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Journal Article

Citation

Fischer GH, Kowar P. Accid. Anal. Prev. 1977; 9(3): 203-215.

Copyright

(Copyright © 1977, Elsevier Publishing)

DOI

unavailable

PMID

unavailable

Abstract

Measurement of perceptual capacity is of decisive importance in assessing the psychological aptitude of drivers. To test individual differences in perceptual capacity a new test was recently developed which measures the quick structuralization of complex traffic situations. This slide series combines the advantages of the "Cologne Series" (multiple choice format, allowing group testing) with the advantages of the "Viennese Series" (complete grasp of complex traffic situations).Furthermore, the poorly grounded test theoretical fundaments of these two earlier tests was now substituted by the "logistic test model" from RASCH which can be tested empirically and was found to apply well to the data: one single dimension was sufficient to explain individual differences in test performance. In other words, it was found that the construct "attainment of an overall view in traffic situations" is onedimensional and therefore can be measured by a single score.The data from 291 subjects from a heterogeneous population (students, police trainees and a sample of subjects who were sent by the official doctor for a traffic-psychological examination) were used in the empirical analysis. Due to the model used, it was possible to construct two homogeneous parallel sub-tests (sub-test 1 and 2) and to produce a table for the conversion of results from each of the three tests (whole test, sub-test 1 and 2) into each other. The precision of test results was described by means of confidence intervals of the person parameters and in addition by the so called "information functions".Finally it was tried to explain the difficulty (or cognitive complexity) of every item on the basis of those factors which facilitate or handicap correct recognition and reproduction, by means of a generalization of the logistic model, the so called "linear logistic test model". This goal, however, could not be reached since the data contradicted the assumptions of the model.

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