Self-control (SC) is an individual trait defined as the ability to pursue long-distance goals in spite of the obstacles generated by current desires, innate or learned automatisms, and physiological needs of an organism. This trait is relatively stable across the life span and it predicts such important features as level of income, quality of social relationships, and proneness to addictions. It is widely believed that the cognitive substrate of SC involves the executive functions (EFs), such as inhibitory control, shifting of attention, and working memory updating. However, the empirical evidence concerning the relationships between trait SC and EFs is not convincing. The present study aims to address two questions: (1) what is the strength of relationships between trait SC and EFs, and (2) which aspects of SC are predicted by particular EFs, if at all. In order to answer these questions, we carried out a psychometric study with 296 participants (133 men and 163 women, mean age 23.31, SD 3.64), whom we investigated with three types of tools: (1) a battery SC scales and inventories, (2) a battery of EFs tasks, and (3) two general intelligence tests. Structural equation modeling approach was used to analyze the data. We found that the latent variables representing SC and the latent variable representing EFs did not show any relationship. The standardized path coefficient between EFs and general intelligence turned out rather strong. We conclude that the trait of SC, measured with questionnaires, does not depend on the strength of cognitive control, measured with EFs tasks.

This study aimed to investigate if two weeks of working memory (WM) training on a progressive N-back task can generate changes in the activity of the underlying WM neural network. Forty-six healthy volunteers (23 training and 23 controls) were asked to perform the N-back task during three fMRI scanning sessions: (1) before training, (2) after the half of training sessions, and (3) at the end. Between the scanning sessions, the experimental group underwent a 10-session training of working memory with the use of an adaptive version of the N-back task, while the control group did not train anything. The N-back task in the scanning sessions was relatively easy (n = 2) in order to ensure high accuracy and a lack of between-group differences at the behavioral level. Such training-induced differences in neural efficiency were expected. Behavioral analyses revealed improved performance of both groups on the N-back task. However, these improvements resulted from the test-retest effect, not the training outside scanner. Performance on the non-trained stop-signal task did not demonstrate any transfer effect. Imaging analysis showed changes in activation in several significant clusters, with overlapping regions of interest in the frontal and parietal lobes. However, patterns of between-session changes of activation did not show any effect of training. The only finding that can be linked with training consists in strengthening the correlation between task performance accuracy and activation of the parietal regions of the neural network subserving working memory (left superior parietal lobule and right supramarginal gyrus posterior). These results suggest that the effects of WM training consist in learning that, in order to ensure high accuracy in the criterion task, activation of the parietal regions implicated in working memory updating must rise.

Available body of evidence concerning the relationship between insight problem solving and working memory (WM) is ambiguous. Several authors propose that restructuring of the problem representation requires controlled search processes, which needs planning and involvement of working memory. Other researchers suggest that the restructuring is achieved through the automatic spread of activation in long-term memory, assigning a limited role to WM capacity. In the present study we examined the correlations between insight problem solving performance and measures of WM updating function (n-back task), including general intelligence (as measured by Raven’s Advanced Progressive Matrices). The results revealed that updating function shared up to 30% of variance with the insight problem task performance, even when the influence of general mental ability was controlled for. These results suggest that insight problem solving is constrained by individual ability to update the content of working memory.

In contrast to vast literature devoted to the relationships between creativity and personality, relatively few studies addressed the question of the creativity–temperament link. Temperament is conceptualized as the biologically rooted, mostly inborn, foundations for personality and other individual traits. Sixty artists and 60 bank officers participated in this study. Their psychometric creativity was measured with Urban and Jellen's ( 1986 Urban , K. K. , & Jellen , H. G. ( 1986 ). Assessing creative potential via drawing production: The Test for Creative Thinking—Drawing Production (TCT—DP) . In A. J. Cropley , K. K. Urban , H. Wagner & W. Wieczerkowski (Eds.), Giftedness: A continuing worldwide challenge (pp. 163 – 169 ). New York , NY : Trillium Press . [Google Scholar] ) Test for Creative Thinking—Drawing Production (TCT—DP) and an experimental task that required word categorization. Temperamental traits were measured with Strelau's Formal Characteristics of Behavior—Temperament Inventory (FCB—TI, 1997 Strelau , J. , Zawadzki , B. , & Piotrowska , A. ( 1997 ). Modele temperamentu nawiązujące do teorii aktywacji i ich implikacje dla inteligencji [Models of temperament pertaining to the activation theory and their implications for intelligence] . Studia Psychologiczne , 35 , 165 – 201 . [Google Scholar] ). It appeared that creativity was positively correlated with the temperamental trait of activity, and negatively with emotional reactivity, but only within the group of artists. Bank officers, who were generally less creative than artists, showed no relationships between creativity and temperament. These findings are interpreted in terms of the role of activity and emotional reactivity in development and expression of one's creative potential.

In this paper, we present a new questionnaire for the assessment of self-control as an individual trait. We describe the process of construction of this assessment tool. We also report the results of relevant validation studies. The questionnaire has two independent versions, one based on self-reports (NAS-50) and another one based on other-reports (NAS-40). The first version consists of five subscales (10 items each), called Initiative and Persistence (IP), Proactive Control (PC), Switching and Flexibility (SF), Inhibition and Adjournment (IA), and Goal Maintenance (GM). Seven samples of participants (N = 934 altogether) took part in the validation study. The second version has not been split into subscales. Both versions obtained satisfactory indices of internal consistency, assessed with Cronbach’s alpha (for NAS- 50 total score a = .861, for the subscales a between .726 and .867; for NAS-40 a = .844). The NAS-50 and NAS-40 scores were highly correlated with other measures of self-control, including Tangney, Baumeister, and Boone’s (2004) self-control scale. They also proved to be entirely independent of general intelligence. In conclusion, both versions can be regarded reliable and valid enough, and therefore suitable for the assessment of trait self-control for research purposes.