Date of Submission
2008
Degree Type
Dissertation
Degree Name
Doctor of Psychology (PsyD)
Department
Psychology
Department Chair
Robert A. DiTomasso, Ph.D., ABPP
First Advisor
George McCloskey, Ph.D., Chairperson
Second Advisor
Carrie L. Yurica, Psy.D.
Third Advisor
Carrie Champ Morera, Psy.D.
Abstract
Following a comprehensive review of the literature, the present study undertook the development and evaluation of a Resiliency Matrix to assess for the presence of protective and vulnerability factors. The factors, which emerged from the literature review, to promote the expression of resiliency were organized and operationalized into a Resiliency Matrix. Resiliency Matrix Protective Factor Composite scores were evaluated for construct validity through correlations with the Resiliency Scale of the BASC-2 and BASC-2 Depression T-scores, a measure of psychopathology. Resiliency Matrix Protective Factor Composite scores were then evaluated for predictive validity against measures of successful academic and behavioral adjustment to placement at a private residential school. Finally, Resiliency Matrix Protective Factor Composite scores were evaluated through chi-square analyses to determine the efficacy of Low, At-Risk and Average levels of Protective Factor Composites in successfully differentiating between those who pass or fail a major academic course and those who withdraw or those who continue enrollment at the school. Results suggest the Resiliency Matrix demonstrates sufficient construct validity to be considered a valid assessment of resiliency. Initial results of predictive validity did not achieve statistical significance. However, the Resiliency Matrix Protective Factor Composite scores demonstrated stronger correlations with measures of positive adjustment than did WASI IQ or BASC-2 Resiliency T-scores, suggesting the Resiliency Matrix deserves further study and development as an assessment of Resiliency.
Recommended Citation
Van Divner, Bobby R., "Evaluation of the Construct and Predictive Validity of a Resiliency Matrix" (2008). PCOM Psychology Dissertations. 142.
https://digitalcommons.pcom.edu/psychology_dissertations/142