The aim of the research presented in this thesis was to investigate the effects of trainin- on
reasoning and decision making performance. In Experiment Ia study is reported which
examined the relationships between performance on a variety of reasoning tasks and
measures of individual differences. Tasks employed were documented in the literature for
their differential responding according to heuristic and analytic processes. The reasoning
tasks to be utilised in the training studies were also validated. In Chapter 4, two statistical
training studies are reported which demonstrate that analytic responding on everyday
reasoning problems can be increased after instruction on the Law Of Large Numbers. Bias
was eliminated, but only on written justifications of their responses. Belief-based
responding was still utilised when participants were asked for a quick indication of
argument strength on a rating scale. This demonstrates a dissociation between analytic and
belief-based responding. A second series of experiments explored the effects of both
abstract and schema-based training on selection task responding. All the training
procedures resulted in positive transfer apart from training on the logic of the material
conditional which facilitated perforinance on arbitrary tasks only. Relationships between
perforinance on the tasks post-training and cognitive ability indicated that training was
more effective for higher ability participants. The differential training effects were
discussed in terrns of complexity of training procedures. The findings overall have
implications for dual process theories of reasoning. The findings suggest that the
interaction between training and System I and System 2 tasks/responses is a great deal
more complicated than the simple analysis that is afforded by dual process accounts.
Date of Award | 2005 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Simon Handley (Other Supervisor) |
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Training and dual processes in human thinking
Neilens, H. L. (Author). 2005
Student thesis: PhD