失語症の総合的評価値0-1score

―主成分分析を応用して―

抄録

Principal component analysis was applied to summarize test errors in 46 items of the Minnesota Test for Differential Diagnosis of Aphasia into an one-dimensional value. To avoid data dependency of principal components, an attempt was made to normalize the principal components from minimum 0.0 to maximum 1.0 and formalized as f;01=n∑i=1aixi/n∑i=1aiximax. where ai=li/√V(xi), the li is the first characteristic vector of the correlation matrix, and xi, ximax and V(xi)are errors, possible errors and variance of the ith item of the test respectively. This normalzied component was referred to as“0-1 score”which was also formalized as f;01=nΣi=1βixi, whereβi=ai/nΣi=1aiximax and n=46, the number of items to be analyzed. 0-1 score was applied to 176 aphasics and revealed: 1)0-1 score coefficient β i was considered to be stable regardless the samples by which correlation matrices was computed. 2)Correlation coefficient between 0-1 scores and scores of clinically evaluated overall daily-life-speech-activity was high(γ =0.91). 3)Values of0-1 score by the Minnesota Classification of aphasia were thought to be compatible to clinical impression of severity of aphasia. From these results, 0-1 score is a proper measure to summarize test data of the Minnesota Test for Differential Diagnosis of Aphasia to an one-dimensional numerical value and appers to be one of good method for evaulation of aphasia.