Disguise and the structured self-report assessment of psychopathology: I. An analogue investigation.
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Biomedical subjects
Publications and source records attributed to D N Jackson.
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Normal distributions are the foundation of modern statistical procedures, which differ in their sensitivity to violation of the assumption of normality. This paper reports on the effectiveness of two different methods of normalizing distributions of discrete test score data. The scores of 971 Ontario high school students on the 22 scales of PRF-E (Jackson, 1974) were normalized using two variants of the cumulative proportions method and by a rank method. Neither cumulative procedure appreciably altered the modality or skewness of the distributions. The rank method succeeded in normalizing all the distributions, except for an occasional case of platykurtosis. It was concluded that normalization by ranks is to be preferred over cumulative methods for use in situations in which a statistical procedure is sensitive to violations of normality.
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This study utilized a model of inferential accuracy to study the effects of deviant labels on clinical judgments. It was hypothesized that labels would lower both treshold and sensitivity, the key components of the model. Analyses of variance yielded significant effects for labels and specific patterns of psychopathology suggested that labels have differential effects on inferences drawn with regard to various types of psychological disorders. Evidence in support of the generalizability of sensitivity and treshold also was obtained.
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Responses of hospitalized alcoholics to the Minnesota Multiphasic Personality Inventory and the Differential Personality Inventory were intercorrelated and factor analyzed. Considerable heterogeneity of psychopathology within the sample was found.
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