Date Approved

4-18-2024

Embargo Period

4-18-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Clinical Psychology

Department

Psychology

College

College of Science & Mathematics

Advisor

Thomas Dinzeo, Ph.D. & Dustin Fife, Ph.D

Committee Member 1

Steven Brunwasser, Ph.D.

Committee Member 2

Anastasia Bullock, Psy.D.

Committee Member 3

Mehmet Uygur, Ph.D.

Keywords

Measure; Psychosis; Risk; Schizophrenia; Schizotypy; SEM

Subject(s)

Psychoses--Diagnosis

Disciplines

Clinical Psychology | Social and Behavioral Sciences

Abstract

Psychosis-spectrum disorders remain a leading cause of disability for both individuals and society, with early identification and prevention efforts representing a promising avenue of research for addressing these concerns. One potential impediment to improving early risk identification is the historical focus on indicators thought to be exclusive to the psychosis-spectrum. This focus often comes at the expense of non-specific risk factors (e.g., disrupted sleep, adverse childhood experiences) which contribute to the risk of developing psychosis as well as other mental illnesses. Research suggests the inclusion of these non-specific factors may improve our ability to identify those at risk. The present research collected data on a wide array of both specific and non-specific risk factors to develop a new, more holistic measure of psychosis-spectrum risk. A novel brief measure was developed, the Inclusive Psychosis Risk Inventory (IPRI), which compared favorably to existing psychosis-spectrum risk measures when looking at multiple fit indices as well as when predicting quality of life. The results of this study suggest the IPRI may provide a more holistic, comprehensive snapshot of psychosis-spectrum risk by including both non-specific and specific risk indicators within a single measure. Future research should seek to replicate these findings in more diverse samples and investigate the IPRI’s ability to predict clinical outcomes.

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