M.A. Clinical Psychology
College of Science & Mathematics
Dustin A. Fife, PhD and Thomas Dinzeo, PhD
Committee Member 1
Steven Brunwasser, PhD
Committee Member 2
Chelsie Young, PhD
Psychosis, Quantitative, Schizophrenia, Schizotypy
Schizotypal personality disorder
There are currently many different conceptualizations of schizophrenia risk, which we argue is detrimental to any efforts to build a cumulative science in this area. This paper sought to evaluate various conceptualizations of schizophrenia risk and the extent to which they overlap. This paper attempts to identify overlap by utilizing meta-analytic methods in conjunction with data collected from a sample of undergraduate college students (n = 80). To do so, we first collected estimates of various schizophrenia risk measures and risk correlates from the literature. These estimates were subsequently combined with collected data. This paper attempted to analyze review data and collected data using meta-analytic structural equation modeling (MASEM) in a novel way. Analysis of our collected data provided support for a hybrid model where risk subscales loaded onto symptom clusters and two risk measures (SPQ-BR and O-LIFE) captured unique variance. Overall, our results appear to support a movement towards consolidating the fragmented risk literature and identified specific risk measures which may be candidates for consolidation. Future research in this area may expand data collection efforts and examine risk measures at an item level with the ultimate goal of developing a novel risk measure which incorporates pre-existing measures.
O'Kane, Thomas W., "The many faces of schizophrenia risk: Can measures of risk be aggregated?" (2021). Theses and Dissertations. 2910.