Response time (RT) distributions for large and small problem sizes were obtained under both speed- and accuracy-stressed instructions in a multiplication production task. Fitting the ex-Gaussian distributional model to the individual RT data allowed for the derivation of quantitative measures of distributional shape. Statistical results indicate that small problem size RT distributions differ from large problem size RT distributions with respect to both the mean of the normal component, m (larger for large problems) and the size of the tail, t, (larger for large problems). Accuracy instruction RT distributions also differ from speeded instruction RT distributions with respect to m (larger under accuracy instructions), and t (larger ...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...
A well documented empirical effect in the mental arithmetic literature is the problem size effect, a...
Abstract. Simple continuous estimation of distribution algorithms are applied to a benchmark real-wo...
In the current paper, distributional analyses were used to provide a detailed description of additio...
<p>Shown are estimates of the factor (to be multiplied by ) and the exponent , together with p-valu...
We consider tests of the hypothesis that the tail of size distributions decays faster than any power...
<p>(A) Normalized cumulative distributions for correct trials under accuracy conditions. Darker curv...
This Mathematica demonstration compares the sample uniform probability distribution with the theoret...
Includes bibliographical references (pages 93-95)Two experiments were performed to test Ornstein's (...
Among the possible response time (RT) decomposition rules, three are of a traditional interest: addi...
Once learned, simple arithmetic facts are thought to be represented in a dedicated long term memory ...
<p>(<b>A</b>) Examples of the three different distributions of label sizes investigated: Uniform, li...
The response surface methodology (RSM) is a collection of mathematical and statistical techniques us...
Click on the DOI link to access the article (may not be free).This study examined, through the probl...
The aim of this study was to examine whether differences in strategy selection and/or strategy effic...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...
A well documented empirical effect in the mental arithmetic literature is the problem size effect, a...
Abstract. Simple continuous estimation of distribution algorithms are applied to a benchmark real-wo...
In the current paper, distributional analyses were used to provide a detailed description of additio...
<p>Shown are estimates of the factor (to be multiplied by ) and the exponent , together with p-valu...
We consider tests of the hypothesis that the tail of size distributions decays faster than any power...
<p>(A) Normalized cumulative distributions for correct trials under accuracy conditions. Darker curv...
This Mathematica demonstration compares the sample uniform probability distribution with the theoret...
Includes bibliographical references (pages 93-95)Two experiments were performed to test Ornstein's (...
Among the possible response time (RT) decomposition rules, three are of a traditional interest: addi...
Once learned, simple arithmetic facts are thought to be represented in a dedicated long term memory ...
<p>(<b>A</b>) Examples of the three different distributions of label sizes investigated: Uniform, li...
The response surface methodology (RSM) is a collection of mathematical and statistical techniques us...
Click on the DOI link to access the article (may not be free).This study examined, through the probl...
The aim of this study was to examine whether differences in strategy selection and/or strategy effic...
We investigate the relation between speed and accuracy within problem solving in its simplest non-tr...
A well documented empirical effect in the mental arithmetic literature is the problem size effect, a...
Abstract. Simple continuous estimation of distribution algorithms are applied to a benchmark real-wo...