Schizophrenia is a severe psychotic illness of unknown cause that affects 1% of the population worldwide. Currently, there is no diagnostic test for schizophrenia. Instead, the diagnosis is typically established through a psychiatric interview of the patient, who is evaluated against a set of established criteria of signs and symptoms. It can take many months to years to establish a diagnosis of schizophrenia and achieve an appropriate treatment regimen to attain resolution of the patient's symptoms. This process is particularly challenging in areas of limited access to specialists a problem not only in third world countries and rural regions, but throughout the United States where there can be long waits to obtain an appointment with a psychiatrist. The present research experiment investigates a potential novel method for diagnosing schizophrenia. The overall objective of the study is to test the hypothesis that patients with schizophrenia will have a heightened tolerance to the sedating effects of anti-psychotic medications, which will be reflected in differences in their electroencephalogram (EEG) when compared to healthy normal controls. The investigators expect that the schizophrenia patients will score on the more alert and less sleepy ends of these scales, and that the normal control subjects will show the opposite response. A patient that fails to become sedated or experience the sleepiness side effects, typically caused by the anti-psychotic medication, may support the existing diagnosis of schizophrenia. Measures of the subjects' level of sedation that are found to correlate significantly with EEG response and diagnosis will be used to create a diagnostic test. This simple and inexpensive test will consist of a single dosage of anti-psychotic medication, and a rapid assessment tool with scores that have a high degree of predictive validity for the diagnosis of schizophrenia.