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Can't see the trees for the forest: The benefits of using Random Forests analysis method

Research output: Contribution to conference - Without ISBN/ISSN Speech

Published
Publication date28/06/2019
<mark>Original language</mark>English
EventLancaster University Psychology PhD Conference: Internal annual conference - Lancaster University, Lancaster, United Kingdom
Duration: 28/06/201928/06/2019

Conference

ConferenceLancaster University Psychology PhD Conference
CountryUnited Kingdom
CityLancaster
Period28/06/1928/06/19

Abstract

As Psychologists, we are often interested in interaction effects that are small in size. Finding these, however, is a challenge, with even the most advanced statistical methods falling foul of multi collinearity, order effects, singularity and model non-convergence. I share my experience of the Random Forest approach - it allows me to enter all my predictors, co-linear and all, deals with non-normal distributions intuitively and can also assist in variable selection if I ask it to.