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LSRC reference Section 4<br />

page 42/43<br />

As adequate test reliability has not been established,<br />

it is impossible to evaluate properly the many<br />

published studies in which construct, concurrent<br />

or predictive validity have been addressed. Riding<br />

(2003b) takes issue with this point, claiming that<br />

a test can be valid without being reliable. Yet he offers<br />

no reasons for suggesting that the CSA is valid when<br />

first administered, but not on later occasions. He<br />

claims that the CSA asks people to do simple cognitive<br />

tasks in a relaxed manner, so ensuring that they use<br />

their natural or ‘default’ <strong>styles</strong>. A counter-argument<br />

might be that people are often less relaxed in a new<br />

test situation, when they do not know how difficult the<br />

tasks will be.<br />

The unreliability of the CSA may be one of the<br />

reasons why correlations of the holist-analytic and<br />

verbal-imagery ratios with other measures have often<br />

been close to zero. Examples of this include Riding<br />

and Wigley’s (1997) study of the relationship between<br />

cognitive style and personality in FE students; the<br />

study by Sadler-Smith, Allinson and Hayes (2000)<br />

of the relationship between the holist-analytic<br />

dimension of the CSA and the intuition-analysis<br />

dimension of Allinson and Hayes’ Cognitive Style<br />

Index (CSI), and Sadler-Smith and Riding’s (1999)<br />

use of cognitive style to predict <strong>learning</strong> outcomes<br />

on a university business studies course.<br />

Evaluation<br />

Despite the appeal of simplicity, there are unresolved<br />

conceptual issues with Riding’s model and serious<br />

problems with its accompanying test, the CSA.<br />

Riding and Cheema (1991) argue that their<br />

holist-analytic dimension can be identified under<br />

different descriptors in many other typologies. However,<br />

being relatively quick at recognising a rectangle hidden<br />

in a set of superimposed outlines is not necessarily<br />

linked with valuing conceptual or verbal accuracy<br />

and detail, being a deep learner or having preference<br />

for convergent or stepwise reasoning. Analysis can<br />

mean different things at perceptual and conceptual<br />

levels and in different domains, such as cognitive<br />

and affective. In his taxonomy of educational objectives,<br />

Bloom (1956) views analysis as a simpler process than<br />

synthesis (which bears some resemblance to holistic<br />

thinking). Riding takes a rather different view, seeing<br />

holists as field-dependent and impulsive, unwilling<br />

to engage in complex analytical tasks. Another point<br />

of difference is that where Riding places analysis<br />

and synthesis as polar opposites, Bloom sees them<br />

as interdependent processes. We simply do not know<br />

enough about the interaction and interdependence<br />

of analytic and holistic thinking in different contexts<br />

to claim that they are opposites.<br />

There are also conceptual problems with the<br />

verbaliser-imager dimension. Few tasks in everyday life<br />

make exclusive demands on either verbal or non-verbal<br />

processing, which are more often interdependent<br />

or integrated aspects of thinking. While there is<br />

convincing evidence from factor-analytic studies<br />

of cognitive ability for individual differences in broad<br />

and specific verbal and spatial abilities (eg Carroll<br />

1993), this does not prove that people who are very<br />

competent verbally (or spatially) tend consistently<br />

to avoid other forms of thinking.<br />

Further problems arise over the extent to which<br />

<strong>styles</strong> are fixed. Riding’s definition of cognitive <strong>styles</strong><br />

refers to both preferred and habitual processes,<br />

but he sees ‘default’ cognitive <strong>styles</strong> as incapable<br />

of modification. Here he differs from other researchers<br />

such as Vermunt (1996) and Antonietti (1999),<br />

both of whom emphasise the role of metacognition<br />

and of metacognitive training in modifying <strong>learning</strong><br />

<strong>styles</strong>. For Riding, metacognition includes an<br />

awareness of cognitive <strong>styles</strong> and facilitates the<br />

development of a repertoire of <strong>learning</strong> strategies<br />

(not <strong>styles</strong>).<br />

Riding seems to consider the ‘default’ position<br />

as being constant, rather than variable. He has not<br />

designed studies to look at the extent to which learners<br />

are capable of moving up and down cognitive style<br />

dimensions in accordance with task demands and<br />

motivation. Although he cautions against the dangers<br />

of labelling learners, he does not avoid this in his<br />

own writing.<br />

Turning now to the CSA instrument, there are problems<br />

with basing the assessment of cognitive style on only<br />

one or two tasks and in using an exclusively verbal<br />

or non-verbal form of presentation for each dimension.<br />

The onus must be on the test constructor to show<br />

that consistent results are obtainable with different<br />

types of task and with both verbal and non-verbal<br />

presentation. There are also serious problems in basing<br />

the assessment on a ratio measure, as two sources<br />

of unreliability are present instead of one.<br />

It is possible that the conceptual issues raised<br />

above can be resolved, and that the construct validity<br />

of Riding’s model of cognitive <strong>styles</strong> may eventually<br />

prove more robust than the reliability of the CSA would<br />

suggest. As Riding and Cheema (1991) argue, similar<br />

dimensions or categories do appear in many other<br />

typologies. However, as things stand, our impression<br />

is that Riding has cast his net too wide and has<br />

not succeeded in arriving at a classification of <strong>learning</strong><br />

<strong>styles</strong> that is consistent across tasks, consistent<br />

across levels of task difficulty and complexity, and<br />

independent of motivational and situational factors.

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