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Integration theories and self-rating : the application of cognitive algebra to schema theory

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Cumming, Steven Ronald (1987) Integration theories and self-rating : the application of cognitive algebra to schema theory. Coursework Master thesis, University of Tasmania.

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Abstract

An experiment was conducted to investigate the
appropriateness of Anderson's (1981) averaging integration model
to self-rating. This model would enable simultaneous estimation
of the extremity (or position) and importance (or weight) of
those self-schemata involved in a given rating task (Markus,
1977). It was hypothesised that the averaging model of
integration could be described geometrically as predictive of a
"city-block" metric, such that estimates of proximity
(self-descriptiveness of adjective-qualifier pairs) consist of
summed estimates of the proximities of each component of the
stimulus item to a constant comparitor point. Geometrically, this
model therefore predicts that movement through the space in which
rating takes place is horizontal and vertical, but never
diagonal. This model is contrasted with a euclidean metric in
which ratings are predicted from the square root of the summed
squared proximities.
Stimulus items consisted of pairs of adjectives, each
qualified by one of six adverbs.There were two Adjective Type
conditions (Abstract, Concrete) and three Instructional Sets,
yielding a 6 (qualifier of first adjective) X 6 (qualifier of
second adjective) X 2 (adjective type) within-subject factorial
design with Instructional Set as a between groups factor.
Data were visual-analog ratings from 0 (not at all like me)

to 100 (exactly like me). These were subject to a range of model
fitting procedures intended to 'identify convergence with the
averaging and euclidean models, including Median Polish (Tukey,
1975), IMSL iteration procedures, and residuals ANOVA (Anderson,
1982).
Results indicate that neither the averaging nor the euclidean
models satifactorally predicted the ratings obtained, as the data
departs significantly from each. Of the two models, however, the
euclidean model shows superior fit to the data.
It is suggested that the results may be consistent with a
differential-weight averaging model (Anderson, 1982), although
evidence to his conclusion is secondary.

Item Type: Thesis (Coursework Master)
Keywords: Psychology, Self-evaluation, Psychometrics
Copyright Holders: The Author
Copyright Information:

Copyright 1987 the Author - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).

Additional Information:

Thesis (M.Psych.)--University of Tasmania, 1988. Bibliography: leaves 125-127

Date Deposited: 08 Dec 2014 23:58
Last Modified: 09 May 2016 06:46
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