https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44666 Wed 19 Oct 2022 13:56:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28834 Tue 24 Aug 2021 14:35:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21814 Journal of Mathematical Psychology, 19, 137–181, 1979) is a graphical analysis that can determine whether one or more than one latent variable mediates an apparent dissociation between the effects of two experimental manipulations. State-trace analysis makes only ordinal assumptions and so, is not confounded by range effects that plague alternative methods, especially when performance is measured on a bounded scale (such as accuracy). We describe and illustrate the application of a freely available GUI driven package, StateTrace, for the R language. StateTrace automates many aspects of a state-trace analysis of accuracy and other binary response data, including customizable graphics and the efficient management of computationally intensive Bayesian methods for quantifying evidence about the outcomes of a state-trace experiment, developed by Prince, Brown, and Heathcote (Psychological Methods, 17, 78–99, 2012).]]> Sat 24 Mar 2018 07:58:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26194 Sat 24 Mar 2018 07:24:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32411 Mon 23 Sep 2019 14:02:23 AEST ]]>