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The knowledge about one’s own memory (metamemory) is a topic of research of the various subdisciplines of psychology. There are taken into consideration the relations between metamemory and affective processes, personality, self-awareness, cognitive processes, and social factors. The aim of our study was to identify the determinants of knowledge of one’s own memory and the degree of the adequacy to the actual performance. The study included 50 adult participants without neuropsychiatric impairments. The general subjective assessment of one’s own memory (Memory Effectiveness Assessment Questionnaire), judgment of learning lists of words (JOL), the level of reminders of words and calibration (the degree of convergence of judgments and reminders of words), were the dependent variables. The intensity of affect (SUPIN), efficiency of semantic memory (verbal fluency) and executive functions (Ruff Figural Fluency Test – RFFT), as well as demographic variables were the independent variables. Higher self-assessment of general characteristics of the one’s own memory was positively associated with positive affect as personality trait. Judgment of learning was related to the level of reminders of words, and depended on the efficiency of semantic memory. None of these factors did not explain the calibration. The results confirm that the different forms of metamemory have different determinants. This finding should be applied in the diagnosis and treatment of metacognitive functions.
The model described in earlier papers is applied to approximate the Polish economy by calibration of the parameter's and variable's values reflecting mainly the situation in the base-year 2000. The calibration method applies not only benchmark dataset but also the previous theoretical analysis of the equilibrium state. The results of two types of deterministic simulation experiments are presented in the paper. The simulation results confirm the usefulness of the constructed forty-two equation model for analyzing the effects of changes in relative prices
Calibration is an important issue in research investigating the appropriateness of probability judgements. Traditionally, calibration has been studied using normative standards, which suggested a general bias (overconfidence). Instead of the normative approach, which considers the rightness of probability judgements, the support theory focuses on how judgements are made. The authors' aim was to study the effect of knowledge and feedback on calibration. They selected groups differing in the amount of their knowledge and in the frequency of the feedback relating to this knowledge. They found that only the amount, and not the feedback, influenced calibration. The results are interpreted in accordance of the support theory: intensity (the stereotypical image about the group's knowledge) is used as a basis for calibration, while the weight of the information (feedback) is neglected.
Real options are a tool used in both strategic and project management, endowing companies and projects new value. Among the many valuation methods, of particular importance is binomial tree method, which assumes that the value of real options depends on what is called the state variable. Additional value stems from the fact that this variable occurs in the stochastic process, and is therefore able to achieve useful values. Binomial tree method consists of covering this process with a graph. The size of the growth and decline remains constant, but the problem is to adjust the values such that the whole tree, as best it can, will cover the future movements of the state variable. The paper presents how to estimate these parameters and assess their impact on the cover the future changes of a state variable with a binomial tree. To this end I introduce a measure of coverage quality.
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