Dimensional complexity and power spectral measures of the EEG during functional versus predicative problem solving

Electroencephalograms were recorded in 22 men while solving tasks of visual-pattern completion and during mental relaxation. They were primed (by foregoing trials) to solve these tasks either in a predicative or functional mode of thinking. Predicative thinking required that in order to complete the pattern the subject had to get involved with the logic of the static structure of the pattern and therefore had to recognize the recurrence of certain features of the elements (e.g., shape, color, and size). Functional thinking required involvement in a dynamic reading of the logic of the pattern and therefore to search for operations and actions to be performed on the pattern elements (e.g., pushing, mirroring, and rotating). The EEG complexity during predicative thinking decreased in comparison to functional thinking and mental relaxation, with this reduction being most pronounced over the right parietal cortex. A reduction in dimensional complexity during functional thinking as compared to mental relaxation, which was concentrated over the left central cortex, although significant, was less clear. The reduced EEG complexity during predicative thought, dominant over the right hemisphere, could reflect increased competitive inhibition among respective cortical neuron assemblies in association with the visual analysis of static element features, converging upon those predicates relevant for the solution.     

Awareness in memory: being explicit about the role of sleep

Sleep is crucial to the 'off-line' consolidation of procedural memory. A recent study by Robertson et al. shows that this might hold true only if the task is trained explicitly, that is, with the subject being aware of the task structure. These new data add to emerging evidence that sleep-related memory consolidation involves an interaction between different memory systems.     

Intentional response distortion on personality tests: using eye-tracking to understand response processes when faking

Intentional response distortion or faking among job applicants completing measures such as personality and integrity tests is a concern in personnel selection. The present study aimed to investigate whether eye-tracking technology can improve our understanding of the response process when faking. In an experimental within-participants design, a Big Five personality test and an integrity measure were administered to 129 university students in 2 conditions: a respond honestly and a faking good instruction. Item responses, response latencies, and eye movements were measured. Results demonstrated that all personality dimensions were fakeable. In support of the theoretical position that faking involves a less cognitively demanding process than responding honestly, we found that response times were on average 0.25 s slower and participants had less eye fixations in the fake good condition. However, in the fake good condition, participants had more fixations on the 2 extreme response options of the 5-point answering scale, and they fixated on these more directly after having read the question. These findings support the idea that faking leads to semantic rather than self-referenced item interpretations. Eye-tracking was demonstrated to be potentially useful in detecting faking behavior, improving detecting rates over and beyond response extremity and latency metrics.     

System consolidation of memory during sleep

Over the past two decades, research has accumulated compelling evidence that sleep supports the formation of long-term memory. The standard two-stage memory model that has been originally elaborated for declarative memory assumes that new memories are transiently encoded into a temporary store (represented by the hippocampus in the declarative memory system) before they are gradually transferred into a long-term store (mainly represented by the neocortex), or are forgotten. Based on this model, we propose that sleep, as an offline mode of brain processing, serves the ‘active system consolidation’ of memory, i.e. the process in which newly encoded memory representations become redistributed to other neuron networks serving as long-term store. System consolidation takes place during slow-wave sleep (SWS) rather than rapid eye movement (REM) sleep. The concept of active system consolidation during sleep implicates that (a) memories are reactivated during sleep to be consolidated, (b) the consolidation process during sleep is selective inasmuch as it does not enhance every memory, and (c) memories, when transferred to the long-term store undergo qualitative changes. Experimental evidence for these three central implications is provided: It has been shown that reactivation of memories during SWS plays a causal role for consolidation, that sleep and specifically SWS consolidates preferentially memories with relevance for future plans, and that sleep produces qualitative changes in memory representations such that the extraction of explicit and conscious knowledge from implicitly learned materials is facilitated.     

The impact of the wording of employment advertisements on students' inclination to apply for a job

Students' inclination to apply for a job was examined as a function of (1) the wording of the desired candidate's profile specified in the employment advertisement and (2) applicant gender. Previous research found that women are more inclined than men to apply for jobs that include a profile corresponding to their gender (i.e., a profile containing prototypically feminine instead of masculine personal characteristics). Based on Fiedler and Semin's (1996) Linguistic Category Model, we expected that this effect would decrease if the desired profile was worded in terms of behaviors/verbs instead of nouns/ adjectives. ANOVA supported this reasoning for women but not for men. We conclude that organizations may increase the number of women applying for particular jobs by changing the presentation form of the advertisement.     

Enhancing Criterion-Related Validity Through Bottom-Up Contextualization of Personality Inventories: The Construction of an Ecological Conscientiousness Scale for Ph.D. Candidates

In this article the concept of “ecological personality scales” is introduced. These are contextualized inventories with a high ecological validity. They are developed in a bottom-up or qualitative way and combine a relatively high trait specificity with a relatively high situational specificity. An ecological Conscientiousness or time management scale for Ph.D. candidates was developed. It significantly predicted Ph.D. performance criteria and showed incremental validity beyond Big Five (Study 1) and narrow trait and frame-of-reference scales (Study 2). These findings suggest that an ecological approach may contribute to further improving the criterion validity of personality measures.     

An In-Depth Look at Dispositional Reasoning and Interviewer Accuracy

Dispositional reasoning is defined as general reasoning about traits, behaviors, and situations. Although earlier accuracy studies found that it predicted interview judgment accuracy, they did not distinguish between its underlying components (i.e., trait induction, trait extrapolation, and trait contextualization). This drawback has hampered insight into the nature of the dispositional reasoning construct. Therefore, we use a componential approach to test if dispositional reasoning adheres to classical criteria for an intelligence. Results from 146 managerial interviewers who observed videotaped interviewees showed that the dispositional reasoning components had positive manifold and predicted interview accuracy. Moreover, they demonstrated discriminant validity with personality and incremental validity over cognitive ability in predicting interview accuracy. Together, findings suggest that dispositional reasoning broadly adheres to the classical criteria for an intelligence.     

Stressors Experienced During Deployment Among Canadian Armed Forces Personnel: Factor Structure of Two Combat Exposure Scales

Combat exposure is linked to increased mental health problems among military personnel. Reliable, precise, and efficient measurement of combat experiences can facilitate understanding of the effects of combat on mental health. This study examined the psychometric properties of 2 scales used to assess deployment experiences in Canadian Armed Forces (CAF) personnel in 2 different settings: during a Third Location Decompression (TLD) program after deployment, and during routine postdeployment screening. Principal components analyses yielded similar results for the 2 measures. The components containing items relevant to Exposure to the Dead and Injured, Dangerous Environment, and Active Combat were common across both surveys. The TLD results revealed a fourth component, Personal Suffering, while the postdeployment screening data revealed a fourth component, Perceived Responsibility. This study found categories of deployment stressors that can be used for further analysis, and underscores the importance of assessing a broad range of exposures in the combat environment.