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In 2001, psychologist Ian J. Deary published the first large-scale study of intelligence and reaction time in a representative population sample across a range of ages, finding a correlation between psychometric intelligence and simple reaction time of –0.31 and four-choice reaction time of –0.49.
The power law of practice states that the logarithm of the reaction time for a particular task decreases linearly with the logarithm of the number of practice trials taken. It is an example of the learning curve effect on performance.
Carl Jung took up the idea in his book Psychological Types, arguing that in psychology "one sees what one can best see oneself". [6] He continued to wrestle in later writings with the problems of psychological solipsism and infinite regress this potentially posed, [ 7 ] and considered every therapist should have at least a good working ...
Exceptions to Hick's law have been identified in studies of verbal response to familiar stimuli, where there is no relationship or only a subtle increase in the reaction time associated with an increased number of elements, [5] and saccade responses, where it was shown that there is either no relationship, [6] or a decrease in the saccadic time ...
Psychological distance is the degree to which people feel removed from a phenomenon. Distance in this case is not limited to the physical surroundings, rather it could also be abstract. Distance can be defined as the separation between the self and other instances like persons, events, knowledge, or time. [1]
The order of reaction is a number which quantifies the degree to which the rate of a chemical reaction depends on concentrations of the reactants. [2] In other words, the order of reaction is the exponent to which the concentration of a particular reactant is raised. [2]
The formula states that behavior is a function of the person and their environment: [1] = (,) Where is behavior, is person, and is the environment.. This equation was first presented in Lewin's book, Principles of Topological Psychology, published in 1936. [2]
The reverse correlation technique is a data driven study method used primarily in psychological and neurophysiological research. [1] This method earned its name from its origins in neurophysiology, where cross-correlations between white noise stimuli and sparsely occurring neuronal spikes could be computed quicker when only computing it for segments preceding the spikes.