One of the difficulties encountered by therapists working with individuals with obsessive-compulsive (OC) symptoms/disorder is the resistance of OC symptoms to change. A factor that may affect the prognosis for such individuals is the extent to which their symptoms result in positive or negative functional consequences. The current study describes the development, reliability, and validity of a new scale — the Obsessive Compulsive Self-Syntonicity of Symptoms Scale (OCSSSS) - that measures the positive and negative functional consequences of OC symptoms. Items were generated by the principal investigator and major professor after examining the research literature for OC and related disorders. Fifty-four items were generated, which yielded a robust, seven component structure through principal components analysis. Items were rated on a 1-5 Likert scale (1=extremely inconsistent - 5=extremely consistent) with an option of "not applicable" (coded as "0"). Higher scores on the OCSSSS indicated more perceived functional consequences of OC symptoms in an individual's daily life. The sample consisted of 634 students, who responded to an advertisement describing general examples of OC symptoms and who completed several measures online, including: 1) Yale Brown Obsessive Compulsive Scale, Self Report (Y-BOCS-SR); 2)Obsessive Compulsive Inventory Revised (OCI-R); 3) University of Rhode Island Change Assessment (URICA); 4) self-report of frequency of prior/current therapy; evaluation of the effectiveness of prior therapy; evaluation of the expected effectiveness of future therapy; and willingness to participate in future therapy; and 5) social/work adjustment. The OCSSSS was reliable and most items correlated with total score. The OCSSSS's total score and individual component scores were correlated with symptom severity, symptom type, subjective evaluations of treatment experiences, willingness to participate in treatment, avoidance, work and social adjustment, and stage of change. Regression analyses indicated the OCSSSS significantly predicts stage of change, controlling for symptom severity.