By H. J. Eysenck (auth.), Professor Hans J. Eysenck (eds.)
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Extra resources for A Model for Intelligence
The present writer's work on the Fumeaux approach included measures of E and N and thus enabled the testing of a number of predictions derived from Eysenck's theory of personality-test performance relationships. Before summarizing the findings, it is important to note that the theory requires a number of conditions to be satisfied before hypothesis testing is regarded as valid. For instance, the observed impact off E or N is likely to be a function of the degree of each in the sample. An ambivert group and crudely measured variables would not be regarded as an adequate combination with which to test hypotheses.
Indeed, it is not possible to know how Fumeaux (1961) determined such a correction factor as he does not give further details. In any case, such irrelevant activity times need to be partialled out of the data for each of the items that is to be used in reaching the answers to the research problems. Some of the problems inherent in testing large groups can be overcome by testing small groups of four to six SUbjects. Hunsicker (1925) employed this procedure as did Cane and Hom (1951). However, the item times still included irrelevant components, such as writing the solution and operating the apparatus.
G. Heim 1970, Anstey 1966), but as yet no substantial advances have been made (Angoff 1971). A more recent view of the problem of 'difficulty' has been presented in the information theory approach of Newell and Simon (1972). They descirbe their tasks as being 'moderately difficult problems of a symbolic nature' (p. 3). The time taken to solve problems is regarded both as an important aspect of difficulty as well as being an index of difficulty. However, they recognize that , difficulty' requires reconceptualization in the framework of their approach: In constructing a theory of problem difficulty we should like to identify those aspects of task environment and the problem solver that are the major determinants of difficulty - whether measured by solution time or any of the alternative measures.
A Model for Intelligence by H. J. Eysenck (auth.), Professor Hans J. Eysenck (eds.)