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Abstract
The aim of this study was to examine the value of positive and negative symptoms of schizophrenia, as measured on the Positive and Negative Syndrome Scale (PANSS), in classifying outpatients who manage their finances independently (n = 25) from those who do not (n = 24). Logistic regression analysis showed that, unlike the positive symptom subscale of the PANSS, the negative symptom subscale was statistically reliable and demonstrated moderate classification accuracy in distinguishing those who managed their finances independently from those who cannot.
Acknowledgments
Portions of the article served as the Doctoral Dissertation of the second author. This research was supported by the College of Social Sciences Dean's Faculty Development Program at Xavier University, Cincinnati, OH.