https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13650 Wed 11 Apr 2018 13:53:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11035 Wed 11 Apr 2018 10:02:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23646 Tue 16 Oct 2018 12:11:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16199 Sat 24 Mar 2018 08:03:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20532 Sat 24 Mar 2018 08:02:41 AEDT ]]> 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:27678 Sat 24 Mar 2018 07:33:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36720 Mon 20 Jul 2020 13:09:41 AEST ]]>