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  1.  25
    Structural Equation Modelling of Human Judgement.Philip T. Smith, Frank McKenna, Claire Pattison & Andrea Waylen - 2001 - Thinking and Reasoning 7 (1):51 – 68.
    Structural equation modelling (SEM) is outlined and compared with two non-linear alternatives, artificial neural networks and ''fast and frugal'' models. One particular non-linear decision-making situation is discussed, that exemplified by a lexicographic semi-order. We illustrate the use of SEM on a dataset derived from 539 volunteers' responses to questions about food-related risks. Our conclusion is that SEM is a useful member of the armoury of techniques available to the student of human judgement: it subsumes several multivariate statistical techniques and permits (...)
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  2.  7
    The Relative Success of Recognition‐Based Inference in Multichoice Decisions.Rachel McCloy, C. Philip Beaman & Philip T. Smith - 2008 - Cognitive Science 32 (6):1037-1048.
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    Which Words Are Hard for Autistic Children to Learn?Graham Schafer, Tim I. Williams & Philip T. Smith - 2013 - Mind and Language 28 (5):661-698.
    Motivated by accounts of concept use in autistic spectrum disorder (ASD) and a computational model of weak central coherence (O'Loughlin and Thagard, 2000) we examined comprehension and production vocabulary in typically-developing children and those with ASD and Down syndrome (DS). Controlling for frequency, familiarity, length and imageability, Colorado Meaningfulness played a hitherto unremarked role in the vocabularies of children with ASD. High Colorado Meaningful words were underrepresented in the comprehension vocabularies of 2- to 12-year-olds with ASD. The Colorado Meaningfulness of (...)
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