Objective: Appropriate normative data are crucial for competent neuropsychological assessment. Although individuals with psychiatric illness often perform more poorly than healthy adults on neuropsychological testing, data that reflect the psychiatric population are often lacking. We present a normative dataset and calculation tools for the Rey-Osterrieth Complex Figure Test (RCFT) derived from the psychiatric inpatient population. Method: A sample of 301 psychiatric inpatients completed the RCFT and the Test of Memory Malingering (TOMM) between 1999 and 2018. Participants were 59.5% male, 82.1% Caucasian, 13.3% black, and 4.6% identified as another racial demographic, largely consistent with recent Substance Abuse and Mental Health Services Administration (2018) data for inpatients in U.S. psychiatric facilities. Scores for RCFT Copy, Short-Delay Free Recall, Long-Delay Free Recall, Total Recognition, and Percent Retained were modeled via multiple regression with age and education as predictors. Base rates were computed for subscores comprising Total Recognition to aid clinical decision making. Results: Age and education served as significant individual predictors for all models except one model predicting percent retained across delay that included only age. Regression equations and regression standard errors were used to produce a score calculator using a commonly available spreadsheet software package. Healthy adult norms under-estimated performance in our sample, underscoring the importance of these normative data. Conclusions: These normative data for the RCFT represent a large cohort of psychiatric inpatients. For clinical practice and research, both the data and the tools provided are likely to be of particular usefulness among individuals with serious mental illness.
Keywords: Neuropsychology; anxiety; depression; inpatients; memory; mental disorders; psychotic disorders; schizophrenia.