Generalized mixed-effects model of the effects of declarative learning ability, procedural learning ability, session and ID covariates on accurate performance in symmetric contexts (R2Δ = .46; marginal R2Δ = .24, C.N. = 1.61).</p
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>Summary of fixed effects in mixed-effects models for Prime Race, Prime Age, and target object/wor...
<p>Results of linear mixed model on Mean Response Accuracy as a Function of Task Load, Race of Parti...
Generalized mixed-effects model of the effects of declarative learning ability, procedural learning ...
<p>Fixed effects results of the generalized linear mixed-effects model to predict the proportion of ...
Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age ...
Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, ...
<p>Estimates of the β values for the fixed effects in the model predicting the expected time to comp...
<p>Candidate linear mixed-effects models to explain variability on practices score using site as ran...
<p>Statistical analyses of differences in behavior. Linear mixed model with trial, learning phase (p...
<p>Univariate, bivariate and adjusted results of generalized linear mixed effect ordinal logit model...
220 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.Models for cognitive diagnosi...
The learning curves of optimisation algorithms, plotting the evolution of the objective vs. runtime ...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
Parameter estimates for the generalized mixed-effects model for the response accuracy.</p
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>Summary of fixed effects in mixed-effects models for Prime Race, Prime Age, and target object/wor...
<p>Results of linear mixed model on Mean Response Accuracy as a Function of Task Load, Race of Parti...
Generalized mixed-effects model of the effects of declarative learning ability, procedural learning ...
<p>Fixed effects results of the generalized linear mixed-effects model to predict the proportion of ...
Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age ...
Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, ...
<p>Estimates of the β values for the fixed effects in the model predicting the expected time to comp...
<p>Candidate linear mixed-effects models to explain variability on practices score using site as ran...
<p>Statistical analyses of differences in behavior. Linear mixed model with trial, learning phase (p...
<p>Univariate, bivariate and adjusted results of generalized linear mixed effect ordinal logit model...
220 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.Models for cognitive diagnosi...
The learning curves of optimisation algorithms, plotting the evolution of the objective vs. runtime ...
Mixed-effect modeling is recommended for data with repeated measures, as often encountered in design...
Parameter estimates for the generalized mixed-effects model for the response accuracy.</p
<p>The correlation between the number of positive, negative, and neutral statements as a function of...
<p>Summary of fixed effects in mixed-effects models for Prime Race, Prime Age, and target object/wor...
<p>Results of linear mixed model on Mean Response Accuracy as a Function of Task Load, Race of Parti...