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APPLICATION OF LATENT STRUCTURE ANALYSIS TO THE REITANINDIANA APHASIA SCREENING TEST.VAN DE VOORDE, JANET STEELE. January 1983 (has links)
The ReitanIndiana Aphasia Screening Test was examined using a latent structure analysis which involved the assumptions that a latent variable X (brain function), could explain the relationships among the manifest variables A, B, C, D (categories of responses to the Aphasia Test). It was further assumed that within the latent variable a fourclass model would be the preferred model. And, it was assumed that persons clinically assigned to the latent classes would be similarly assigned by their test responses. The model was represented by mathematical equations which express the probability of a given response pattern in a contingency table in terms of the joint probabilities of each latent class and the response pattern. Chisquare values were obtained for the model of independence, for the fourclass model, for the threeclass model and for two twoclass models. Hierarchical subtractions were made which resulted in a preferred model, leaving a Chisquare value to be referred to the Chisquare distribution to determine whether or not the latent class model offered an improvement of fit to the data. Twelve comparisons were made using different item combinations. All 12 showed the fourclass model offered a significant improvement over the model of independence and either of two twoclass models tested. Eleven of the twelve comparisons showed that a fourclass model provided an adequate fit to the data. In seven of those instances the fourclass model was accepted as the preferred model. In the remaining four instances the heirarchical subtractions showed that a fourclass model did not offer significant improvement over the threeclass model, so the threeclass model was accepted as the preferred model due to the criterion of parsimony. The study showed that there are four categories of brain function which can be identified by means of a behavioral test. It also gave the exact coefficient of agreement between assignment of individuals into those categories by clinical and test classification. It was concluded that latent structure analysis is an effective technique to describe brainbehavior relationships. It was further suggested that consideration be given to the use of latent trait statistics to continue to refine the Aphasia Test without compromising the extensive results already achieved.

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Anterior aphasia as a natural category of acquired cognitivecommunicative impairment : implications for cognitive neurolinguistic theory, experimental methods, and clinical practiceYoung, Mary Cherilyn 10 May 2011 (has links)
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