Category Archives: 11. Modelling – distributions

Modelling – examining correlations: first, look at predictor distributions

Posted on May 4, 2013 by robayedavies

This post follows on from the previous post, concerning the examination of variable distributions. It is always useful to plot the distribution of variables like item attributes e.g. item length in letters. One important benefit of doing so is identifying … Continue reading →

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Modelling – examining correlations: first, look at predictor distributions

Posted on May 4, 2013 by robayedavies

This post will take a more in-depth look at the relationships between variables. A key property of experimental data is that we measure attributes – characteristics of people,  stimuli, and behaviour – and that those measurements (the numbers) vary. Numbers … Continue reading →

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