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Intuitive Perceptions of Decision‐making Strategy: Naive Assessors' Concepts of Integrative Complexity
Author(s) -
Suedfeld Peter,
Vries Brian,
Bluck Susan,
Wallbaum Alistair B. C.,
Schmidt Paul W.
Publication year - 1996
Publication title -
international journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.75
H-Index - 62
eISSN - 1464-066X
pISSN - 0020-7594
DOI - 10.1080/002075996401061
Subject(s) - perception , psychology , affect (linguistics) , cognitive psychology , dimension (graph theory) , function (biology) , social psychology , mathematics , communication , neuroscience , evolutionary biology , pure mathematics , biology
Although there are measurable differences in integrative complexity among solutions that individuals generate in dealing with problems, it is uncertain to what extent people comprehend, recognize, and have preferences among different levels of complexity. Integrative complexity is a function of differentiation (the perception of several attributes within, or perspectives about, a topic) and integration (combining the differentiated characteristics in an interactive or synthesizing solution). The current paper reports two experiments dealing with how university students perceive, interpret, and choose among solutions differing in complexity. Experiment 1 showed that subjects accurately rated the complexity of described solutions differing along the continuum, but that their assessment of their own responses differed from the results of expert scoring. Their self‐estimated complexity was highly correlated with their preferences, and preferred complexity was reliably higher than either expert‐ or self‐assessed complexity of subject‐generated solutions. Subjects were able to hypothesize quite accurately about environmental and endogenous factors likely to affect complexity. Experiment 2 found that in response to problem scenarios, solutions selected as being potentially most effective were consistently more complex than solutions that participants considered themselves most likely to use. The idea of complexity seems to be intuitively recognizable and understandable by untrained subjects: They can and do distinguish among problem solutions (self‐generated or presented) that vary on that dimension, and are able to assess accurately the effects of relevant variables. Such subjects also share the bias shown by experts in favour of the superiority of more complex approaches.