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88. An Exploration of Multiple Risk Factors for Schizotypy in a Nonclinical Population: The Continuum of Psychosis
People with schizotypy demonstrate subclinical symptoms of psychosis (e.g., perceptual disturbances, social functioning impairment, withdrawal). Although most people with schizotypy or schizotypal traits do not go on to develop a psychotic disorder, the likelihood of converting to psychosis is greater for people with schizotypal traits than for those without. Schizotypy may, therefore, reflect an underlying vulnerability for the development of clinical levels of psychosis. However, more research is necessary to increase understanding of the vulnerability factors for psychosis involved in schizotypy. Researchers have identified risk factors related to schizotypy, but most studies have focused on one or a limited number of domains (e.g., trauma, substance use, social functioning, psychopathy) rather than canvassing a more comprehensive range of risk factor domains. This cross-sectional study fills a gap in the literature by exploring what combination of demographic, clinical, personality, and developmental factors best discriminate individuals with schizotypy from those without schizotypy in a college sample, and which variables have the strongest relationships with higher levels of schizotypy. Additionally, researchers have only begun to examine the relationships among schizotypy, psychopathy, and antisocial behaviors. Accordingly, this study attempts to replicate and extend prior research that demonstrates an association between antisocial behaviors and psychopathy, on the one hand, and schizotypy, on the other. Participants consist of a non-clinical sample of undergraduate college students (N = 675) recruited from Montclair State University (MSU) who participated in an online survey and completed self-report measures of psychological symptoms and functioning via Qualtrics. The overarching hypothesis is that demographic, clinical, personality, and developmental factors will significantly differentiate individuals higher in schizotypy from those lower in schizotypy. Data analysis will include descriptive statistics, between-group comparisons (schizotypy vs. non-schizotypy and high vs. low schizotypy) using t-tests and ANOVAs, correlations, and multinomial logistic regression.