Psychology, this article examines how James' propositions support and extend current research on risk perception and decision making. Specifically, James (1) described emotional feelings and their related cognitions in ways similar to current dual processing models; (2) defended the proposition that emotions and their expressions serve useful and adaptive functions; (3) suggested that anticipating an emotion can trigger that emotion due to associations learned from past experiences; and (4) highlighted individual differences in emotional experiences that map on well with individual differences in risk-related decision making.     

Beyond objectivity: The performance impact of the perceived ability to learn and solve problems

The purpose of this research was to develop and provide initial validation evidence for the performance impact of a measure of an individual's perceived ability to learn and solve problems (PALS). Building on the self-efficacy literature and the importance of learning and problem solving, the fundamental premise of this research was that PALS would significantly explain employee performance. In addition to demonstrating that PALS represented a distinct construct, PALS was a significant predictor of performance for managerial and entry-level employees in two different organizational contexts. Moreover, PALS explained additional variance in performance beyond general mental ability, personality, and similar constructs related to learning and problem solving.     

Where cognitive development and aging meet: face learning ability peaks after age 30

Research on age-related cognitive change traditionally focuses on either development or aging, where development ends with adulthood and aging begins around 55 years. This approach ignores age-related changes during the 35 years in-between, implying that this period is uninformative. Here we investigated face recognition as an ability that may mature late relative to other abilities. Using data from over 60,000 participants, we traced the ability to learn new faces from pre-adolescence through middle age. In three separate experiments, we show that face learning ability improves until just after age 30 – even though other putatively related abilities (inverted face recognition and name recognition) stop showing age-related improvements years earlier. Our data provide the first behavioral evidence for late maturation of face processing and the dissociation of face recognition from other abilities over time demonstrates that studies on adult age development can provide insight into the organization and development of cognitive systems.     

Individual differences in the neural basis of causal inferencing

This study used fMRI to examine individual differences in the neural basis of causal inferencing. Participants with varying language skill levels, as indexed by scores on the vocabulary portion of the Nelson-Denny Reading Test, read four types of two-sentence passages in which causal relatedness (moderate and distant) and presence or absence of explicit clause connectives were orthogonally varied to manipulate coherence and cohesion during inference generation. Skilled readers showed better neural efficiency (less activation) during all context sentences and during all inference conditions. Increased activation in less-skilled readers was most extensively distributed in the right hemisphere (RH) homologues of left hemisphere (LH) language areas, especially in the most difficult passage types. Skilled readers also showed greater sensitivity to coherence (greater activation and synchronization in moderately related than distantly related passages) whereas less-skilled readers showed sensitivity to cohesion (greater activation and synchronization when clause connectives were present than when they were not). These finding support the hypothesis that skilled reading comprehension requires recruitment of the RH on an “as needed” basis. We describe the dynamic spillover hypothesis, a new theoretical framework that outlines the conditions under which RH language contributions are most likely evoked.     

How to get really smart: Modeling retest and training effects in ability testing using computer-generated figural matrix items

The interpretation of retest scores is problematic because they are potentially affected by measurement and predictive bias, which impact construct validity, and because their size differs as a function of various factors. This paper investigates the construct stability of scores on a figural matrices test and models retest effects at the level of the individual test taker as a function of covariates (simple retest vs. training, use of identical vs. parallel retest forms, and general mental ability). A total of N = 189 subjects took two tests of matrix items that were automatically generated according to a strict construction rationale. Between test administrations, participants in the intervention groups received training, while controls did not. The Rasch model fit the data at both time points, but there was a lack of item difficulty parameter invariance across time. Training increased test performance beyond simple retesting, but there was no large difference between the identical and parallel retest forms at the individual level. Individuals varied greatly in how they profited from retest experience, training, and the use of identical vs. parallel retest forms. The results suggest that even with carefully designed tasks, it is problematic to directly compare scores from initial tests and retests. Test administrators should emphasize learning potential instead of state level assessment, and inter-individual differences with regard to test experience should be taken into account when interpreting test results.