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Causal attribution by sensing and intuitive types during diagnostic problem solving
Authors:N C Boreham
Institution:(1) Centre for Adult and Higher Education, Department of Education, The University, M13 9PL Manchester, UK
Abstract:Attempts by sensing and intuitive types to diagnose a malfunctioning industrial system by operating a computer-based data bank were compared in terms of (1) the extent of their causal attributions, and (2) their use of different information-gathering control operations. As predicted by Jungian type theory, intuitives made significantly more causal attributions to factors lying behind the immediately perceived malfunction (P<0.03). There were no significant differences between the two types' use of control operations. The implications of these findings for attribution theory, the theory of diagnostic error, and for the education of diagnosticians are discussed.
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