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Non-Parametric Data Analysis 1: Comparison (Chi-Square, Mann-Whitney & Kruskal-Wallis) [Arabic]
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Non-parametric analysis of recognition experiments - ResearchGate
A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis...
A non-parametric analysis of recognition experiments - Springer
A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A non-parametric analysis of recognition experiments.
A nonparametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A non-parametric analysis of recognition experiments
A non-parametric method is presented, based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
An efficient non-parametric analysis of recognition memory)
A non-parametric analysis of recognitionexperimentshasbeenpresentedforthecaseinwhichonlyasingle recognition scoreisavailable (Pollack & Norman. 1964). That analysis approximates an analysis of recognition experiments with important theoretical properties, which requires several recognition scores (Green, 1964).
An efficient non-parametric analysis of recognition memory
A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented.
A non-parametric analysis of recognition experiments
A non-parametric analysis of recognition experiments ... A non-parametric analysis of recognition experiments. Don Norman. Psychonomic Science. See Full PDF Download PDF.
Measuring recognition memory - PubMed
Comparing 4 models of recognition memory, Snodgrass and Corwin (1988) found that measures of bias from the distribution-free (nonparametric) model were inadequate. However, their analysis was based on bias measures that can be shown a priori to be nonindependent of discrimination.
[PDF] A note on ROC analysis and non-parametric estimate of ...
A non-parametric method is presented, based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A non-parametric analysis of recognition experiments) - Springer
experiments) Abstraet A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment ...
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A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis...
A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A nonparametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A non-parametric method is presented, based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
A non-parametric analysis of recognition experiments has been presented for the case in which only a single recognition score is available (Pollack & Norman. 1964). That analysis approximates an analysis of recognition experiments with important theoretical properties, which requires several recognition scores (Green, 1964).
A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented.
A non-parametric analysis of recognition experiments ... A non-parametric analysis of recognition experiments. Don Norman. Psychonomic Science. See Full PDF Download PDF.
Comparing 4 models of recognition memory, Snodgrass and Corwin (1988) found that measures of bias from the distribution-free (nonparametric) model were inadequate. However, their analysis was based on bias measures that can be shown a priori to be nonindependent of discrimination.
A non-parametric method is presented, based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment.
experiments) Abstraet A non-parametric method for evaluating the results of recognition memory experiments and psychophysical detection experiments is presented. The method is based upon an ordinal analysis of recognition performance, which transforms the results of recognition tests into equivalent results for a forced-choice experiment ...