Sergey A. Kornilov

Background. This article reports on the results of an empirical study of interrelationships between indicators of decision-making strategies (indexed by the Iowa Gambling Task, IGT) and traits of tolerance and intolerance for uncertainty that capture the unity of cognitive and personality components of situational representations. 

Objective. Our study tested the hypothesis that overcoming uncertainty in decision making goes beyond cognitive representations of the task but instead is rooted in the construction of the amodal image of an uncertain situation that captures the meaning regulation of perception and action. We hypothesized that when a person is faced with multi-stage decisions, their strategies reflect the contribution of individual differences in attitudes towards uncertainty. 

Design. Using data obtained from n=60 typically developing adults (68% men; Mage = 30.58), we examined the contribution of tolerance/intolerance for uncertainty to a variety of IGT dependent variables at five different stages of the game. 

Results. The data was analyzed using the mixed linear model method as implemented in the lme4 package for R. The results indicated that tolerance for uncertainty significantly contributes to the initial level of behavioral risk, ensuring readiness for decision making under uncertainty. 

Conclusion. Tolerance for uncertainty plays an important role in early stages of orientation in an uncertain modeled game situation, and contributes to the productive development of probabilistic expectations. Intolerance for uncertainty, on the other hand, was shown to contribute to risk in decision making after trial failure, potentially limiting learning in uncertain conditions through risk aversion. 

This paper presents the results of an empirical study investigating individual differences in tolerance and intolerance for uncertainty, using a multidimensional approach. We hypothesized that individual differences in attitudes towards uncertainty are rooted in expectations regarding different sources and subjective evaluations of uncertainty. The results of structural equation modeling and latent profile analysis largely supported these hypotheses. Importantly, latent profile analysis identified four distinct profiles of attitudes towards uncertainty that represented, in addition to classically understood tolerance and intolerance for uncertainty, intolerance for uncertainty with respect to different sources of uncertainty (environment vs. personal relationships).

We describe preliminary data from two studies aimed at investigating the psychometric properties and validity of newly developed measures of morphological knowledge and skills in Russian, namely, the Word Structure subtest, and the Test of Morphological Awareness, in two samples of young Russian-speaking children. Overall, both instruments demonstrated good psychometric properties when analyzed using both classical test theory and a Rasch-modeling IRT approach, and were positively associated with the criterion measures (i.e., the number of grammatical errors in elicited speech samples, spelling, and reading comprehension).

The present paper describes two studies that investigated incremental predictive value of tolerance and intolerance for uncertainty in predicting creativity. The first study shows significant positive incremental predictive power of tolerance for uncertainty over general intelligence in predicting creativity. The second study reveals a negative relationship between intolerance for uncertainty and creativity with fluid intelligence scores being already accounted for. Overall, tolerance for uncertainty promotes creativity, whereas intolerance for uncertainty impedes it, demonstrating that creativity draws on both intellectual potential and processes of uncertainty acceptance.